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Data Analyst with 1+ years in Python & SQL.
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Highly motivated Data Analyst with hands-on experience in Python and SQL. My technical background includes executing three rigorous data projects where I applied statistical methods to solve real-world business problems. In my flagship project on E-commerce Churn, I processed over 100,000 transaction records to pinpoint the correlation between logistics performance and customer loyalty. I bring a detail-oriented approach to exploratory data analysis (EDA) and reporting, ready to contribute immediate value to data-driven teams.
Ballarpur institute of Technology
Bachelor of Technology
August 1, 2018 – June 30, 2022
Ballarpur institute of Technology
Diploma
August 1, 2016 – June 30, 2019
NareshIT
Data Analytics Trainee
May 1, 2025 – Present
Hyderābād, Telangana, India
Customer Churn Analysis for E-Commerce
May 1, 2025 – June 1, 2026
Analyzed 100k+ order records from a Brazilian E-Commerce platform (Olist) to identify key drivers of customer attrition. Engineered a comprehensive Analytics Base Table (ABT) using complex SQL Window Functions to calculate Recency, Frequency, and Monetary (RFM) metrics. Conducted deep-dive exploratory analysis to pinpoint the correlation between delivery delays and customer churn, recommending logistics improvements to stakeholders.
Revenue Optimization for Transport Services
May 1, 2025 – June 1, 2026
Analyzed payment behaviors of 6 million+ taxi trips to investigate revenue drivers. Conducted A/B Testing and T-tests to validate the hypothesis that credit card payments lead to significantly higher fare amounts than cash. Delivered data-backed recommendations for driver incentives, projecting a potential revenue increase of 15%.
Insurance Cross-Selling Strategy Analysis
May 1, 2025 – June 1, 2026
Performed customer segmentation on health insurance data to identify cross-selling opportunities for vehicle insurance. Visualized demographic trends using Seaborn to pinpoint high-conversion segments (e.g., Age 30-45). Recommended a targeted marketing strategy expected to reduce customer acquisition costs.
Certificate in Data Analytics
NareshIT, Hyderabad
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse range of analytical applications across e-commerce, transport, and insurance sectors, indicating adaptability and a broad interest in data-driven problem-solving. The 'Data Analytics Trainee' role and collaboration on capstone projects suggest a willingness to learn and work in teams. However, the experience level is entry-level, which might require significant mentorship to integrate into a senior-level team culture.
Soft Skills & Operational Fit
The candidate highlights problem-solving, critical thinking, and communication as soft skills. The project descriptions indicate an ability to analyze complex datasets and derive actionable insights, which aligns with the operational demands of a Data Analyst role. However, the experience is primarily academic and trainee-level, suggesting a need for further development in a professional operational context.