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Data Scientist with 1+ years in Data Analysis & Machine Learning
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Data Science professional with a Master's in Applied Statistics (Specialization in Data Science) from MIT ADT University, Pune. Skilled in data cleaning, preprocessing, EDA, statistical analysis, and machine learning. Proficient in Python, SQL, Excel, and Power BI with hands-on experience in developing predictive models and generating actionable insights. Seeking a challenging role in a fast-growing organization to apply analytical, problem-solving, and data-driven decision-making skills to support business objectives.
MIT ADT UNIVERSITY
Master'S in Applied Statistics (Data Science) · Applied Statistics (Data Science)
August 1, 2022 – June 30, 2024
Shivaji University Kolhapur
B.sc (Statistics) · Statistics
August 1, 2018 – June 30, 2021
Balwant college vita
HSC
N/A – May 31, 2018
Bluestock Fintech
Data Science Intern
March 1, 2026 – Present
Pune, Maharashtra, India
PSYLIQ
Data Analyst
May 1, 2025 – Present
Mumbai, Maharashtra, India
Netflix Movie Data Analysis Project
January 1, 2026 – June 1, 2026
Analyzed Netflix movies dataset to identify most frequent movie genres, with Drama emerging as the top genre. Determined the movie with the highest vote average, highlighting audience preferences and rating patterns. Identified the most AND Least popular movie along with its genre, based on popularity metrics. Performed year-wise trend analysis to discover which year had the most movies released, providing insights on production peaks.
Study Detection Of Insurance Fraud Claim's
January 1, 2025 – December 1, 2025
Executed data cleaning, preprocessing, and transformation using Python to prepare high-quality datasets for analysis. Utilized data visualization techniques to identify trends, patterns, and actionable insights. Developed and engineered new features to improve machine learning model accuracy and overall performance. Worked with Python, MS Excel, and Power BI for data analysis, reporting, and insight generation.
Study on Australian Fatal Accidents Data
January 1, 2024 – December 1, 2024
Led comprehensive data preprocessing and performed detailed Exploratory Data Analysis (EDA) to extract actionable insights from the dataset. Prepared and presented a structured project report to a jury, clearly communicating analytical findings and their potential organizational impact. Conducted an in-depth study of accident cases (2021) using statistical and exploratory techniques to identify key trends and patterns. Utilized Python and MS Excel for data cleaning, analysis, visualization, and insight generation.
Data Visualization with Power BI
Great Learning
May 15, 2025 – Present
Python and ML Fundamentals
Perfect Plan B Elearning
September 29, 2024 – Present
SQL For Data Science
Great Learning
February 5, 2024 – Present
Data Science and AI career Bootcamp
Datamites
September 15, 2023 – Present
PYTHON And Tableau
SKILL-SLASH
August 30, 2023 – Present
Hand On workshop on Algorithms Development In data Science
MIT ADT University
August 5, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like movie data, insurance fraud, and accident analysis, showing adaptability and a broad interest in applying data science techniques. The certifications in various tools and concepts (Python, Tableau, Power BI, SQL, ML Fundamentals) demonstrate a proactive approach to learning and skill development. The combination of academic rigor and practical application through internships suggests a candidate who is eager to contribute and grow within a data-focused team.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Problem Solving, Time Management, Presentation, and Group Discussion. These are crucial for a Data Scientist role, where analytical thinking, project management, and collaboration are essential. The project descriptions indicate an ability to structure work and present findings, which suggests a good operational fit for data-driven environments.