Mithil Reddy Koppula
@mithilreddykoppula
Computer engineering student building machine learning and web applications with strong time-series and predictive analytics skills.
What I'm looking for
I’m a Computer Engineering undergraduate at Mahindra University, building practical skills through focused coursework like Machine Learning, Applied Time Series, Data Structures, and Database Management Systems. With a CGPA of 8.04/10 (till 5 semester), I enjoy turning data into models that can explain and predict real outcomes.
In my projects, I built ML models for Employee Attrition & Salary Prediction using classification and regression techniques including Logistic Regression, Decision Trees, SVM, Random Forest, Ridge, and Lasso. I evaluated results with F1-Score and ROC-AUC, then simulated salary growth to estimate the financial impact of attrition. I also developed Day-Ahead Electric Load Forecasting with SARIMA/SARIMAX, analyzing seasonal patterns using STL decomposition and presenting forecasts via a Streamlit dashboard.
I pair predictive modeling with clean implementation: I created an Interactive Web Based Quiz Application using HTML, CSS, and JavaScript, focusing on a mobile-friendly, responsive interface with question navigation, answer validation, and a countdown timer. I’m looking to contribute to teams where I can apply data-driven engineering to ship reliable, measurable solutions.
Experience
Work history, roles, and key accomplishments
Quiz Application
Mahindra University
Aug 2025 - Dec 2025 (4 months)
Built a responsive web quiz application with question navigation, answer validation, and a countdown timer. Created a mobile-friendly UI using semantic HTML and responsive CSS for smooth interaction across devices.
Day-Ahead Load Forecasting
Mahindra University
Aug 2025 - Dec 2025 (4 months)
Built SARIMA/SARIMAX time-series models to forecast 24-hour electricity demand using the OPSD dataset. Analyzed seasonal patterns with STL decomposition and visualized forecasts using a Streamlit dashboard.
Employee Attrition Predictor
Mahindra University
Jan 2025 - May 2025 (4 months)
Developed machine learning models to predict employee attrition and future salary trends using classification and regression techniques. Trained models with Logistic Regression, Decision Trees, SVM, and Random Forest, and evaluated performance using F1-Score and ROC-AUC.
Education
Degrees, certifications, and relevant coursework
Mahindra University
Bachelor of Technology, Computer Engineering
2023 - 2027
Grade: CGPA: 8.04/10 (till 5th semester)
Activities and societies: Projects: Interactive web-based quiz app (HTML/CSS/JS, Aug 2025–Dec 2025); Employee attrition & salary prediction (Jan 2025–May 2025) using Logistic Regression, Trees, SVM, Random Forest, Ridge/Lasso; Day-ahead electric load forecasting (Aug 2025–Dec 2025) with SARIMA/SARIMAX + STL + Streamlit.
Pursuing a Bachelor of Technology in Computer Engineering, with coursework including Data Structures, DBMS, Applied Time Series, Machine Learning, and Operating Systems. Currently maintaining a CGPA of 8.04/10 (till the 5th semester).
Narayana Junior College
Intermediate, Intermediate
2021 - 2023
Grade: 96.2%
Completed Intermediate studies at Narayana Junior College, achieving a percentage of 96.2%.
Narayana Olympiad School (SSC), Adibatla
SSC, Secondary School Certificate (SSC)
2020 - 2021
Grade: 100%
Completed SSC at Narayana Olympiad School, Adibatla, with a percentage of 100%.
Availability
Location
Authorized to work in
Job categories
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