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Data 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
Assistant Professor – Computer Science
December 1, 2023 – December 1, 2025
India
E-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 ProjectCustomer 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 ProjectCultural Fit Analysis
The candidate's background as an Assistant Professor in Computer Science, coupled with personal data analysis projects, indicates a strong academic foundation and a proactive approach to applying theoretical knowledge. The projects demonstrate an interest in business-oriented data problems (e-commerce, customer churn), which aligns well with typical data analyst roles. The breadth of skills (SQL, Python, Power BI, Tableau, statistical analysis) suggests adaptability and a willingness to learn diverse tools. However, the experience is primarily academic and personal projects, lacking direct industry experience in a corporate data team setting, which might require some adjustment to a fast-paced business environment.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project descriptions and teaching experience. The role as an Assistant Professor suggests an ability to explain complex topics and guide others, which is beneficial for team collaboration and knowledge sharing. The project work indicates a problem-solving mindset and attention to detail. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.