May 2024 – Apr 2025 · 11 mos · Bengaluru, Karnataka, India · On-site

• Exposure to end-to-end machine learning workflows involving data wrangling, exploratory data analysis, and feature engineering for structured and unstructured datasets. Experience with model development using supervised and unsupervised learning techniques, hyperparameter tuning, and performance optimization with metrics such as F1-score, ROC-AUC, and cross-validation. Contributions included building scalable pipelines with Python, TensorFlow, and SQL, deploying models into production environments, and applying deep learning methods in areas such as natural language processing and computer vision to enhance predictive accuracy and business outcomes.