ANUSH BHARATHWAJ account profile

Leveraged warranty data analysis to improve product quality, customer satisfaction, and reduce costs. Identified 25 key failure points reducing claims by 15%. Replaced a material to cut claims by 20%. Utilized visualization tools for stakeholder insights. Achieved 20% warranty cost reduction, saving $500k. Improved product quality, reducing claims by 15%. Enhanced customer experience, boosting NPS by 15 points. Achieved 92% accuracy in car classification using Logistic Regression.

Trained a Decision Tree Regression model with 87% accuracy to predict company revenues, optimizing data-driven strategies. Transformed string-based financial data into numerical format, handling missing values, and preprocessing 630,000 data points across 35 ESG variables. Built a Streamlit app with Plotly for interactive ESG data visualization. Explored advanced technologies like Random Forest and deep learning, boosting accuracy by 20%. Engineered a data pipeline reducing manual effort by 80%.

Bank Loans Analyst at XYZ Bank: Identified 5% skewed income and debt-to-income ratios revealing hidden risks. Adjusted for 60% on-time payments to improve model accuracy. Found credit score (-0.75) and employment gaps (+0.45) crucial for struggling borrowers, while income (+0.62) and debt-to-income ratio (-0.58) were key for stable ones. Improved data accuracy by 40%, enhancing decision-making.