Vanshika Goyal on Tal
Headline
Data Analyst | Python · SQL · Tableau · Power BI | ML & NLP | Building data-driven systems from raw data to decision-ready insight
About
I turn messy, real-world data into something decision-ready - and I've been doing that since before I had a job title for it. As a CS graduate from University of Delhi (CGPA: 8.742), my project work has always started with raw, unstructured data and ended with a model, a dashboard, or a framework someone could actually use: → Scraped and analysed 5,000+ cryptocurrency assets from CoinMarketCap to identify market cap dominance and price volatility patterns - built reporting dashboards with 5+ visualizations in Python and Tableau → Applied Naive Bayes, Decision Tree, and KNN classification on 1,000+ real eBay electronics records to predict seller performance, hitting 85% accuracy and surfacing KPI optimisation insights → Co-authored NLP research at SSCBS evaluating transformer fine-tuning, embeddings, and lexicon-based techniques on 10,000+ multilingual social media records - synthesised 25+ scholarly sources into actionable recommendations on AI system design Tech stack: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) · SQL · Tableau · Power BI · Excel · Google Sheets I also co-organised hackCBS 7.0 - one of India's largest student-run hackathons, 4,500+ participants - which taught me how to operate fast, coordinate across stakeholders, and ship under pressure. Currently seeking entry-level roles in Data Analysis, Business Intelligence, or AI/ML where I can work close to the data, build things that get used, and grow in a team that takes technical work seriously. 📩 vanshikagoyal2304@gmail.com
Location
Greater Delhi Area
Work experience
Freelance at Self-Employed, Jul 2026 - Present · 2 mos, Remote
Member at GDSC, Sep 2023 - Present · 3 yrs
Research Intern at SSCBS, Jun 2025 - Aug 2025 · 3 mos, New Delhi, Delhi, India, ● Synthesized 25+ scholarly sources and evaluated 5 NLP techniques (transformer fine-tuning, embeddings, lexicon-based, substitution, clustering) for emoji-rich sentiment analysis across multilingual datasets ● Cleaned and pre-processed large-scale datasets containing 10,000+ tweets from Twitter and Reddit, performed statistical analysis to identify model performance gaps and propose context-aware framework recommendations ● Communicated findings through structured reports and 5+ data visualizations, contributing to actionable research conclusions on multilingual AI system design
Co Organizer at hackCBS - India's Largest Student-run Hackathon, Aug 2024 - May 2025 · 10 mos, Delhi, India
Core commitee at Kronos- The Tech Society of SSCBS, Jun 2024 - Jun 2025 · 1 yr 1 mo
Organising commitee at Kronos- The Tech Society of SSCBS, Sep 2023 - Jun 2024 · 10 mos
Education
Bachelor of Science - BS, Computer Science, Shaheed sukhdev college of business studies
Science, sachdeva public school
