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$35 USD / hour
Flag of INDIA
kandhala, shamli, uttar pradesh, india
$35 USD / hour
It's currently 1:57 AM here
Joined May 21, 2016
42 Recommendations

Shivam P.


4.8 (155 reviews)
$35 USD / hour
Flag of INDIA
kandhala, shamli, uttar pradesh, india
$35 USD / hour
Jobs Completed
On Budget
On Time
Repeat Hire Rate

Data Scientist | Machine/Deep Learning | NLP | CV

I am a machine-learning practitioner with 5+ years of experience in Data mining, Machine Learning, Deep learning, Statistical Modelling, Computer Vision and Natural Language Processing. I have worked across various domains such as Banking, Insurance, Forex, Stocks/Cryptocurrency, Healthcare, Telecom and Business Development within last 5 years. I am a specialized Data Scientist and Machine Learning/Deep Learning Practitioner with a Preferred badge with over 180+ satisfied Clients. Your project and satisfaction is my commitment. Highlights: ▮ High-performing Data Science and Machine Learning professional with extensive experience in BI/ Data-Science/Machine Learning Deep Learning life cycle management from conception to completion. ▮ Having deep understanding of algorithms and data structure i.e. all facets of supervised and unsupervised learning and data munging techniques to meet the analytics and AI needs. ▮ Hands on with web scraping, database management, modelling, integrating disparate systems for data analysis or Machine Learning / Deep Learning/ AI applications. ▮ Deep Learning and Computer Vision, Big Data based high-performance based solutions and services. - Highly proficient in Python and R. - Experienced in building end-to-end pipelines for data manipulation, modelling, model deployment and optimizations. - Knowledge of variety of data visualization - Knowledge of variety of machine-learning algorithms: - Regression (Linear, Logistic Regression, Multiple, GLM) - Statistical Modelling (Cluster Analysis, Decision Trees, Regression) - Classification (Naive Bayes, Support Vector Machine,Decision trees, Ensembles - Random forests, Gradient Boosting) - K Means/ hierarchical/DBSCAN/Affinity/Agglomerative/Spectral) DeepNets/Theano/Keras/Tensorflow/CNN/LSTM/ImageProcessing/StockPrediction/Predictive Modelling/Pytorch/Theano. - HoltWinters, ARIMA - Tools (Tableau, QlikView, QlikSense) - Database Management System- MySQL, MongoDB
Freelancer R Programmers India

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Portfolio Items

Node.js + face-recognition.js : Simple and Robust Face Recognition using Deep Learning. This npm package uses dlib under the hood and exposes Node.js bindings to face recognition tools from dlib, as I found them to produce highly accurate results. The dlib library uses deep learning methods and comes with some pretrained models, which have been shown to provide an astonishing prediction accuracy of 99.38% running the LFW face recognition benchmark.
Face Detection
Recommendation engines are nothing but an automated form of a “shop counter guy”. You ask him for a product. Not only he shows that product, but also the related ones which you could buy. They are well trained in cross selling and up selling. So, does our recommendation engines.

The ability of these engines to recommend personalized content, based on past behavior is incredible. It brings customer delight and gives them a reason to keep returning to the website.

We built it using Spark, mahout, Solr.
Building a Recommendation Model
Network Analysis using Python. 
Network analysis (NA) is a set of integrated techniques to depict relations among actors and to analyze the social structures that emerge from the recurrence of these relations. The basic assumption is that better explanations of social phenomena are yielded by analysis of the relations among entities.
Network Analysis
While we are still amazed with the basic applications of machine learning and artificial
intelligence, machine learning is continuously evolving at a high pace and bringing us the more
and more advanced algorithms & sub-fields such as Deep Learning or Neural Networks. Deep
learning implements highly advanced algorithms which are known as Neural Networks that are
inspired by the way our biological nervous system works, such as the brain, to process
information. It enables computers to identify every single data of what it represents and learn
patterns. In this project, the main objective is to build a Sentiment classifier model which takes
video as the input file and generate the sentiment of the video into positive sentiment or negative
sentiment based on GloVe algorithm and using the tensor flow as the machine learning
environment and also implementing other required libraries such as Speech Recognition, Movie
Python, Google-API-Python-Client.
1. Introduction
Deep learning or Neur
Sentiment Analysis
Object Detection using YOLO and MS COCO Data using Keras and tensorflow. YOLOv3.
Object Detection in real time. Object detection is a computer vision technique that allows us to identify and locate objects in an image or video. With this kind of identification and localization, object detection can be used to count objects in a scene and determine and track their precise locations, all while accurately labeling them.
Object Detection using YOLO
Sales Analysis using R and Tableau | Tableau Dashboard | Analysis

Sales analysis is mining your data to evaluate the performance of your sales team against its goals. It provides insights about the top performing and under performing products/services, the problems in selling and market opportunities, sales forecasting, and sales activities that generate revenue.
Tableau Dashboard


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$250.00 USD
He has done what I ordered , but you will have to tell hem more details about your project to do your work
Java Python Algorithm Machine Learning (ML) Data Mining
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1 month ago
$100.00 USD
Able to adapt to the work assigned to him and deliver on time with specific specification, good programmer and puts in the effort in the code.
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2 months ago
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Deliver within budget and timeline. Great time working with him and will work with him again if needed.
Python Report Writing Research Writing Image Processing Deep Learning
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5 months ago
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Awesome work, done on time
Python Statistics Machine Learning (ML) Data Mining
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Data Scientist

Sep 2018 - Nov 2019 (1 year, 2 months)
I was engaged in the following technologies as part of my responsibilities. Deep Learning based Forecasting Models, Churn Prediction Chat bot with Dialogue Flow and Natural Language Processing Integration of a Data Visualization and Reporting with Process Work Flow.

Data Scientist

Jul 2017 - Jul 2019 (2 years)
Stock Analysis and Time Series Analysis Building Hybrid Machine Learning and Deep Learning based forecasting model

Data Analyst

Jun 2017 - Mar 2018 (9 months, 2 days)
Data Insights and Reporting over multiple sources of data using Postgre SQL and Report Server. Daily Scripts / APIs / Services for reporting mails and alerts for all Google ODK for AUSFB - Insurance Data. Data Visualizations for Data Analytics across all verticals using Tableau Order flow management to reduce process flow time between various components of Data pipeline. Learning Module Development for Deep Learning (Keras+Tensorflow)



HBTI, Kanpur
Computer Science and Machine Learning

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Top Skills

R Programming Language 109 Statistics 107 Data Mining 100 Python 74 Machine Learning (ML) 53

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