- 🎓 Mechanical Engineering undergraduate student with hands-on experience in Data Analytics and Machine Learning.
- 🔭 Currently working on projects like:
- Application of Image Processing and Machine Learning: Model to predict slug formation.
- 📫 Reach me at: [email protected]
- Programming Languages: Python, C++, HTML, CSS, JavaScript
- Frameworks: Django
- Machine Learning: Logistic Regression, Decision Trees, Random Forest
- CAD & Simulation: AutoCAD, Fusion 360
- Visualization Tools: Tableau, Gnuplot
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Employee Attrition Prediction Model Developed a predictive model using Logistic Regression, Decision Tree, and Random Forest algorithms to predict employee attrition.
- Performed feature engineering and created new variables based on the available data.
- Used hyperparameter tuning to improve model performance.
- Conducted statistical tests to analyze correlations and feature relevance.
- Compared different models to select the best-performing one.
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1D Fin Temperature Distribution
Developed C++ code to simulate temperature distribution in a 1D fin subjected to volumetric heating. Used the TDMA algorithm and Gnuplot for visualization. -
Taxi Fare Prediction Model
Created a machine learning model to predict taxi fares based on various factors, using Python.
Feel free to explore my repositories and connect with me!