Data Science Jobs

I have a collection of X-ray studies and I need a robust deep-learning model that can look at each image and instantly tell me which predefined category it belongs to (e.g., chest PA vs. chest lateral, cervical spine, hand, etc.). The job is strictly about classifying the type of X-ray, not diagnosing any pathology. Here is what I already have and what I expect from you: • A curated folder structure with several thousand labelled PNG and DICOM files that you can download from my secure server. • A preference for Python with either PyTorch or TensorFlow/Keras—use whichever framework you feel will achieve the best accuracy and fastest inference on a modern GPU. • Clean, reproducible code (Jupyter notebook or script) plus a short README that explains environment se...

Freelancer Job Post – Algorithmic Trading Developer (SGTF, IBKR, Cloud‑Hosted) Project: Looking for an experienced algorithmic trading developer to build a fully autonomous system using the Smoothed Gaussian Trend Filter (SGTF) indicator. Key Requirements: • Long/short trading based on SGTF trend and signal logic • Trade multiple stocks simultaneously across multiple timeframes • Independent signal states and position management per symbol • Connect to Interactive Brokers (IBKR) via API or Gateway • Robust execution logic, risk controls, logging, and reconnection handling Architecture: • Custom UI / standalone application with: • Real‑time dashboard (signals, positions, PnL) • Controls for universe, timeframes, and risk parameters &bull...

I need a propensity-modelling software package that plugs directly into our CRM system, website analytics, and sales database, unifying those streams into a clean, continuously updated dataset. On top of that data layer, the build must train, evaluate, and deploy the best-performing predictive models—whether regression, decision-tree, neural-network, or any other technique that proves superior—then surface the results through a lightweight web interface and an API our teams can call in real time. Key deliverables • Automated ETL jobs and data-quality checks for the three sources mentioned above • Modular training pipeline with experiment tracking, lift/ROC reporting, and feature-importance visuals • Scoring service exposed via REST (or GraphQL) endpoints plu...

import pandas as pd EXCEL_FILE = "" # ----------------------------- # Create Excel Template # ----------------------------- def create_excel_template(): data = { "Service_ID": [], "Sub_Function": [], "DID": [], "Description": [], "Data": [] } df = (data) df.to_excel(EXCEL_FILE, index=False) print(f"Excel template created: {EXCEL_FILE}") # ----------------------------- # Read and Parse Excel # ----------------------------- def parse_excel(): df = pd.read_excel(EXCEL_FILE) # Remove completely empty rows df = (how="all") # Replace NaN with None df = ((df), None) structured_data = [] for _, row in (): service_d...

I need to design the workflow for an LLM orchestrator, integrating with various systems. It should call the customer master DB and policy admin to identify existing clients or handle new quotes. For new cases, I'll clearly differentiate based on line of business (P&C personal auto, commercial, travel, life Insurance) . I'll focus on setting up the necessary infrastructure, models, vector DB, middleware, and PoC milestones. Citations will be needed . I’ll ensure everything fits within the architecture, including tool-calling patterns and structured forms. Here’s a concrete, LOB aware architecture you can actually brief to a dev partner or internal team. I want to embed an end-to-end AI layer into my insurance website that can greet visitors, guide them through quo...

I am seeking an experienced academic researcher to deliver a complete, journal-ready research paper on Explainable AI (XAI) for predicting and interpreting student academic performance. The study must use multiple academic data sources (exams & quizzes, assignments & projects, and class participation records), which I will provide in CSV format. Scope of work: • Clean, preprocess, and align datasets using student IDs and time frames • Perform relevant feature engineering • Build at least one strong predictive model (with optional comparisons) • Apply explainability techniques such as SHAP, LIME, decision trees, or equivalent, with clear justification • Evaluate predictive performance and interpretability • Produce publication-quality visualizat...

I’m preparing a research paper that demonstrates how explainable AI can predict and interpret student academic grades using a mix of exams and quizzes, assignments and projects, plus class participation records. I already have raw datasets in CSV form; what I need is the complete experimental pipeline and a well-structured manuscript ready for journal submission. Here’s what I’m expecting: • Clean and engineer the three data sources so they align on student IDs and time frames. • Build at least one solid predictive model—feel free to compare alternatives—but tie every result back to a clearly articulated explainability layer (e.g., decision trees, SHAP, LIME or any other method you justify). • Evaluate accuracy and, just as important, hig...

