Chris Harris Joseph Christy

Offering strong foundation in data analysis principles and passion for problem-solving. Brings solid understanding of statistical methods and proficiency in analytical tools like Python and Excel. Ready to use and develop these skills in Entry level Data Analyst / Engineer role, contributing to data-driven decision-making and continuous improvement.

Completion of Post Graduate Program in Data Science and Business Analytics

Ranked 3rd in Data Science Hackathon Great Learning,

• Capstone: Supply Chain Optimization | 12/2024

Built LightGBM model (R² = 99%) to reduce 3.18M tons in shipment mismatches, saving $159M. Delivered insights for inventory planning and demand forecasting.

• Credit Default & Market Risk Analysis | 10/2024

Boosted credit default accuracy to 95.3% using XGBoost, SMOTE, and feature selection. Applied RSI, moving averages, and correlation strategies for portfolio risk reduction.

• Customer Behavior & Sales Insights – Café POS | 09/2024

Analyzed sales patterns to design combo deals, remove 142 low-performing items, and optimize revenue through targeted offerings.

• Insurance Claim Fraud Detection (Tableau) | 09/2024

Improved fraud detection to 89%, reducing $180M in losses. Streamlined processing to 85% settlements within 30 days via claim trend analysis.

• Gold Price Forecasting (Time Series) | 08/2024

Developed RMSE-optimized model (27.94) using moving averages and stationarity transformations for more accurate investment predictions.

• SQL Case Study – New Wheels | 07/2024

Used SQL to uncover revenue loss drivers, optimize pricing/shipping, and provide Q4 growth recommendations.

• Visa Prediction & TrumpTweet Analysis | 06/2024

Achieved 74.6% accuracy with Random Forest for visa approvals. Applied NLP on 41K+ Trump tweets to reveal sentiment and communication trends.

• Lead Conversion Prediction – ExtraaLearn | 05/2024

Enhanced recall to 86.7% using tuned Logistic Regression, LDA, and Decision Tree models. Identified top drivers for targeted marketing.