Data Science with less than a year in ML-based systems, business insights, and data analytics. Skill
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.