My Work
Jet Engine Failure Prediction
Predicting Aircraft Engine Remaining Useful Life (RUL) using various modeling techniques
- 1D-CNN-LSTM
- Random Forest
- Decision Tree
- Support Vector Regression
Winning Strategies: Analyzing 4th Down Tactics in American Football
This project applies data mining and statistical learning to analyze fourth-down decision-making in the NFL.
- Python (Pandas, Scikit-learn, XGBoost, Logistic Regression, etc.)
- K-means Clustering
- Generalized Additive Models (GAM)
- Inverse Transform Sampling for Simulation
Predicting Field Water Capacity and Permanent Wilting Point
Predicting Field Capacity and Permanent Wilting Point using easily measured soil health parameters with advanced machine learning models.
- Gene Expression Programming (GEP)
- Multiple Linear Reegression
- Random Forest
- Optimization
About Me
I am an agronomist and data enthusiast with a passion for applying research and analytics to solve real-world challenges in agriculture and beyond. My work bridges agronomy, machine learning, and research to provide information on trends and patterns that improve sustainability and profitability of farming. I also manage GriinAg, an agronomy planning software that helps agronomist plan better field visits. Outside of work, I enjoy exploring new technologies, learning languages, and continuously expanding my skillset.
My Resume
