Data Analyst with less than a year in Data Science & Business Intelligence
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Analytical and detail-oriented Data Analyst with 2.5+ years of experience transforming complex data into actionable insights that drive business decisions. Skilled in SQL, Python, Excel, Power BI, and Tableau, with hands-on expertise in statistical analysis, data visualization, and data mining. Proven ability to collaborate with cross-functional teams, identify trends, optimize processes, and improve performance metrics. Passionate about using data to solve real-world problems and enhance operational efficiency.
Savitribai Phule Pune University
Master of Computer Science · Computer Science
August 1, 2020 – June 30, 2022
Socommerz
Data Analyst
July 1, 2025 – Present
Gurgaon, Haryana, India
Nielsen
Junior Data Analyst
June 1, 2023 – July 1, 2025
Mumbai, Maharashtra, India
TV & OTT Viewership Analysis - Sports Events (IPL, FIFA, Olympics)
June 19, 2026 – Present
Analyzed TV and OTT sports viewership data for major tournaments such as IPL, FIFA, and the Olympics to measure audience engagement, platform performance, and advertising impact. Conducted integrated analysis across broadcast and digital platforms using SQL, Power BI, and Excel. Combined minute-level audience data with match metadata to identify spikes during key moments such as goals, wickets, and match-winning plays. Developed interactive Power BI dashboards highlighting platform trends, demographic splits, reach, and engagement patterns. Calculated and validated critical KPIs including TVR, Reach %, Average Minute Audience (AMA), Time Spent, and Market Share using SQL and DAX. Delivered insights to support decision-making for broadcasters, advertisers, and sponsorship teams.
Music Recommendation System (Spotify)
June 19, 2026 – Present
Designed a recommendation system to predict user preferences by learning latent user-song relationships through matrix factorization and improving personalization with content-based similarity. Built a content-based filtering model using song metadata such as genre, artist, tempo, and energy, applying cosine similarity for ranking recommendations. Reduced irrelevant recommendations by 20-30% through similarity threshold tuning and validation. Optimized SQL queries to enable faster retrieval of user-specific recommendation results.
Data Science
Excel-R
March 1, 2022 – Present
Data Analytics
Excel-R
February 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, including sports viewership analysis and music recommendation systems, indicates a broad interest in applying data analytics to different domains. Their experience in both a junior and a current Data Analyst role, coupled with certifications in Data Science and Data Analytics, shows a commitment to continuous learning and professional development. The stated soft skills align well with collaborative team environments.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills such as collaboration, problem-solving, and decision-making, as evidenced by project descriptions and work experience. Their ability to work with cross-functional teams and present findings to senior management indicates good operational fit for roles requiring stakeholder interaction. The resume highlights a proactive approach to improving efficiency and accuracy through automation.