AI & Full-Stack Tech Client Acquisition Partner Needed (Commission-Based) I am an experienced Full-Stack AI & Software Engineer with strong hands-on expertise in building production-ready systems, including: AI / LLM Development (OpenAI, Gemini, LangChain, RAG, AI Agents) Machine Learning & Data Science (Python, Pandas, NumPy, Scikit-learn) Backend Development (Python, Node.js, REST APIs) MERN Stack (MongoDB, Express, React, Node.js) DevOps & Deployment (Docker, CI/CD, Cloud hosting) Automation & AI Chatbots (WhatsApp, Web, CRM integrations) I deliver scalable, high-quality solutions with clear communication and on-time execution. Role: Client Acquisition Partner I’m looking for a motivated, reliable partner who can bring genuine AI / software development proj...

I'm seeking an experienced AI developer to create a computer vision model focused on detecting people. The model will need to function effectively in both indoor and outdoor environments. Key Requirements: - Primary function: Object detection with a focus on people - Adaptable to both indoor and outdoor settings - High accuracy and reliability Ideal Skills and Experience: - Expertise in AI and machine learning - Strong background in computer vision, particularly in object detection - Experience with datasets and training models for varied environments - Proficiency in programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch Please provide examples of similar projects you've completed.

I need a data-savvy investigator to help me confirm whether social-media content is being deliberately down-ranked or hidden. My sole aim is to identify suppressed algorithms, with a particular emphasis on content-visibility suppression on major social platforms. You will design and execute an evidence-based study: gather relevant data points (public APIs, scraped feeds, or previously archived datasets), apply statistical or machine-learning techniques to spot anomalous reach patterns, and document any rules, thresholds, or signals that appear to mute posts. I am open to your preferred toolkit—Python, R, SQL, or specialty OSINT platforms—as long as the workflow is reproducible. What matters most is a clear, defensible methodology, transparent code, and a concise explanati...

I want to enrich my online shoe store with an AI-powered recommendation engine that studies each shopper’s purchase history and instantly serves up the pairs they are most likely to buy next. The model can draw on three data streams—user account data, my e-commerce platform records, and any third-party customer datasets I supply—to build a unified profile and surface truly personal suggestions. Here is what the finished job looks like from my side: • A trained model (Python preferred, TensorFlow or PyTorch are both fine) that ingests the above data sources, updates itself regularly, and outputs ranked product recommendations in real time. • An API or embeddable snippet I can drop into the product and home pages to display “You might also like” sh...

I’m looking for a data scientist based anywhere in Latin America to help me create reliable predictive models for a finance-focused project. You’ll start with large historical datasets stored in SQL and deliver models that accurately forecast key financial indicators. I work mainly with Python, so you’ll find Pandas, NumPy, Scikit-learn and, when deep learning is justified, TensorFlow already in place. If you prefer R for certain tasks, that’s perfectly fine as long as the final workflow remains reproducible. The end-user needs to consume insights through Power BI, so once the model is validated I’ll ask you to craft intuitive dashboards that highlight drivers, confidence ranges and any red-flag anomalies the model detects. Solid statistical grounding is esse...

We want to do this in a consulting / facilitators / builders format in which we work with the facilitator / consultant / trainer for 3-6 hours a week for 3-6 months in order to help us collaboratively create various agents for our private equity business. The only billed time will be the time spent on the video call with our team, unless specifically approved otherwise. we want to be able to create a screen scrape tool to average certain cost items of specific real estate proejcts We also want to compare legal documents vs term sheets and excel spreadsheets Data sources • Company databases (SQL, flat files, Excel exports) - Dropbox all our files are in drop box • Extensive web scraping for competitor benchmarks and investment-market signals If you have ideas for safely add...

The goal is to build a reliable pipeline of senior-level IT professionals for three key vacancies: Software Engineer, Data Scientist, and IT Project Manager. Every recommended candidate must show proven expertise in cloud computing, machine learning, or project management, aligned to the role they’re being considered for. Job descriptions, salary bands, and interview formats are ready on my side. Your part covers market mapping, targeted outreach, initial qualification calls, and CV submission. LinkedIn Recruiter, GitHub, Stack Overflow, and niche Slack or Discord communities are the sourcing channels that typically work well for us, so facility with those tools—and a light ATS workflow—will speed things up. Deliverables • At least five qualified, interview-ready...

