Jenifer S

Dynamic data professional with experience at Tata Group, specializing in impactful data visualizations and strategic insights. Proficient in Python and SQL, I excel in transforming complex data into actionable intelligence. Adept at communicating findings to diverse stakeholders, I leverage analytical skills to drive data-driven decision-making and enhance business outcomes.

• PG Program in Data Science, Machine Learning & Neural Networks
• Microsoft Power BI Data Analyst – Microsoft via Coursera
• Tableau Business Intelligence – Tableau Learning Partner via Coursera

 HR Analytics – Predicting Employee Attrition
Tech Stack: Python (Pandas, NumPy, Seaborn, Matplotlib, SciPy), Machine Learning (Classification Algorithms)

· Analyzed HR data to understand factors driving employee attrition.

· Identified root causes and trends influencing turnover rates.

· Built classification models to predict attrition risk and supported development of retention strategies.

World Happiness Report – Predicting Happiness Scores
Tech Stack: Python (Pandas, NumPy, Seaborn, Matplotlib, SciPy), Regression Algorithms

· Developed a regression model to predict happiness scores based on socio-economic indicators.

· Conducted feature analysis to identify significant predictors.

· Handled data preprocessing, model building, and performance evaluation.