Data Analyst with an MCA degree and a portfolio of five end-to-end analytics projects covering Python, SQL, Power BI, EDA, statistical analysis, A/B testing, and machine learning.
DR NSAM First Grade College, Nitte Deemed to be University
Oct 2024 – Jul 2025
Designed and delivered a data-driven curriculum to 100+ students covering programming, databases, and analytical problem-solving, resulting in improved assessment pass rates. Translated complex analytical concepts into accessible lessons for non-technical students, building stakeholder communication and data storytelling competencies.
Koshys Group of Institutions
Oct 2023 – Oct 2024 · Bengaluru
Designed curriculum and delivered structured lessons on computer science fundamentals to 80+ students; conducted systematic performance evaluations improving student exam outcomes.
Master of Computer Applications (MCA)
Sep 2023
8.5 CGPA
Bachelor of Computer Applications (BCA)
Jul 2021
8.17 CGPA
Analyzed pricing behavior across 1,200 orders and $1.51M GMV using Python, SQL, statistical testing, and Power BI; found a 3.6% AOV uplift for the pricing variant with strongest response in Electronics and UAE. Built and deployed a live four-tab Streamlit app with a Random Forest revenue predictor and created a four-page Power BI dashboard with DAX measures, KPI cards, and slicers.
Quantified $4.78M monthly attrition cost by analyzing an HR dataset using Python, Pandas, Seaborn, and 10 SQL queries. Recommended retention strategies and delivered a four-page Power BI dashboard with five Python visualizations and DAX measures to identify high-risk departments.
Analyzed 9,800 sales orders using Python, SQL, and Power BI; found $2.26M total revenue, 47% growth from 2015–2018, Technology as the top category, and West as the strongest region. Used SQL business questions and dashboard visuals to support revenue tracking and growth strategy.
Analyzed churn, customer value, and campaign performance across 2,000 customers using Excel and Python; found a 29.4% churn rate, ₹14.75L revenue loss, and Referral as the best-performing channel at 9.1x ROI. Identified 446 at-risk high-value customers and built dashboards to prioritize re-engagement, retention, and campaign budget decisions.
Analyzed academic performance of 1,000 students using Python, Excel, and Power BI; found test preparation improved scores by 5–10 points and parental education correlated with higher outcomes. Built an interactive dashboard to help educators identify improvement areas and at-risk students.