Mechanical Engineering graduate from
GCT Coimbatore with a minor in AI/ML. Passionate about data analytics, Python, SQL, and solving real-world problems
# 👋 Hi, I'm Praveen S R 🎓 I'm a Mechanical Engineering student at GCT, Coimbatore, with a Minor in Artificial Intelligence and Machine Learning. 🔍 I’m passionate about **data analytics**, **machine learning**, and using data to solve real-world problems. 🛠️ Experienced with Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, SQL, MySQL, SQLplus, Oracle10g, PLsql, Excel, Power BI, and Jupyter Notebook. --- ## 💡 Projects - **Formula 1 Data Analysis**: Analyzed F1 race data (1950–2019) using Python and visualized race trends, driver performance, and lap speeds. - **Wear Prediction of 316L SS**: Built a linear regression model to predict wear behavior of 316L stainless steel (cast & AM). - **Hardness Prediction of 316L SS**: Compared hardness between cast and SLM samples using ML models like SVM, Decision Tree, and Random Forest. --- ## 🧰 Skills - **Languages**: Python, SQL - **Libraries/Tools**: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, MySQL, Power BI, LINUX, SQLplus, Oracle10g, PLsql - **Soft Skills**: Problem Solving, Leadership, Critical Thinking --- ## 🏆 Achievements - 🥇 First Prize – Machine Drawing Competition - ⭐ 5-Star – SQL Problem Solving on HackerRank --- 📫 **Reach me at**: praveensr3110@gmail.com
Popular repositories Loading
-
-
Formula1-data-analysis
Formula1-data-analysis PublicEDA on historical Formula 1 race data from 1950 to 2019 using Python. The project involved cleaning, visualizing, and deriving insights from multiple datasets related to race results, driver perfor…
Jupyter Notebook
-
SQL_retail_sales_project1
SQL_retail_sales_project1 PublicChatGPT said: Performed SQL-based analysis on retail sales data involving data cleaning, sales categorization, and customer insights. Identified top products, peak sales periods, and customer trend…
-
Zepto_SQL_Analysis
Zepto_SQL_Analysis PublicAnalyzed Zepto’s product dataset using SQL to perform data cleaning, transform stock and pricing fields, and extract business insights like top discounted products, revenue by category, and invento…
-
-
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.