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Data Science with 1+ years in ML and AI development
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Assessing your cultural and operational fit
Results-driven Data Scientist with 1+ year of hands-on experience building and deploying end-to-end ML and GenAI applications. Proficient in Python, LangChain, NLP, and predictive modeling with a track record of delivering production-ready solutions via Streamlit Cloud. Experienced in designing multi-agent AI pipelines, tool-using agents, and LLM-powered applications. Seeking a junior Data Scientist or ML Engineer role where I can apply practical expertise to real-world problems.
Brainware Group of Institutions
B.Tech · Electronics & Communication Engineering
N/A – June 30, 2022
Innomatics Research Labs
Data Science Intern
November 1, 2025 – April 1, 2026
India
ARCAP REIT
Data Scientist Trainee
July 1, 2025 – November 1, 2025
India
YBI Foundation
Data Science Intern
April 1, 2024 – September 1, 2024
India
Multi-Agent AI Research System
February 1, 2026 – February 1, 2026
- Architected a 4-stage autonomous research pipeline using LangChain agents - Search Agent (Tavily web search), Reader Agent (URL scraping), Writer Chain (structured report generation), and Critic Chain (automated quality scoring) — each powered by Mistral Small LLM. - Implemented tool-using agents via LangChain's @tool decorator, enabling real-time web search retrieving top 5 results with titles, URLs, and snippets, and dynamic URL scraping with BeautifulSoup4 extracting up to 3,000 characters of clean content. - Engineered a 4-component prompt pipeline using ChatPromptTemplate | LLM | StrOutputParser, producing structured reports (Introduction -> Key Findings -> Conclusion -> Sources) with automated critique scored X/10 with Strengths and Improvement Areas. Built and deployed a production-ready Streamlit UI with live pipeline step tracking, real-time status indicators, and one-click Markdown report download; secured API keys via environment variables.
Production-Ready Domain-Specific GenAI Chatbot
February 1, 2026 – February 1, 2026
Designed and deployed a domain-specific chatbot using Google Gemini API with contextual multi-turn conversation memory, enabling coherent extended user interactions. - Implemented modular backend architecture (API handling, prompt management, UI) and optimized token usage, reducing response latency and improving output reliability. Deployed publicly on Streamlit Cloud with secure API key management via environment variables and robust logging/exception handling — production-ready from day one.
Real-Time Sentiment Analysis - Flipkart Reviews
January 1, 2026 – January 1, 2026
Built an end-to-end NLP pipeline (text cleaning -> TF-IDF vectorization -> classification) to classify product reviews as positive/negative with high F1-score performance. - Evaluated multiple classifiers; selected Logistic Regression after hyperparameter tuning — achieving best balance of precision and recall on unseen test data. - Deployed interactive Streamlit app for real-time sentiment prediction, accessible to non-technical users.
Customer Churn Prediction
December 1, 2025 – December 1, 2025
Built a Random Forest churn prediction model achieving 84% cross-validation accuracy and 77% test accuracy through feature engineering and model optimization. - Conducted feature importance analysis to identify top churn drivers, providing actionable business retention insights. - Deployed an interactive Streamlit application enabling real-time churn prediction from customer input data.
Machine Learning using Python
Webskitters Technology Solutions Pvt. Ltd.
June 1, 2026 – Present
Python for Data Science
Infosys Springboard
June 1, 2026 – Present
Programming with Python
Internshala
June 1, 2026 – Present
SQL
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in applying data science and GenAI to real-world problems, aligning well with an innovative and problem-solving culture. The diversity of projects, from multi-agent AI to sentiment analysis and churn prediction, shows adaptability and a broad skill set. The internships, though short-term, indicate a willingness to gain practical experience in different domains. The target role of 'Data Science' aligns perfectly with the candidate's experience and project focus.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to deliver production-ready solutions and communicate insights to non-technical stakeholders, indicating good operational fit. The focus on end-to-end project ownership suggests a proactive and results-driven attitude. However, without specific psychometric test results, a deeper assessment of soft skills like stress handling and team collaboration is not possible.