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Data Analyst with less than a year in Data Science & Machine Learning.
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Assessing your cultural and operational fit
Detail-oriented Computer Science graduate specializing in Data Science, with hands-on experience solving business problems and building analytical dashboards using SQL, Power BI, and MS Excel. Proficient in data cleaning, EDA, DAX, and KPI reporting across datasets ranging from 8,800 to 100,000+ records, with a focus on delivering insights that support data-driven decision making.
Teerthanker Mahaveer University
B.Tech in Computer Science Engineering · Data Science
January 1, 2022 – January 1, 2026
TCS ION
Machine Learning Intern
December 1, 2024 – March 1, 2025
India
Netflix Content Analysis
June 1, 2026 – Present
Cleaned 8,800+ Netflix titles in SQL/PostgreSQL across 6 columns and solved 15 business problems using CTEs, Window Functions, and Pattern Matching to surface genre, ratings, and country insights. Identified content concentration patterns across regions and ratings, enabling data-driven content strategy recommendations through structured SQL analysis.
View ProjectAmazon Sales Analysis Dashboard
June 1, 2026 – Present
Built a Power BI dashboard on 100,000+ sales records using Power Query and DAX KPIs, revealing $92M revenue and $918 AOV across 6 categories and 5 countries. Identified Electronics as the top category and US driving 70% of orders, enabling targeted inventory prioritization and regional sales strategy decisions.
View ProjectZomato Restaurant Analysis Dashboard
June 1, 2026 – Present
Analyzed 50,000+ restaurant records across 17 attributes using Power Query and DAX with dynamic filters for cuisine, location, and ordering preferences. Performed trend analysis on ratings and cuisine preferences, delivering insights to support restaurant performance benchmarking and operational decision making.
View ProjectE-Commerce Sales Analysis Dashboard
June 1, 2026 – Present
Built an Excel dashboard using Pivot Tables, Slicers, and VBA Macros, automating KPI reporting with Target Hit % and Away From Target % metrics across 8 cities. Revealed a 55.2% target achievement rate across 38,945 total sales, highlighting underperforming city segments for focused sales performance tracking.
View ProjectStatistics Using R and Python
TCS ION
June 1, 2026 – Present
Certificate of Internship – Automated Detection and Recognition of Grammatical Errors
TCS ION
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects showcase a diverse application of data analysis skills across different domains (Netflix content, e-commerce, restaurant analysis). The collaboration with TCS ION for their specialization and certifications indicates a proactive approach to learning and professional development. The breadth of tools and technologies used (SQL, Power BI, Excel, Python, MySQL, PostgreSQL) suggests adaptability and a willingness to explore various solutions, which aligns well with a dynamic work environment. The focus on delivering actionable insights in projects also indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and attention to detail, which are crucial for a Data Analyst role. The project descriptions indicate an ability to translate business problems into data solutions and present findings clearly. The internship experience shows an aptitude for iterative experimentation and validation, which is valuable in an operational context.