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Data Science with less than a year in ML-based systems, business insights, and data analytics. Skill
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Assessing your cultural and operational fit
Highly motivated and results-oriented Data Science professional with 9 months of combined internship experience in business insights, data analytics, and machine learning. Proven ability to leverage complex datasets, develop predictive models, and deploy AI-driven solutions. Strong foundation in Python, SQL, and Power BI, with a keen interest in applying data-driven strategies to solve real-world problems.
Nilkamal School of Mathematics, Applied Statistics and Analytics, SVKM's NMIMS, Mumbai
Master of Science · Data Science
August 1, 2024 – June 30, 2026
K.C. College, HSNC University Mumbai
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2023
Eli Lilly LCCI
Business Insights & Analytics Intern
January 1, 2026 – Present
Bengaluru, Karnataka, India
Market Maven International
Research & Data Analyst Intern
May 1, 2025 – July 1, 2025
Mumbai, Maharashtra, India
ML-Based Disease Prediction System
July 1, 2025 – August 1, 2025
Built and deployed a multi-disease prediction system using Machine Learning and Streamlit, featuring three modules: Diabetes, Heart Disease, and Parkinson's detection; achieved 78%, 82%, and 88% accuracy using SVM and Logistic Regression respectively. Containerized the Streamlit app using Docker, enabling smooth local testing and scalable deployment via Docker Hub; integrated intuitive input forms for real-time predictions based on clinical parameters.
AI Semantic Book Recommender
June 1, 2025 – July 1, 2025
Built an emotion-aware recommendation engine processing ~6.8k book records using LangChain and OpenAI Ada embeddings, leveraging a Chroma vector database to retrieve the top 16 semantic matches. Engineered an NLP classification pipeline utilizing Hugging Face Transformers (distil-RoBERTa) for emotion scoring and BART-MNLI for zero-shot categorization with ~78% accuracy, deploying the containerized front-end via Docker and Gradio.
Churn Analysis & Prediction
December 1, 2024 – January 1, 2025
Developed end-to-end churn analysis pipeline for 4,000+ customers using SQL for ETL and null handling, built Power BI dashboards with custom DAX measures to visualize churn by demographics, region, and customer behavior. Trained a Random Forest classifier in Python achieving 82% accuracy and 78% precision, and integrated predictions into Power BI to enable dynamic monitoring of at-risk customers and drive retention strategies.
Multivariate time series on COVID data
Great Learning
January 1, 2025 – Present
Predicting tags for Stackoverflow using Machine Learning
Scalar
January 1, 2025 – Present
Statistics for Data Science
Simplilearn
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of applications within Data Science, from healthcare prediction to recommendation systems and churn analysis. Their internships, particularly at Eli Lilly LCCI, align well with data-driven decision-making in a business context. The involvement in extracurricular activities and a placement cell role indicates a proactive and collaborative personality, suggesting a good cultural fit for a team that values initiative and diverse perspectives. The pursuit of a Master's in Data Science further solidifies their commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates good organizational skills through their role as a Placement Cell Coordinator. Project descriptions indicate an ability to work on end-to-end solutions, from data processing to model deployment. The volunteer work and NCC experience suggest discipline and a team-oriented mindset. However, the current experience level is primarily academic and internship-based, which might require some operational guidance in a fast-paced production environment.