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.
▮ 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)
- HoltWinters, ARIMA
- Tools (Tableau, QlikView, QlikSense)
- Database Management System- MySQL, MongoDB
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.
Jul 2017 - Jul 2019 (2 years)
Stock Analysis and Time Series Analysis
Building Hybrid Machine Learning and Deep Learning based forecasting model
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)
Computer Science and Machine Learning
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Preferred Freelancer Program SLA 1 92% US English 1 83%