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Entry-level Data Scientist with Python and SQL expertise
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Detail-oriented and analytical final-year Computer Science student with hands-on experience in Python, SQL, and data analysis. Proficient in performing exploratory data analysis (EDA) and deriving actionable insights using Pandas and NumPy. Experienced in working with relational databases (SQL, PostgreSQL) and translating complex data into clear, business-driven narratives. Seeking a challenging role as a Data Analyst, Data Scientist, or Python Developer to apply strong problem-solving skills and programming expertise in driving data-informed decisions.
Sharad Institute of Technology College of Engineering, Yadrav
B.Tech · Computer Science and Engineering
N/A – June 30, 2026
ZInovat
Python Programming Intern
June 1, 2024 – July 31, 2024
Sangli, Maharashtra, India
Customer Churn Prediction
January 1, 2026 – Present
Built an end-to-end ML pipeline to predict customer churn using a real-world telecom dataset with features like tenure, contract type, monthly charges, and service usage. Trained and compared multiple models including Logistic Regression, Random Forest, and XGBoost; achieved best accuracy of 92% with XGBoost after hyperparameter tuning. Evaluated models using Precision, Recall, F1-Score, and ROC-AUC to handle imbalanced churn data effectively. Visualized key churn drivers such as contract type, tenure, and monthly charges using Matplotlib and Seaborn to generate actionable business insights.
View ProjectFlight Price Analysis & SQL Capstone
January 1, 2026 – Present
Performed data cleaning and EDA—handled null values, detected and clipped outliers in price and duration columns using the IQR method. Conducted visual analysis using Seaborn, Matplotlib, and Plotly to uncover insights such as Vistara being the most expensive airline, Delhi as the busiest source city, and ticket prices rising as departure date approaches. Integrated SQLite database and executed 15+ advanced SQL queries covering GROUP BY, HAVING, window functions (ROW_NUMBER, PARTITION BY), subqueries, and CASE WHEN statements. Derived key business insights such as top 5 expensive routes, cheapest Business class airline, price variation by stops and departure time, and Economy vs. Business class price difference per airline.
Bakery Management System
September 1, 2023 – November 30, 2023
Developed a desktop application in Python to manage a bakery's inventory, sales, and customer orders. Designed and implemented a relational SQL database to handle all CRUD operations for products and sales. Created features for real-time inventory tracking, processing new sales, and generating daily/weekly sales reports.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a proactive learning attitude and a genuine interest in data science and analysis. The diversity of projects (churn prediction, flight price analysis, bakery management system) shows adaptability and a willingness to apply skills across different domains. The internship experience indicates an ability to work in a professional environment. The target role of Data Science aligns well with the candidate's demonstrated project work and technical skills.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving and analytical skills. The internship experience mentions collaboration and supporting data-driven decisions, suggesting a team-oriented approach. However, without specific psychometric or English test scores, a deeper assessment of operational fit and communication soft skills is limited.