Bhavya
Data Scientist
bhavyakumar.2511@gmail.com | www.linkedin.com/in/bhavya-ds | github.com/bhavya25-ds | candidates.intervues.club/u/bhavya
SUMMARY
Data Science student and Creative Teams Lead experienced in converting data into predictive models and actionable analytical insights. Background spans statistical analysis, exploratory data analysis, machine learning model development, and creative strategy execution. Proven track record in data-driven project execution, visualization, and leading cross-functional teams.
EXPERIENCE
Brand & Creative Strategy Lead
InternQuora
Sep 2026 – Present
- Established the visual identity, brand voice, and creative direction for a student-led career initiative from the ground up.
- Designed and produced social media graphics and campaign content for company and student outreach across platforms.
- Directed cross-platform promotional strategy to streamline communication with external industry partners.
GenAI-Powered Data Analytics (Tata iQ) Virtual Intern
Tata Group / Forage
Aug 2026 – Aug 2026
- Conceptualized an AI-driven credit risk model and collections strategy utilizing generative AI for exploratory data analysis and predictive risk modeling.
- Engineered agentic automation frameworks to optimize credit risk evaluation.
GenAI-Powered Data Analytics (Tata iQ) Virtual Intern
Tata Group / Forage
Aug 2026 – Aug 2026
- Conceptualized an AI-driven credit risk model and collections strategy utilizing generative AI for exploratory data analysis and predictive risk modeling.
- Engineered agentic automation frameworks to optimize credit risk evaluation.
Data Science Intern
Zappify
Jun 2026 – Jul 2026
- Built end-to-end data science workflows, executing data preprocessing, exploratory data analysis, and visualization using Python, Pandas, and Seaborn.
- Implemented and evaluated classification machine learning models using Scikit-learn, assessing performance via accuracy, precision, recall, and F1-score.
Developer
HackQube
May 2026 – Present
- Executed software development tasks for organizational technical initiatives.
Developer
HackQube
May 2026 – Present
- Executed software development tasks for organizational technical initiatives.
Creative Head
The Empirical Society
Nov 2025 – Present
- Led a team of 10 designers for college technical events, increasing social media engagement by approximately 35%.
- Coordinated end-to-end design workflows across event, marketing, and editorial teams to align brand communication.
Creative Head
The Empirical Society
Sep 2025 – Nov 2025
- Led a team of 10 designers for college technical events, increasing social media engagement by approximately 35%.
- Coordinated end-to-end design workflows across event, marketing, and editorial teams to align brand communication.
Design Team Member
Wordsmith
Sep 2025 – Present
- Designed graphic materials supporting team publishing efforts.
Content Team Member
CodeGeeks
Sep 2025 – Aug 2026
- Authored technical content and instructional materials for society communications.
EDUCATION
Guru Gobind Singh Indraprastha University · B.Tech, Bachelor of Technology - BTech · 2024 – 2028
Bal Bharati Public School, Noida
SKILLS
Languages and Frameworks: C, C++, Java, Python, asyncio, gTTS, Matplotlib, NumPy, Pandas, Playwright, PyAutoGUI, Pydantic, PyWhatKit, Scikit-learn, Seaborn, Streamlit
Databases: MySQL
Tools: Cross-Validation, Git, GitHub, Google Gemini Flash, GridSearchCV, Groq API, Jupyter Notebook, LLaMA 3.3 70B, MS Excel, NewsAPI, OOP, Tableau, VS Code
PROJECTS
Autonomous Lead Enrichment Agent
Built an autonomous B2B lead-enrichment agent that crawls company domains using a headless browser and extracts structured firmographic data. Automated web domain crawling via Playwright with asynchronous concurrency using asyncio. Extracted and structured firmographic data using Google Gemini Flash and validated data schemas via Pydantic.
Python, Playwright, Google Gemini Flash, Pydantic, asyncio
The Committee Will Look Into It
Developed a multi-thread data journalism investigation on Indian institutional accountability using custom datasets, NCRB records, and RTI documents. Engineered data processing pipelines in Python and Pandas to analyze official RTI documents and NCRB data. Generated custom statistical visualizations using Matplotlib and Seaborn to identify systemic issues.
Python, Pandas, Matplotlib, Numpy, Seaborn, NCRB, RTI data
Message Spam Filtering
Built and deployed an end-to-end NLP classifier on a dataset of 5,572 SMS messages. Implemented TF-IDF vectorization and trained NLP classification models using Scikit-learn. Transitioned model architecture from MultinomialNB to ComplementNB to resolve an 87/13 class imbalance, boosting spam recall from 72% to 89%. Deployed the finalized model as an interactive web application using Streamlit.
Python, Scikit-learn, TF-IDF, Streamlit
Deployed Web App Link
Additional projects: Customer Churn Prediction, Barbie – Voice-Activated AI Assistant
AWARDS
Data Visualisation: Empowering Business with Effective Insights