We have a platform that requires user to do a face capture, means user will take a live picture of themselves The goal is to ensure that only real users use our system. Let me know if you have done anything like this or capable

I'm looking for an expert in multi-fidelity Bayesian optimization to optimize material science processes, potentially focusing on reaction optimization. Key requirements include: - Optimize processes using numerical and categorical data - Experience in material science and Bayesian optimization - Strong analytical skills to interpret complex datasets Ideal skills and experience: - Proven track record in multi-fidelity Bayesian optimization - Background in material science, particularly in reaction optimization - Proficiency in handling both numerical and categorical data

I want a production-ready Python algorithm that can scan the Nifty 50 throughout the session, weigh profit opportunities against downside risk, and fire off intraday orders several times a day when the reward-to-risk profile is attractive. Core logic • Fuse three data streams in real time: historical price series, live technical-indicator feeds that you compute on the fly, and sentiment or headline signals drawn from the latest market news. • Use that blended input to generate probabilistic forecasts, then translate those forecasts into position sizing that keeps risk in check while still pursuing upside. • The system must be able to trigger, modify, and exit trades automatically during market hours—no end-of-day batching. I code in Python myself, so please kee...

Our mission is to develop a cutting-edge AI Assistant designed specifically for educational institutions, focusing on enriching the learning experience for students and supporting educators in the fields of history and geography. This AI Assistant will serve as an interactive tool to answer questions, provide insights, and facilitate a deeper understanding of historical events and geographical data. Key features we aim to include: - Accurate and instant responses to student and educator inquiries. - Integration of historical databases and geographical information systems for comprehensive analysis. - User-friendly interface for ease of use in classroom settings. - Customizable learning modules tailored to curriculum requirements. We are seeking a talented team with the following skills a...

I’m putting together a series of college-level workshops and need an expert who can both design and deliver engaging, lab-style sessions on AI, NLP, and machine learning. The audience will be under-grad and post-grad students who already code in Python but have limited exposure to real-world AI pipelines. Scope The program should span three core tracks—an approachable “Introduction to AI & ML,” a set of “Hands-on NLP Projects” that let students build something tangible, and a closing block on “Advanced Machine Learning Techniques” that shows them what’s possible beyond the basics. Because the colleges have explicitly asked for hands-on labs rather than slide-only lectures, your material needs to revolve around live coding, intera...

I need a robust workflow that taps directly into the Sentinel satellite constellation to track current-day forest loss across tropical regions. The end goal is near-real-time monitoring: a clear indication, week by week, of where fresh clearing is happening so I can flag hotspots and act quickly. Scope of work • Acquire and pre-process the latest Sentinel imagery for my specified AOIs in the tropics (cloud masking, atmospheric correction, seamless mosaicking). • Run an automated change-detection routine that distinguishes new clear-cuts from seasonal or spectral noise. • Output intuitive products—shapefiles, GeoTIFFs, and a simple dashboard or web map—that visualise forest-loss polygons with dates, area statistics, and confidence scores. Acceptance cr...

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I need an expert to develop embedded algorithms for our OWLY predictive maintenance platform. The platform uses fused vibration and acoustic sensing to detect early equipment faults in home appliances, specifically washing machines, dryers, and refrigerators. Key Requirements: - Convert sensor data into actionable equipment health diagnostics. - Focus on early fault detection for motors, bearings, and gearboxes. Ideal Skills and Experience: - Strong background in embedded systems and algorithm development. - Expertise in signal processing and sensor data analysis. - Experience with home appliance maintenance or diagnostics. - Familiarity with machine learning techniques is a plus.

I’m refining an AI-powered electronic medical record and need a seasoned pharmaceutical professional to keep the clinical logic on solid ground. Your core mandate is drug-interaction and safety guidance, with particular attention to contraindications, accurate dosage ranges, medicine names and clear-cut usage instructions. The system already recognises lab values and diagnoses; what’s missing is a clinically reliable medication layer. I want your expertise to help us: • Map contraindications that the AI must flag automatically • Define dosage guidelines by age, weight and comorbidities • Validate proprietary and generic medicine names for search accuracy • Draft concise, practitioner-friendly usage instructions ready for UI display You’l...

I need help analyzing a collection of text-based data for an ongoing research project. My background is in artificial intelligence and data science, yet I want a fresh perspective on exploratory analysis, pattern discovery, and interpretation so the insights are both rigorous and clearly actionable. The core task is straightforward: ingest the raw text files I provide, clean and structure them appropriately, then run exploratory and statistical analyses that reveal key themes, sentiment trends, and any significant correlations you uncover. Feel free to use Python with pandas, NumPy, NLTK, spaCy, or other standard NLP and data-analysis libraries—whatever you are most comfortable with as long as the workflow is reproducible. Because I don’t have a hard deadline, quality and cla...

