05/29/2025 updated
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Data Scientist with Machine Learning Expertise
Pune, India Master's degree in Data Science and Big Data Analytics
A/B TestingAmazon Web ServicesAmazon S3Data AnalysisAutomationBig DataBigQueryCloud ComputingWeb ScrapingData VisualizationForecastingR (Programming Language)Statistical Hypothesis TestingPython (Programming Language)Logistic RegressionMATLABMachine LearningRegression AnalysisPower BISeleniumSoftware EngineeringSQL DatabasesStatisticsData StreamingTableau (Software)Data ProcessingGoogle CloudFeature EngineeringSnowflakeRandom ForestBackendFront End Software DevelopmentDecision TreesProgramming Languages
Machine Learning
Implementation of various machine learning algorithms including Random Forest, Decision Tree, and Logistic Regression for classification and prediction tasks with experience in model evaluation and optimization.
Programming Languages
Proficiency in Python, R, SQL, and MATLAB for data analysis, statistical modeling, and application development with both frontend and backend experience.
Data Visualization
Creation of interactive dashboards and reports using Power BI and Tableau to analyze trends, visualize data, and support data-driven decision-making.
Web Scraping
Development of automated web scraping solutions using Python libraries like BeautifulSoup, requests, and Selenium to extract structured data from websites.
Data Processing
Experience in comprehensive data pre-processing, cleaning, transformation, and feature engineering to prepare datasets for analysis and modeling.
Cloud & Big Data
Knowledge of AWS (S3), Google Cloud Platform (BigQuery, DataFlow), and Snowflake for handling and processing large datasets.
Statistical Analysis
Application of statistical modeling techniques including regression analysis, hypothesis testing, and A/B testing to derive insights from data.
Implementation of various machine learning algorithms including Random Forest, Decision Tree, and Logistic Regression for classification and prediction tasks with experience in model evaluation and optimization.
Programming Languages
Proficiency in Python, R, SQL, and MATLAB for data analysis, statistical modeling, and application development with both frontend and backend experience.
Data Visualization
Creation of interactive dashboards and reports using Power BI and Tableau to analyze trends, visualize data, and support data-driven decision-making.
Web Scraping
Development of automated web scraping solutions using Python libraries like BeautifulSoup, requests, and Selenium to extract structured data from websites.
Data Processing
Experience in comprehensive data pre-processing, cleaning, transformation, and feature engineering to prepare datasets for analysis and modeling.
Cloud & Big Data
Knowledge of AWS (S3), Google Cloud Platform (BigQuery, DataFlow), and Snowflake for handling and processing large datasets.
Statistical Analysis
Application of statistical modeling techniques including regression analysis, hypothesis testing, and A/B testing to derive insights from data.
Languages
EnglishNative speaker
Project history
Pursuing Master's degree in Data Science and Big Data Analytics
Developed a machine learning classification system to detect smoking habits from bio-signal data, achieving 78% accuracy. Performed data pre-processing and feature selection on a 55K-record dataset with 27 attributes. Implemented multiple models including Logistic Regression and ensemble methods.
Developed a machine learning system to identify fraudulent credit card transactions, implementing Decision Tree and Random Forest algorithms. Performed comprehensive data pre-processing, visualization, and feature scaling on transaction data.