Data Science with less than a year in Data Analysis & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M.Sc. Statistics graduate with strong skills in data analysis, statistical modeling, machine learning, and data visualization. Proficient in Python, SQL, Excel, Power BI, and exploratory data analysis with hands-on experience in data preprocessing, predictive modeling, and statistical testing. Completed research project on Student Performance Analysis using Logistic Regression, Random Forest, and XGBoost. Experienced in applying statistical and machine learning techniques to solve real-world problems and generate data-driven insights.
Vivekanand College, Kolhapur
Master of Science · Statistics
August 1, 2024 – June 30, 2026
Doodhasakhar Mahavidyalaya, Bidri
Bachelor of Science · Statistics
August 1, 2021 – June 30, 2024
Kisanrao More High School & JR College, Sarawade
HSC (12th) · Science Stream
June 1, 2020 – May 31, 2021
New English School Kasarputale, Maharashtra
SSC (10th)
June 1, 2018 – May 31, 2019
MSRTC, Kolhapur Division
Statistics Intern
May 1, 2025 – May 1, 2025
Kolhapur, Maharashtra, India
A Study on Student Challenges and Their Impact on Academic Achievement
January 1, 2025 – January 1, 2026
Conducted a student survey in English and Marathi to collect academic, personal, and behavioral data from undergraduate students. Performed data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA) using Python, R, and Excel. Applied Correlation, Regression, ANOVA, Chi-Square Test, and EFA to analyze factors affecting academic performance. Built machine learning models including Logistic Regression, Random Forest, and XGBoost to identify academically at-risk students. Evaluated model performance using Accuracy, Precision, Recall, F1-Score, ROC Curve, and AUC metrics.
View ProjectData Science Using Python
NPTEL (Swayam)
October 1, 2025 – Present
Complete Data Analyst Bootcamp - From Basics to Advanced
Udemy
September 1, 2025 – Present
Essentials of Data Science with R Software -2: Sampling Theory and Linear Regression Analysis
NPTEL (Swayam)
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic project and internship show a focus on data analysis and statistical application, which aligns with a data science role. The project's nature (student challenges) indicates an interest in applying data science to social or educational contexts. The breadth of skills covers standard data science tools and methodologies. However, the limited professional experience and project diversity might suggest a need for more exposure to different industry problems and team structures to fully assess cultural fit in a dynamic corporate environment.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Teamwork, Time Management, and Storytelling with Data as soft skills. The project and internship descriptions indicate some application of these, particularly problem-solving and teamwork in the academic project. However, without direct interview data, the depth of these skills and their operational fit cannot be fully assessed.