About
Data Science student at Sai University with experience in startup co-founding, digital marketing, SEO, and content development. Also works on machine learning and analytics projects using Python, SQL, and BI tools.
Experience
-
Co-FounderMastervanceJan 2025 – Apr 2026
Co-founded an EdTech startup focused on practical, industry-oriented learning for core engineering students; led market research, customer validation, product development, GTM strategy, and business development. Conducted customer discovery, competitor analysis, product strategy, community building, partnerships, and digital marketing. Pitched at IIT Madras E-Summit, IIT Tirupati E-Summit, BITS Pilani Launchpad, and IIITDM Kancheepuram, achieving Top 100 in Samsung Solve for Tomorrow Season 4 from 20,000+ applications and 1st Prize at a Sai University Startup Pitching Competition.
-
Digital MarketerFerociteJun 2023 – Aug 2023
Executed digital marketing campaigns across Google Ads, Meta Ads, SEO, social media, and content marketing to increase online reach and audience engagement. Performed campaign performance analysis, keyword research, audience targeting, ad optimization, and social media management to improve digital marketing performance.
-
SEO & Content DeveloperGeeks of GurukulMar 2023 – May 2023
Improved search page visibility and organic reach through keyword research, on-page SEO, off-page SEO, SERP analysis, and content optimization. Used Google Search Console, Google Analytics, Google Keyword Planner, Google Trends, and WordPress for search performance analysis, keyword research, content optimization, and website management.
Education
-
B.TechData Science · Aug 2024 – May 2028
-
DiplomaArtificial Intelligence and Machine Learning · Jun 2021 – May 2024
Skills
Tools / apps / platforms
Projects
-
RFM-Based Customer Segmentation & AnalyticsPython, SQL, Scikit-learn, Power BI
Built an end-to-end customer segmentation and analytics system using SQL-based RFM analysis and K-Means clustering, segmenting 4,338 customers into 5 business personas. Performed data cleaning, EDA, feature engineering, standardization, clustering evaluation, and developed a Power BI dashboard for customer and revenue analysis.
-
CreatorLens - YouTube Engagement PredictionPython, Pandas, NumPy, Scikit-learn, TF-IDF
Built an end-to-end machine learning application to predict relative YouTube video performance using channel information, video metadata, text features, topics, and upload timing. Engineered TF-IDF text and structured features, evaluated multiple regression models using a chronological train-validation-test pipeline, and deployed the system with Streamlit and YouTube Data API.
🏆 Achievements & awards
-
Finalist - Startup BootCamp, E-Cell IIT Madras · 2026
-
1st Prize - Startup Pitching Competition, Sai University · 2026
-
Top 100 - Samsung Solve for Tomorrow Season 4 (SSFT 2025) · 2025
-
Best Intern Award - Scontinent Technologies Pvt. Ltd. · 2024