About
Motivated student with hands-on experience in Python, SQL, Excel, Power BI, data analysis, and machine learning. Experienced in data cleaning, exploratory data analysis, visualization, dashboard development, and building ML models.
Experience
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Data Analytics TraineeEncode AISep 2025 – Sep 2026
Education
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Bachelor Of Computer ApplicationHolkar Science College2024 – 2027
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Class XIISenior Secondary (Board)PCM · 2022
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Class XSecondary (Board)2020
Skills
Projects
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Mental Health Risk PredictionPython, Scikit-learn, Random Forest, Streamlit, Joblib
Developed a Random Forest classification model to categorize mental-health risk levels using lifestyle, sleep, stress, anxiety, and social-support features. Applied data preprocessing, EDA, feature analysis, and model evaluation using Accuracy, Precision, Recall, F1-Score, and Confusion Matrix. Created an interactive Streamlit prediction dashboard and integrated the trained model with Joblib for reusable predictions.
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Customer Behavior AnalysisPython, Pandas, NumPy, Matplotlib, Seaborn, SQL, Power BI
Analyzed customer purchasing behavior using exploratory data analysis on retail sales data. Cleaned and preprocessed customer transaction data by handling missing values and duplicates. Created interactive Power BI dashboards to visualize sales trends, customer retention, and top-performing products.
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E-Commerce Customer Sales Intelligence PlatformPython, Pandas, NumPy, SQL/MySQL, Power BI, Excel
Analyzed 12,500+ e-commerce transactions using Python and SQL to identify revenue, product, and customer trends. Performed data cleaning, EDA, and RFM customer segmentation to identify high-value and inactive customers. Built an interactive Power BI dashboard to track sales, customers, orders, product performance, and key business KPIs.
Courses & certifications
- Data Science Data Analytics Certification · Encode AI · 2026
- Python Programming Certification · Encode AI · 2026
- C, C++ Certification · Universal Informatics · 2025