Python Intern
Navi Mumbai, India, India
Intern
Summary
• Developed machine learning models for fraud detection achieving 95% accuracy • Built Flask-based web applications with integrated ML models for real-time predictions • Processed 2M+ records using NumPy and Pandas for data preprocessing • Created API endpoints for model deployment and integrated with frontend applications
Summary
Developed a comprehensive Power BI dashboard to analyze 3-year sales data and provide real-time insights for sales performance.
Summary
Engineered an Excel VBA application to automate P&L report generation and streamline multi-source data consolidation.
Summary
Conducted RFM analysis to segment customers and identify high-value contributors, enhancing targeted marketing strategies.
Summary
Developed a predictive inventory optimization model and an Excel VBA tool for inventory managers, reducing stockouts.
Summary
Designed and deployed an XGBoost-based e-commerce fraud detection model for real-time classification.
Summary
Performed healthcare cost analysis and statistical modeling on patient records to identify cost drivers and optimize treatment protocols.
Power BI, Tableau, Excel Charts, Matplotlib, Seaborn, ggplot2.
Excel (Advanced Functions, VBA, Power Query, Pivot Tables), SQL, Python.
MySQL, PostgreSQL, Oracle, MongoDB.
Descriptive Statistics, Hypothesis Testing, Regression, Time Series Analysis, SAS, STATA.
SSIS, Talend, Informatica, Power Query, Pandas.
Python (NumPy, Pandas, Scikit-learn), SQL, VBA, DAX, M Language.
Google Cloud Platform.
Git, Jupyter Notebook, SPSS, SAS, Alteryx.