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Data Science with less than a year in Machine Learning & Data Analysis.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Science enthusiast with hands-on experience in Machine Learning, Data Analysis, and Business Intelligence projects. Skilled in Python, SQL, Pandas, NumPy, Power BI, and Excel. Demonstrated ability to translate raw data into actionable insights through predictive modelling, statistical analysis, and visualisation. Completed projects like Blinkit Business Insights Dashboard and Customer Purchase Behaviour Analysis, showcasing analytical thinking and problem-solving capabilities.
Masai School
Data Science
March 1, 2024 – June 1, 2025
Sant Gadge Baba University
Bachelor of Commerce
August 1, 2018 – May 1, 2021
Manish R. Mehta & Co. Chartered Accountants
Accounts & Data Management Intern (Team Lead)
June 1, 2023 – December 1, 2023
Amrāvati, Maharashtra, India
Customer Churn Prediction
January 1, 2026 – June 1, 2026
Analysed customer behaviour data to identify churn patterns using EDA, statistical analysis, and visual insights. Cleaned, transformed, and prepared raw data using Pandas and NumPy, including encoding, scaling, and feature engineering. Built and compared multiple machine learning models (Logistic Regression, KNN, SVM, Random Forest) for churn prediction. Evaluated models using Accuracy, Precision, Recall, F1-score, and Confusion Matrix to support data-driven decisions. Used Random Forest to improve predictive performance by capturing complex feature relationships, while keeping Logistic Regression as an interpretable baseline. Converted analytical findings into clear business insights to explain why customers are likely to churn. Followed an end-to-end ML workflow: data understanding → analysis → modelling → evaluation → justification.
View ProjectBlinkit Business Insights Dashboard
January 1, 2026 – June 1, 2026
Designed an end-to-end Power BI dashboard to analyse Blinkit's sales, delivery, customer ratings, and inventory performance. Built Executive Overview KPIs including Revenue, Orders, Growth %, Avg Order Value, Delivery Delay & Ratings. Analysed delivery efficiency and identified that over 60% deliveries were late, impacting customer satisfaction. Performed customer rating & feedback analysis, highlighting low-rating drivers and repeat customer behaviour. Evaluated inventory health, revealing that nearly 46% stock was damaged, indicating operational risk. Delivered actionable business insights & recommendations for sales decline, logistics optimisation, and inventory control.
View ProjectXto10x Hackathon edition #3
Masai
June 1, 2026 – Present
48-hour Xto10x Hackathon by Masai School
Masai School
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying Data Science concepts. The hackathon participation indicates a willingness to engage in challenging, collaborative environments. The 'Accounts & Data Management Intern' role, while not directly Data Science, shows experience in data organization and client communication, which are valuable for cross-functional collaboration. The blend of academic rigor (Masai School) and practical application in projects suggests a good cultural fit for a dynamic, results-oriented team.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as teamwork, collaboration, problem-solving, and workload handling. The internship experience as a 'Team Lead' further suggests leadership potential and operational fit for roles requiring coordination and structured workflow development. The hackathon participation also indicates an ability to work under pressure and collaborate effectively.