I have just stepped into a Data Scientist / GenAI position after coming from a non-technical background and I need an experienced hand to shorten my learning curve. I can set aside two paid hours every workday for live, screen-shared sessions where you guide me through the actual tasks I’m handling at the office. My immediate focus is on AgenticAi and GenAi as well as Programming and coding, all in Python. Most of the problems revolve around making agentic tools and doing the coding product, then pushing them into production-ready scripts or notebooks. Help me structure features, debug loops, and explain best practices as we go. Typical session flow • A quick review of the day’s project goal (shared repo or notebook) • Pair-programming or walkthrough while I imp...

I have safety sector time-series dataset that combines three synchronized streams: sensor imagery, textual maintenance logs, and high-frequency numeric readings. The objective is to forecast future values—not merely detect anomalies—so grid operators can anticipate demand, equipment stress, and renewable supply fluctuations. Because this is a research-level effort, I’m not looking for an off-the-shelf CNN, RNN, or simple transformer stack. I need a genuinely novel architecture (or a rigorously justified adaptation of cutting-edge multimodal papers) that fuses image, text, and numeric signals into a single forecasting pipeline and demonstrably outperforms strong baselines. Key expectations • End-to-end experimentation code (Python, PyTorch or TensorFlow) with clea...

My interview is coming up quickly and I need to fast-track my understanding of how Generative AI, Snowflake, and Python work—individually and, more importantly, together in production-style workflows. I’m starting from a beginner level, so I’m looking for an instructor who can translate complex ideas into clear, practical takeaways. Here’s what will help me most: • Live demonstrations with explanations as we step through code, Snowflake queries, and model integrations in real time. • Space to interrupt with questions so I can connect the dots on the spot. • Concrete, industry-based examples—think end-to-end pipelines that load data into Snowflake, prep it with Python, and feed it to a GenAI model or prompt-engineering loop. • Short r...

Build a clean, modern, premium LMS platform with strong UX that supports: • Cohort-based live learning • Recorded lectures • Assignments & submissions • Basic gamification • Mentorship workflows This is Phase 1 (MVP). We will scale further after validation. ⸻ Scope of Work (MVP) Core Platform • User authentication (student, mentor, admin roles) • Student dashboard • Course/module structure • Progress tracking • File upload (assignment submission) • Admin panel for content management Live Learning • Zoom integration (API-based preferred) • Lecture recordings access Engagement • Points system • Leaderboard (basic) • Student profile progress Automation • Email notifications (transa...

I have a kaggle dataset containing colored images and thermal image .. do feature extraction and then combine them and the do feature extraction on it

I have safety sector time-series dataset that combines three synchronized streams: sensor imagery, textual maintenance logs, and high-frequency numeric readings. The objective is to forecast future values—not merely detect anomalies—so grid operators can anticipate demand, equipment stress, and renewable supply fluctuations. Because this is a research-level effort, I’m not looking for an off-the-shelf CNN, RNN, or simple transformer stack. I need a genuinely novel architecture (or a rigorously justified adaptation of cutting-edge multimodal papers) that fuses image, text, and numeric signals into a single forecasting pipeline and demonstrably outperforms strong baselines. Key expectations • End-to-end experimentation code (Python, PyTorch or TensorFlow) with clea...

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m a beginner looking for a 1-on-1 Databricks instructor for a very hands-on, fast-paced 2-week program. Requirements: - Strong real-world Databricks experience - Hands-on Apache Spark (PySpark), SQL, Delta Lake - Real use case / mini project (end-to-end pipeline) - Live screen sharing, coding together - Beginner-friendly but practical (no theory-only) Goal: By the end of 2 weeks, I want to confidently build and understand a real Databricks data pipeline. Availability: 5–6 sessions per week, 1–1.5 hours per session Please share: - Your Databricks experience - How you would structure these 2 weeks - Your hourly rate Thanks!

