Data Analyst with 1+ years in Power BI, SQL & Python.
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Data Analyst skilled in SQL, Python, Power BI, and Tableau with experience building dashboards, KPI reporting solutions, and analytical models across customer churn, e-commerce, and social media domains. Analyzed datasets containing 20K+ orders and 80K+ customer interactions and delivered a 35+ hour Power BI training program under APSSDC.
Mahatma Gandhi University
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
APSSDC Skill Development Program
Power BI Technical Trainer
July 1, 2025 – Present
India
Social Media Engagement Analytics Dashboard
June 1, 2026 – Present
Developed a 4-page interactive Power BI dashboard analyzing engagement trends, follower growth, and platform performance across Instagram, LinkedIn, X, and ArtStation. Designed KPI frameworks and DAX measures to evaluate audience engagement and content effectiveness. Implemented drill-through navigation, dynamic slicers, and conditional formatting to improve reporting usability and analytical depth.
View ProjectCustomer Churn Analysis
June 1, 2026 – Present
Analyzed customer behavior data to identify factors associated with a 47% churn rate. Segmented customers by tenure, payment behavior, and subscription plans to uncover high-risk churn groups. Performed data cleaning, exploratory analysis, and statistical assessment to support retention-focused recommendations.
View ProjectE-Commerce Customer & Sales Analytics
June 1, 2026 – Present
Analyzed 20K+ orders and 80K+ customer interaction events using JOINS, CTEs, window functions, and RFM analysis. Evaluated customer purchasing behavior to identify high-value customers and churn-risk segments. Developed KPI reports tracking revenue trends, Customer Lifetime Value (CLV), Average Order Value (AOV), and customer retention metrics.
View ProjectHackerRank SQL Certificate
HackerRank
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Data Analyst & Business Analyst Program
Naresh I Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (e-commerce, social media, customer churn) and experience as a technical trainer suggest adaptability and a willingness to learn and apply skills across different domains. The focus on practical, real-world data analysis aligns well with a results-oriented culture. The breadth of tools (SQL, Python, Power BI, Tableau) indicates a versatile and tool-agnostic approach to problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills through project work, particularly in identifying churn factors and high-value customer segments. The experience as a Power BI Technical Trainer suggests good communication and mentoring abilities, which are valuable for stakeholder reporting and team collaboration. The project descriptions indicate an organized approach to data analysis and dashboard development.