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Data Science with less than a year in Python, R, and statistical 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
Motivated and detail-oriented M.Sc. Statistics student with strong analytical and problem-solving abilities. Skilled in data analysis, statistical techniques, and handling datasets using Python, R, Excel, SPSS, and Minitab. Passionate about transforming data into meaningful insights and contributing to data-driven projects.
Shivaji University, Kolhapur
M.Sc. Statistics · Statistics
August 1, 2024 – June 30, 2026
Y. C. College, Halkarni
B.Sc. Statistics · Statistics
August 1, 2021 – June 30, 2024
G. G. V. P. Jr. College, Halkarni
HSC
June 1, 2020 – May 31, 2021
Halkarni Highschool, Halkarni
SSC
June 1, 2018 – May 31, 2019
District Statistical Office, Kolhapur
Internship Experience
November 1, 2025 – Present
Kolhapur, Maharashtra, India
Statistical Exploration of Socio-economic Inequalities in Western Maharashtra using Census Data 2011
January 1, 2026 – Present
• Analyzed 10,000+ census data points to identify socio-economic patterns. • Applied statistical and machine learning techniques for identifying regional disparities. • Generated meaningful insights from large datasets.
Assessment of Domestic Water Supply Situation in Chandgad Tehsil
January 1, 2026 – Present
• Collected and analyzed primary survey data related to water supply and water quality in rural villages. • Performed statistical analysis using R and MS Excel, including hypothesis testing and regression analysis. • Identified patterns in water consumption and government water supply schemes.
Predictive Analysis: Classification and Regression
SWAYAM Course
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project work show a strong inclination towards data analysis and statistical problem-solving, which aligns well with a data-driven culture. The internship at a District Statistical Office suggests an interest in applying statistical knowledge to practical, real-world problems. The academic projects, while valuable, are primarily individual or small-group academic efforts. More diverse project types or collaborative experiences would further strengthen cultural fit for a dynamic team environment.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and quick learning abilities, which are crucial for a Data Science role. The internship experience indicates an ability to work with real-world datasets and contribute to data processing tasks. However, the resume lacks explicit examples of teamwork or leadership in a professional setting, which are important for operational fit in a team-based environment.