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Data Analyst with 1+ years in SQL, Power BI & Python
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Data Analyst with 1.1 years of experience in leveraging data to drive business decisions. Proficient in SQL, Python, Power BI, and Excel for data analysis, visualization, and reporting. Skilled in conducting exploratory data analysis, developing interactive dashboards, and identifying key trends to deliver actionable insights. Eager to contribute to data-driven strategies and improve operational efficiency.
D.Y.Patil ACS College, Pimpri
MSC(C.S) · Computer Science
August 1, 2022 – June 30, 2024
S.N.B.P ACS College, Pimpri
BSC(C.S) · Computer Science
August 1, 2019 – June 30, 2022
Autocal Systems
Data Analyst
May 1, 2025 – Present
India
Customer Behavior Analysis Dashboard
February 1, 2026 – March 1, 2026
Analyzed 3.9K+ customer records using SQL and Python to uncover purchasing patterns and revenue drivers. Performed customer segmentation (RFM analysis) to identify high-value, loyal, and at-risk customers. Built key business KPIs including Customer Lifetime Value (CLV), retention rate, and average order value (AOV). Conducted cohort analysis to evaluate customer retention trends over time. Developed an interactive Power BI dashboard with dynamic filters and DAX measures for business insights. Identified that top customer segments contributed a major share of revenue, enabling targeted marketing strategies.
View ProjectOla Ride Data Analysis Dashboard
December 1, 2025 – January 1, 2026
Analyzed 1M+ ride records using SQL and Excel to evaluate booking trends, cancellations, and revenue patterns. Identified a 28% ride cancellation rate and performed root cause analysis based on time, location, and demand patterns. Conducted trend analysis to identify peak hours and high-demand zones impacting ride availability. Built key KPIs such as cancellation rate, ride success rate, and revenue per ride. Developed an interactive Power BI dashboard with DAX measures to monitor operational performance and customer experience. Provided actionable insights to reduce cancellations and improve service efficiency.
View ProjectSpotify Music Analysis Dashboard
October 1, 2025 – November 1, 2025
Analyzed 952 tracks and 489B+ total streams using Excel to identify streaming trends, artist performance, and top-performing songs. Developed an interactive Power BI dashboard with 10+ KPIs using DAX measures, enabling analysis of daily streams, monthly trends, and track-level performance. Performed trend analysis to identify peak streaming periods and high-performing artists, supporting data-driven insights. Identified "Blinding Lights” (3.7B+ streams) as the top-performing track and analyzed key attributes such as Energy (80%), Danceability (50%), and Speechiness (7%). Delivered actionable insights on content performance and audience preferences to understand music consumption patterns.
View ProjectAWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
McKinsey Forward Program Alumni
McKinsey & Company
January 1, 2025 – Present
Excel for Data Analysis Certification
Unknown
January 1, 2025 – Present
Data Analyst Certification
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse range of analytical applications, from customer behavior to ride-sharing and music streaming, indicating adaptability and a broad interest in data challenges. The combination of academic achievement, professional experience, and certifications suggests a proactive and continuous learning mindset, which aligns well with a growth-oriented culture. The target role of Data Analyst is a strong fit for the candidate's demonstrated skills and experience.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, communication, and stakeholder management as soft skills. The ability to deliver actionable insights and improve reporting efficiency suggests a results-oriented and operationally aware individual. The McKinsey Forward Program alumni status also indicates a focus on professional development and business acumen.