Pravallika Thota

Master Thesis Student @ Bosch Center for Artificial Intelligence (BCAI)

About

I apply AI to solve complex problems — from materials science to any domain where data can drive smarter decisions. At Bosch GmbH, I completed my Master’s thesis developing machine learning models that predict magnetization behavior and mechanical properties of advanced alloys, accelerating R&D and improving energy efficiency. My experience spans computer vision, signal processing, and predictive modeling, where I combine technical depth with curiosity and creativity to build scalable, real‑world solutions. Core Skills: Machine Learning · Deep Learning · Data Science · Computer Vision · Predictive Modeling · Python

Country

Germany

City

Reutlingen

Industry

Computer Software

Skill

Programming, Python (NumPy, Pandas, SciPy), scikit-learn & XGBoost, Gaussian Process Regression, Symbolic Regression (PySR), NumPy · Pandas · SciPy · Librosa (audio) · scikit-learn · PyTorch (basic), Signal processing: FFT, STFT, MFCC, spectrograms, filtering, windowing, Anomaly detection: Isolation Forest, Evaluation & viz: PR curves, confusion matrices, Matplotlib/Plotly, Data & tooling: Jupyter, Git, data cleaning/ETL, reproducible notebooks, Python, NumPy, Pandas, scikit-learn TensorFlow, Data wrangling, EDA, feature engineering, Train/val/test splits, k-fold CV, Metrics: accuracy, F1, MSE/MAE, SQL, basic data modeling, clean code, Writing tests, Supervised learning: classification, regression, Unsupervised basics: clustering, PCA, Hyperparameter tuning: Hyperopt