Certified Data Scientist

Transforming Data into Actionable Business Insights

Certified Data Science professional with Master's in Economics, specializing in Python, Machine Learning, and Big Data Analytics. Proven track record of designing predictive models that reduce manual effort by 40% and accelerate reporting speed by 25%. Creator of InsightfulPy Python library with 25+ automated EDA functions.

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Technical Expertise

Comprehensive skill set covering the entire data science pipeline from data collection to model deployment

Programming & Development

Python SQL MySQL PostgreSQL MongoDB Git/GitHub Pandas NumPy Scikit-learn Flask

Machine Learning & AI

XGBoost LightGBM Random Forest SVM PCA Time Series Feature Engineering SHAP Hyperparameter Tuning

Big Data & Cloud

Hadoop PySpark Spark SQL Apache Kafka AWS SageMaker AWS S3 Azure ML Docker

Analytics & Visualization

Tableau Power BI Matplotlib Seaborn Plotly Statistical Analysis A/B Testing Hypothesis Testing

Featured Projects

Showcasing innovative solutions that demonstrate expertise in machine learning and data analytics

InsightfulPy - Python EDA Toolkit

Developed and published a comprehensive Python library with 25+ functions for automated exploratory data analysis, outlier detection, and statistical summaries. Available on PyPI for global data science community.

Python PyPI Statistics EDA

PyPI Package GitHub

Home Loan Default Prediction

Built XGBoost model achieving 83% accuracy on 50M+ records, reducing false positives by 22% and eliminating 1,200+ hours of manual review through advanced feature engineering and memory optimization.

XGBoost Feature Engineering Big Data Risk Analysis

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Employee Performance Analysis

Analyzed 1,200+ records using XGBoost (92.5% accuracy) with SHAP analysis to identify key performance drivers. Deployed predictive hiring model boosting accuracy by 20% for INX Future Inc.

XGBoost SHAP HR Analytics Predictive Modeling