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Data with less than a year in SQL, Python & Power BI for data analysis and insights.
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Assessing your cultural and operational fit
Analytical M. Tech. graduate seeking a Data role. Skilled in SQL, Python, and Power BI with experience analyzing large datasets to uncover trends, measure KPIs, and deliver actionable insights. Passionate about using data to solve business problems and drive strategic decisions.
NIT Warangal
M.Tech · Materials Technology
August 1, 2023 – June 30, 2025
GITA Bhubaneswar
B.Tech · Mechanical Engineering
August 1, 2016 – June 30, 2020
E-commerce Sales Analysis Dashboard
June 1, 2026 – Present
Utilized SQL to explore and extract business insights, writing complex queries (joins, CTEs, aggregations) to analyze sales trends. Developed interactive Power BI dashboards translating business requirements into executive-level reports with filters and KPI tracking, customer behavior, YTD/MTD performance across regions and product categories. Performed data validation and testing on 149K+ records, ensuring data accuracy, resolving quality issues, and maintaining reliable analytical outputs. Analyzed revenue trends and generated actionable insights, identifying post-2023 decline, market shifts, and recommending strategies for customer targeting and product optimization.
View ProjectMarketing Performance Analytics Dashboard
June 1, 2026 – Present
Built an interactive Power BI dashboard tracking marketing performance across 5 states with 200,000+ rows of campaign data. Used Power Query to clean, transform, and model the dataset for efficient analysis. Created calculated measures for Click Through Rate, Revenue (Acquisition Cost × Return on Investment), and Cost Per Click. Designed clickable year filter buttons with dashboard actions allowing users to view performance data by selecting specific cities.
View ProjectRetail User Behavior & Funnel Analytics
June 1, 2026 – Present
Analyzed 100K+ retail user behavior records to evaluate customer conversion journeys and funnel performance. Built funnel analytics pipelines identifying 50.9% drop-off from product view to add-to-cart and 52.4% drop-off before purchase. Performed channel-wise conversion analysis and found App users achieved the highest conversion rate (26.74%). Evaluated traffic acquisition sources, identifying Direct traffic as the top-performing lead generation channel (25.54%). Conducted demographic and device-level analysis, revealing stronger conversions on Android (24.56%) and iOS (23.94%) platforms. Executed A/B testing with z-test statistical validation, confirming significantly higher conversion rates for Mobile/App users compared to Web users and validated the data by SQL.
View ProjectGenAI-Powered Data Analytics Job Simulation
Unknown
June 1, 2026 – Present
LeetCode SQL50
LeetCode
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data analytics, aligning well with a 'Data' role. The diversity of projects (e-commerce, marketing, retail user behavior) shows a broad application of data skills. The pursuit of a Master's degree and certifications like LeetCode SQL50 indicates a proactive learning attitude and dedication to skill development. The lack of professional experience means cultural fit in a corporate environment is yet to be proven, but the personal projects suggest initiative and a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a structured approach to problem-solving and a focus on delivering actionable insights. The ability to translate business requirements into executive-level reports suggests good presentation and communication skills. The academic background, including GATE qualification, points to strong analytical aptitude. However, without direct work experience, the operational fit regarding team collaboration, stress handling, and project management in a professional setting is not directly observable.