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Data Scientist with 1+ years in Statistical Modeling & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research-oriented data enthusiast with a strong foundation in statistical modeling, quantitative analysis, and empirical research. Proficient in Python, R, and SQL, with hands-on experience analyzing healthcare and geospatial datasets.
Savitribai Phule Pune University
M.Sc. (Statistics) · Statistics
August 1, 2023 – June 30, 2025
Fergusson College
B.Sc. (Statistics) · Statistics
August 1, 2020 – June 30, 2023
Tech-GX
Data Science Intern
March 1, 2025 – October 1, 2025
India
Charutar Health Centre
Research Analyst Intern
January 1, 2024 – June 1, 2025
India
Fueling Future: A Statistical Analysis of Petrol Prices
January 1, 2023 – December 31, 2025
Performed EDA to analyze petrol price trends and identify key economic drivers. Built and evaluated linear and multivariate regression models, selecting the best-fit model through diagnostic testing. Applied time series analysis to model trend, seasonality, and volatility. Forecasted petrol prices using Holt-Winters Exponential Smoothing and AR/MA models, incorporating stationarity checks and residual diagnostics to ensure model validity and forecasting accuracy. Performed comprehensive model evaluation using RMSE, MAE, and MAPE to assess accuracy & ensure robustness.
Movie Data Scraping & Analysis
January 1, 2023 – December 31, 2025
Developed a web scraping pipeline to extract movie listing data from BookMyShow for a major city, collecting key attributes including movie title, language, format (2D/3D/IMAX), ratings, and timestamps. Automated data extraction using Python libraries such as BeautifulSoup and Requests. Designed and implemented a structured MySQL database to store and manage scraped data efficiently. Performed data cleaning and preprocessing to ensure accuracy and consistency. Enabled further analysis of movie trends, language preferences, and format popularity, and built a scalable framework that can be extended for real-time data collection or multiple cities.
Heart Disease Prediction
January 1, 2023 – December 31, 2025
Performed comprehensive analysis of the Heart Disease dataset using bootstrap resampling and predictive modeling techniques to estimate disease risk, improve model stability, and generate robust,data-driven insights. Emphasized the role of resampling methods and basic modeling techniques in improving health data analysis. Built a Shiny Dashboard to predict disease risk using age and biological factors aiding faster decision making.
Introduction to Machine Learning & AI IBM
IBM
June 15, 2026 – Present
AWS Cloud Practitioner Essentials
AWS
June 15, 2026 – Present
INSPIRE Scholarship by Govt. of India
Govt. of India
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a diverse application of data science skills across different domains like economics, healthcare, and entertainment. This breadth of interest and application suggests adaptability and a willingness to explore various problem spaces, which can be a positive indicator for cultural fit in a dynamic environment. The target role 'Data Scientist' aligns well with their academic background and practical experience in statistical modeling and data analysis. The certifications in Machine Learning/AI and AWS Cloud Practitioner Essentials indicate a proactive approach to learning and staying current with industry trends.
Soft Skills & Operational Fit
The candidate demonstrates a research-oriented mindset and a structured approach to problem-solving, evident in their project descriptions and internship experiences. Their ability to conduct literature reviews, design questionnaires, and maintain reproducible scripts suggests good organizational and methodological skills. The focus on improving model accuracy and efficiency indicates a results-driven attitude. However, without direct assessment data on collaboration or stress handling, a full operational fit assessment is limited.