Job Description We are seeking an experienced full-stack developer or development team to build a secure, AI-powered financial data visualization and document platform with strong Digital Rights Management (DRM) and semantic search (RAG) capabilities. The platform will host and stream financial documents (PDFs), allow structured hierarchical navigation, enable AI-driven discovery and summaries, and enforce strict access control to prevent unauthorized downloads or redistribution. Monetization via subscriptions and ads is a core requirement. This is a serious, long-term project requiring strong architecture, security, and AI integration experience. Core Functional Requirements Frontend (SPA) Single Page Application (SPA) 6-level hierarchical navigation: Country → Sector → Co...

To simplify paying you and communicating with you, I am looking for a coder that who located in the United States. I’m putting together a fully automated day-trading system focused on squeezing out short-term gains every session. Because speed and execution nuance are everything, I only want to work with someone who is already active in the U.S. markets—you know the quirks of pre-market liquidity, Level 2 tape action, and the maddening volatility that can erupt around economic prints. Scope The core of the project is an algorithm that scans real-time data, identifies high-probability set-ups, and triggers rapid entries and exits in both equities and the more liquid commodity contracts. The logic needs to be modular so I can swap indicators or risk parameters without rewriti...

Hiring Freelance Research Paper Writer (Academic) We are looking to hire an experienced freelance research paper writer to assist with academic research and paper development. Scope of Work Topic research and literature review Writing high-quality research papers (IEEE / Scopus / Springer / Elsevier format as required) Proper citations & referencing (APA / MLA / Chicago / IEEE) Plagiarism-free content with Turnitin report Revisions based on feedback Formatting as per journal/conference guidelines Requirements Proven experience in academic research paper writing Strong command of English (academic writing) Ability to meet deadlines strictly Experience in journals/conferences is a big plus Preferred Domains (mention if applicable) Computer Science, Engineering, Manageme...

I’m assembling the core team for a brand-new, bootstrapped startup. Funding will come later; for now I need people who see the long-term vision, crave recognition, and are ready to put real skin in the you are looking for money then dont bid. If you are looking for value for now and money later then. Welcome to the team brother and sisters. Technical minds will drive our product from zero to MVP. If you live and breathe full-stack development, can craft a rock-solid mobile app, or know how to turn raw data into insight with data science and engineering skills, your expertise is exactly what I want shaping our architecture. Creative energy is just as vital. Graphic designers, content writers, and video producers will define our brand, voice, and story across every touchpoint. From...

I want to quantify how recent advances in artificial intelligence are influencing forecasts of French GDP. I already have access to long-run historical GDP time-series and would like you to work only with that dataset for now. The task is strictly quantitative: build and compare solid économétriques models that incorporate an IA variable (or proxy) and measure its marginal effect on growth projections. You will be free to choose among standard time-series techniques—VAR, ARDL, error-correction, whatever proves statistically sound—provided the approach is fully documented and reproducible in R, Python, or Stata. Along the way, please explain every transformation, stationarity check, and specification test so that the methodology can be defended in an academic sett...

I need expert assistance in integrating AI and ML into the execution and monitoring of an oil and gas capex project. Key focus areas: - Project scheduling optimization - Cost engineering Ideal Skills and Experience: - Background in oil and gas industry - Expertise in AI/ML applications - Strong project management skills - Experience in cost engineering and financial analysis Looking for someone who can provide innovative solutions to enhance efficiency and reduce costs.

I want to replace several manual reporting routines with an end-to-end AI workflow that ingests data from our internal finance databases and live web sources, then produces clear, timely analytics for management. Reporting and analytics are the sole focus—no transaction execution—so the system must excel at pulling, cleaning, and interpreting numbers rather than booking them. We also want to compare legal documents vs term sheets and excel spreadsheets Data sources • Company databases (SQL, flat files, Excel exports) - Dropbox all our files are in drop box • Extensive web scraping for competitor benchmarks and investment-market signals If you have ideas for safely adding external financial APIs later, let me know, but the two feeds above are mandatory. - Th...

I already work at an advanced level with kinetic theory, yet I want to sharpen my non-isothermal modeling skills for biomass gasification and pyrolysis. The goal is to walk through rigorous, step-by-step workflows—from selecting the appropriate kinetic scheme and choosing heating rate protocols, through parameter estimation and model validation—so that I can streamline my own research code and confidently defend the methodology in publications. Here’s how I picture the engagement: • A short series of live, screen-shared sessions (recordings provided) where you demonstrate your preferred workflow. I’m comfortable talking equations, differential mass balances, and Arrhenius-type parameter fitting right away, so please pitch the discussion accordingly. •...

