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Data Science with 2+ years in SQL, Python, Power BI, and Tableau
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Assessing your cultural and operational fit
Data Analyst with a background in Computer Science, specializing in the end-to-end data life cycle. Skilled in using SQL and Python to extract insights from messy datasets and build interactive dashboards in Power BI and Tableau. Committed to delivering accurate statistical analysis and actionable business insights as an entry-level professional.
University of Mysore
Master of Computer Applications
August 1, 2022 – June 30, 2023
Mangalore University
Bachelor of Computer Applications
August 1, 2018 – June 30, 2021
Kodagu University, India
Assistant Professor – Computer Science
December 1, 2023 – December 1, 2025
India
Customer Churn Analysis
June 20, 2026 – Present
Analyzed 6.4K telecom customers using SQL and Power BI to identify churn drivers and calculated an overall 27% churn rate (1.73K customers). Identified 47% churn among month-to-month contracts compared to 11% yearly and 3% two-year plans. Built an interactive Power BI dashboard visualizing churn trends across tenure, payment methods, and service usage.
View ProjectE-commerce Funnel Analysis
June 20, 2026 – Present
Analyzed 10K user sessions using SQL, Python (EDA), and Power BI to evaluate conversion across browsing, cart, checkout, and purchase stages. Identified 70.6% browse-to-cart conversion but nearly 50% drop-off between cart and checkout, with an overall purchase conversion of 10.8%. Built a Power BI dashboard to track funnel metrics and generated insights for improving checkout flow and increasing conversions.
View ProjectCultural Fit Analysis
The candidate's background as an Assistant Professor and involvement in personal projects demonstrates initiative and a commitment to continuous learning. The projects align well with typical data science challenges, indicating a practical mindset. However, the lack of diverse industry experience beyond academia and personal projects might require some adaptation to a corporate data science environment. The target role is Data Science, and the candidate's skills and projects are directly relevant, indicating a good foundational fit.
Soft Skills & Operational Fit
The candidate's experience as an Assistant Professor suggests strong communication and presentation skills, which are valuable for explaining complex data insights. Guiding students in projects indicates mentorship and collaborative abilities. The project descriptions show an ability to work independently and deliver end-to-end data analysis solutions.