Karthik M

As a Freelance Data Analyst, I utilized SQL-driven segmentation and predictive modeling to reduce churn by 18%, preserving significant customer value. I created over 5 dashboards using Tableau and Power BI for actionable insights, and ranked in the top 5% of Kaggle's Rainfall Prediction Challenge with a highly accurate forecasting model.

In my role as an Open-Source Data Analyst, I designed a SQL-integrated sales forecasting tool that improved demand prediction accuracy by 23%. I also developed a reusable Python visualization library adopted by numerous contributors, enhancing analytics capabilities across various teams.

Provide mathematics and statistics tutoring and mentorship to foundation-level students, improving peer-learning outcomes and academic performance across mentored cohorts.

Implemented a data-driven risk profiling and credit tracking system that reduced potential default risk by 28% and optimized inventory turnover via ABC analysis to reduce stockouts for high-margin SKUs.

Grade: 9.63

Pursuing a Bachelor of Science in Data Science & Applications with a CGPA of 9.63, ranking in the top 5%. The program focuses on data analysis, machine learning, and applications of data science in various domains.