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Data Science with less than a year in Data Analytics & Machine Learning.
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Assessing your cultural and operational fit
Pravin Ahire is an aspiring Data Science professional with practical experience as a Data Science Intern. Skilled in data cleaning, processing, analysis, and reporting using SAS, Python, and SQL. Proven ability to apply forecasting, machine learning, and clustering concepts to support data-driven decision-making and business planning through various projects. Adept at exploratory data analysis, model development (SARIMA, Holt-Winters, Logistic Regression, Decision Tree, Random Forest, KNN, Naive Bayes, SVM), and delivering actionable insights.
Savitribai Phule Pune University
M.Sc. Statistics · Statistics
August 1, 2023 – June 30, 2025
Sir Parshurambhau College, Pune
Bachelor of Science · Statistics
August 1, 2020 – June 30, 2023
M.S.G College, Malegaon(Nashik)
Higher Secondary
June 1, 2019 – May 31, 2020
New English School, Karanjgavhan (Nashik)
Secondary
June 1, 2017 – May 31, 2018
Woodpecker Analytics and Services, Pune
Data Science Intern
September 1, 2025 – December 1, 2025
India
Loan Approval Prediction
September 1, 2024 – December 1, 2024
Performed data preprocessing, including missing value treatment and feature engineering, to enhance data quality. Built and evaluated multiple machine learning models (Logistic Regression, Decision Tree, Random Forest, KNN, Naive Bayes, SVM). Improved model accuracy through cross-validation and hyperparameter optimization.
Onion Price Forecasting
July 1, 2024 – December 1, 2024
Conducted Exploratory Data Analysis (EDA) to examine price trends and seasonal patterns. Used Welch's t-test to compare onion prices pre-COVID, during COVID, and post-COVID. Developed SARIMA and Holt-Winters models for time series forecasting. Assessed and compared model performance using AIC, BIC, and RMSE for optimal model selection.
Propensity Modeling for an E-Commerce Company
January 1, 2023 – June 1, 2023
Built a predictive model to estimate customer purchase propensity using e-commerce data. Performed EDA, RFM segmentation, and loyalty scoring to identify high-value customer groups. Used Python (Pandas, Seaborn, Matplotlib) for data analysis, visualization, and customer insights generation. Delivered actionable insights through predictive analytics, customer segmentation, and data-driven decision-making.
Data Analytics with Python
NPTEL
June 1, 2026 – Present
Biological Data Analysis and Visualization with R
NPTEL
June 1, 2026 – Present
Student coordinator certificate in the STATQUEST
S.P. College Pune
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science concepts. Involvement in extra-curricular activities and volunteering indicates a collaborative spirit and engagement beyond academics. The diversity of projects (forecasting, propensity modeling, loan prediction) shows a broad interest in applying data science to different domains, which aligns well with a dynamic work environment. The target role of Data Science is well-aligned with their educational background and internship experience.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Problem Solving, Creativity, Teamwork, Communication, and Decision-Making, which are crucial for operational fit in a data science role. Participation in extra-curricular activities and a student coordinator role also suggest good teamwork and communication abilities. However, these are self-reported and not validated by assessments.