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Data Analyst with 1+ years in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
Motivated and analytical fresher with a Master of Computer Applications (MCA) and hands-on experience in data analysis, SQL query optimization, and machine learning model development. Completed impactful projects in Customer Churn Prediction and E-Commerce Product Analysis using Python, Pandas, Scikit-learn, and SQL. Currently working at LEANK (KEI) Services India Pvt. Ltd., Pune, contributing to data-driven solutions. Passionate about transforming raw data into actionable business insights through statistical analysis, data visualization, and predictive modelling.
Chhatrapati Sambhajinagar
Master of Computer Applications
August 1, 2022 – June 30, 2024
Chhatrapati Sambhajinagar
Bachelor of Science · Computer Science
August 1, 2018 – June 30, 2021
LEANK (KEI) Services India Pvt. Ltd.
Data Analyst (Associate)
June 1, 2025 – Present
Pune, Maharashtra, India
Modi Innovations Pvt. Ltd.
Data Analyst Intern
January 25, 2024 – May 25, 2024
Pune, Maharashtra, India
E-Commerce Product Analysis
June 23, 2026 – Present
• Conducted analysis of 50,000+ product records from an e-commerce dataset to uncover sales trends and customer behaviour. • Cleaned and transformed raw data using Pandas handled missing values, duplicates, and inconsistent category labels. • Performed SQL-based analysis to identify top-selling categories, seasonal demand patterns, and revenue distribution. • Built dashboards presenting KPIs: Average Order Value (AOV), Return Rate, and Category Revenue Share. • Applied RFM (Recency, Frequency, Monetary) segmentation to classify customers into high-value, at-risk, and dormant groups. • Identified top 5 product categories contributing to 70% of total revenue through data-backed recommendations.
Customer Churn Prediction
June 23, 2026 – Present
• Developed an end-to-end machine learning model to predict customer churn on a telecom dataset with 7,000+ records. • Performed Exploratory Data Analysis (EDA) to identify key churn indicators: contract type, tenure, and monthly charges. • Applied data preprocessing null value treatment, label encoding, and feature scaling (StandardScaler). • Built Logistic Regression, Decision Tree, and Random Forest classifiers; achieved 85%+ accuracy using Random Forest. • Visualized feature importance, confusion matrix, and ROC-AUC curve using Matplotlib and Seaborn. • Identified top 3 churn risk segments, enabling targeted customer retention strategies for business stakeholders.
College ERP System - Data & Backend Development
March 1, 2025 – June 1, 2025
• Designed SQL Server backend and optimized complex queries, reducing data retrieval time by 30%. • Built RESTful APIs for structured data flow; implemented role-based access control (RBAC) for secure data governance. • Performed database schema design and normalization ensuring data integrity across 10+ interrelated entities. • Followed full SDLC methodology - requirement analysis, system design, testing, and Agile deployment.
Python for Data Science and Machine Learning
Udemy
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia - Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data analysis techniques, from e-commerce product analysis to customer churn prediction and ERP system backend development. The current and internship roles as a Data Analyst align well with the target role, indicating a clear career path and interest in the field. The breadth of tools and concepts mentioned (Python, SQL, ML, Power BI, database design, Agile) suggests adaptability and a willingness to acquire new skills, which are positive indicators for cultural fit in a dynamic environment. The academic background (MCA, BSc CS) provides a solid theoretical foundation.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with cross-functional teams and adherence to SDLC and Agile methodologies, suggesting a good operational fit. The ability to translate data into actionable insights for business stakeholders indicates strong problem-solving and communication potential. However, without specific psychometric or communication test results, a deeper assessment of soft skills like stress handling, leadership, or advanced communication nuances is not possible.