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Data Science with less than a year in ML pipelines & AI-powered applications
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Assessing your cultural and operational fit
Data Science and Machine Learning professional with internship experience building AI-powered applications, automation workflows, and ML pipelines. Skilled in Python, Scikit-learn, OpenAI API, Google Gemini API, and n8n with hands-on experience in data preprocessing, model training, deployment, and web scraping.
Liverpool John Moores University
Master of Science · Data Science
April 1, 2025 – March 1, 2026
International Institute of Information Technology (IIIT) Bengaluru
Post Graduate Diploma · Data Science
October 1, 2023 – December 1, 2024
G H Raisoni College of Engineering & Management, Pune
B.Tech · Electronics & Telecommunication Engineering
June 1, 2019 – June 1, 2023
NewtonAI
Data Scientist Intern
April 1, 2026 – Present
India
Maxgen Technology Pvt. Ltd.
Front-End Web Developer Intern
January 1, 2023 – July 1, 2023
Pune, Maharashtra, India
ML Automation Platform
June 24, 2026 – Present
Built an end-to-end ML pipeline with a Streamlit UI supporting dataset upload, target column selection, scaler (Standard/MinMax), and 4 classifiers—Logistic Regression, SVC, Random Forest, and XGBoost—reducing model experimentation time by 60%. Implemented a modular preprocessing engine handling mean/mode imputation, feature scaling, and OneHotEncoding for categorical variables, supporting mixed-type datasets automatically. Achieved up to 92% classification accuracy on benchmark datasets using XGBoost; models persisted via pickle for reusable, production-ready deployment without retraining.
View ProjectAI-Powered Infographic Generator
June 24, 2026 – Present
Architected a 5-node n8n automation workflow: Form Trigger → Apify YouTube Transcript Scraper → Google Gemini Imagen 4.0 → Cloudinary CDN upload → auto-redirect to hosted infographic URL. Applied structured prompt engineering to extract core thesis, 4-6 mental models, and conclusion from raw video transcripts, generating publication-quality infographics automatically. Delivered a zero-code, form-driven interface where users paste a YouTube link and receive a hosted infographic in under 3 minutes, cutting content production time by 70%.
View ProjectAI Chatbot Application
June 24, 2026 – Present
Developed a multi-turn conversational AI chatbot using the OpenAI Chat Completions API with a Streamlit interface, supporting unlimited conversation history via st.session_state management. Implemented full conversation context injection on every API call—preserving prior turns alongside a system prompt—enabling coherent, long-form dialogues without memory loss. Deployed with secure API key configuration management and a production-ready Streamlit layout, suitable for local and cloud-hosted environments.
View ProjectPost Graduate Diploma in Data Science
IIIT Bengaluru
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from ML automation to AI-powered content generation and chatbots, indicates a proactive and innovative mindset. Their pursuit of multiple data science degrees and certifications, alongside practical internship experience, shows a strong commitment to continuous learning and professional development. The projects are highly relevant to a Data Science role, demonstrating a clear alignment with the target position. The breadth of skills, including web scraping, NLP, and various ML algorithms, suggests adaptability and a willingness to explore different technical areas. The personal projects highlight initiative and self-driven learning, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in developing automation workflows and ML platforms. Their ability to work in a team (as noted in the Front-End Web Developer Intern role) suggests good collaboration potential. The detailed project descriptions indicate a structured approach to development and a focus on delivering tangible results, which aligns well with operational effectiveness. However, without specific psychometric or English test results, a comprehensive assessment of communication clarity, logical reasoning, stress handling, and team collaboration is limited.