I'm seeking an AI expert to automate tasks in the finance sector. Key requirements include: - Developing AI solutions to streamline finance operations - Expertise in machine learning and data processing - Experience in the finance industry is a plus Ideal skills and experience: - Proven track record in AI automation - Strong background in finance - Ability to deliver efficient, scalable solutions Please share relevant experience in your application.

We' re actively seeking a special strategic individual and proven app developer to collaborate with Encyclomedia on the creation of a next-generation, AI-enhanced platform designed to transform how media planning, audience intelligence, and performance optimization are executed in today’s data-driven environment. This is not a typical build request. It is an opportunity to co-develop (as a potential partner) a flagship product positioned for market leadership, backed by Encyclomedia’s deep expertise in media strategy, analytics, and measurable ROI. With more than three decades of experience serving blue-chip brands, agencies, and media organizations, we bring validated market demand, industry relationships, and a clear commercialization pathway. The app will integrate ad...

I am looking to develop a decision-support algorithm that identifies and ranks the best production options across locations, varieties and time windows, based on a large set of variables. The model should evaluate each option using economic factors (costs, prices, margins), agronomic performance (yield, quality, timing reliability), logistics (distance to market, transit time, reliability), and risk (climate, water, regulatory, operational). The algorithm must first eliminate non-viable options using hard constraints (e.g. feasibility, minimum thresholds), and then score and rank the remaining options using a weighted, configurable logic that produces a single comparable score per option. The goal is not pure prediction, but a transparent and scalable optimization engine that supports bett...

I want an Android app that SIMULATES crash game behavior for PROBABILITY ANALYSIS purposes. Requirements: - Simulated crash rounds based on probability models - Streak & volatility analysis - Auto-generated signals (Low / Medium / Avoid) - Target outcome accuracy around 75%

I need AI trainer. The goal is to arrive at production-ready machine-learning models. You will receive full access to the data, a brief describing the business context behind each task. What matters most is a clear, well-documented workflow: data cleaning, feature engineering, model selection, hyper-parameter tuning, cross-validation, and benchmark reporting. I also need concise guidance notes so my in-house team can rerun or extend the work later. Deliverables • Trained model files saved with versioning and clear naming • A short report (PDF or Markdown) summarising methodology, metrics, and next-step recommendations I’ll be available for quick feedback cycles and can spin up extra compute if needed. Let’s turn this diverse data into smart, reliable insights.

I need a professional to create a modern and ATS-friendly resume and cover letter tailored for a mid-level Data Scientist position. Requirements: - Resume for IT/Data Science/Software field - Highlight my skills: Python, SQL, Power BI, Excel - Add internship/project details - Format should be clean, professional, and easy to edit - Delivery in Word and PDF Soft Skills to Emphasize: - Communication - Problem-solving - Teamwork Ideal Skills and Experience: - Proven experience in resume writing for tech roles - Familiarity with ATS requirements - Strong understanding of data science industry and job requirements - Excellent writing and formatting skills

I’m wrapping up my final-year project and need an AI module that can generate truly personalized workout plans. The focus is narrow and clear: every plan must be driven by the user’s stated fitness goal of “improving overall fitness.” I’m not looking for real-time form feedback or progress analytics at this stage—just rock-solid plan generation that feels tailored, practical, and evidence-based. Here’s the flow I have in mind. A user enters basic profile data and selects “Improve overall fitness” as a goal. Your algorithm interprets that goal, selects appropriate training modalities, adjusts intensity and volume to suit beginner through intermediate levels, and outputs a structured weekly routine (exercises, sets, reps, rest, and optio...

Responsible for initiating the implementation and application of Data Science strategies to enhance company results. Some of the projects developed: - Time Card Information Extraction Automation via OCR Developed an OCR pipeline to automatically extract and process information from time cards and integrate it into the company's system; Reduced processing time and minimized manual errors in employee time management; - Intelligent Chatbot for Internal Support Modeled an intelligent chatbot trained on the company manual, utilizing LLMs with optimized prompts, Transformer-based architecture via Hugging Face, RAG (Retrieval-Augmented Generation) approach, Redis for context caching, and Gunicorn as the application server for production; - Inventory Prediction and Purchasing Optimization...

I have a research paper in development and want to elevate it to publication-ready quality. I’ll provide you with the current manuscript, my notes, and any supporting data; what I need back is a version that reads clearly, is backed by up-to-date sources, and meets the formatting and citation standards of high-impact journals.