Machine Learning Data Science

Shweta Patil

+91-904******* ****************@*****.*** linkedin.com/shweta-s-patil

github.com/ShwetaPatil2543 kaggle.com/shwetapatil2503 Education

BTech in Artificial Intelligence and Data Science Expected June 2026 Dr. J. J. Magdum College of Engineering Jaysingpur Percentage - 70(till now) HSC March 2022

Mahatma Gandhi Highschool and Junior college Rukadi Percentage - 66.50 Technical Skills

Languages: Python, C++, HTML, CSS, SQL, Machine learning Libraries/Frameworks: Pandas & NumPy, Matplotlib, Scikit learn, Seaborn, Streamlit, Flask, TensorFlow, Computer Vision Database: MySQL, Oracle

Tools/Platforms: MS Power BI, Github, VS Code, PyCharm, MS Office, Jupyter Notebook Experience

Python Developer Intern Jun 2024 – Jul 2024

Technohacks Solutions Pvt Ltd

• Worked on Python-based data analysis and automation scripts to streamline internal reporting tasks.

• Utilized libraries like Pandas, NumPy, and Matplotlib to clean, transform, and visualize datasets.

• Collaborated with the development team to improve code efficiency and implement reusable functions. Projects

Prediction of Stock Market Prices using Machine Learning Python, Pandas, NumPy, Seaborn, Matplotlib, Jupyter Notebook

• Developed a machine learning model to predict stock market trends using historical price data and technical indicators.

• Performed data preprocessing, visualization, and feature engineering using Pandas, NumPy, Seaborn, and Matplotlib.

• Implemented and evaluated multiple regression models to identify the most accurate predictor for price movements. Demographic Data Analyzer Python, Pandas, NumPy, Jupyter Notebook

• Analyzed 1994 U.S. Census demographic data to generate statistical insights using Pandas and NumPy.

• Calculated race representation, average age of men, education level distributions, and salary-based demographics.

• Derived advanced metrics such as the percentage of high earners by education level and working hours.

• Identified that India’s most popular high-paying occupation is Prof-specialty among those earning greater than 50K.

• Applied filtering, grouping, and aggregation techniques to extract meaningful patterns from raw data. E-commerce Data Analysis using Python Python, Pandas, Plotly, Streamlit, Jupyter Notebook

• Analyzed a real-world Superstore e-commerce dataset to extract insights on sales, profit, orders, and customer behavior using data analysis and visualization techniques.

• Performed data preprocessing, filtering, and time-based analysis to uncover regional and product-wise performance trends.

• Utilized Pandas and Plotly to group, aggregate, and visualize KPIs such as top-selling products, category-wise orders, and regional profitability.

• Built an interactive Streamlit dashboard with sidebar filters and dynamic charts, enabling real-time insights through visualizations like line plots, bar charts, pie charts, and heatmaps. Certifications

Zomato Data Analysis using Pandas and NumPy Python and Machine Learning Fundamentals AI for Students: Build Your Own Generative AI Model Data Analysis with Python by FreeCodeCamp Achievements & Extra-Curricular Activities

• Volunteered with the National Service Scheme (NSS) at JJMCOE, Jaysingpur.

• Active member of the Central Coding Club at JJMCOE, contributing to coding events and peer learning.

• Served as a member of the Women’s Cell during the academic year 2023–2024, promoting gender awareness and inclusivity.

• Participated in the National Level Women’s Special Financial Planning Webinar, focusing on financial literacy and investment planning.

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