vinod kumar

I’m a results-driven Data Scientist with hands-on experience building end-to-end machine learning pipelines, deploying models, and turning complex data into actionable business insights. I apply ML, NLP, deep learning, and computer vision techniques across tabular, text, and image data to help teams define problems and deliver measurable outcomes.

I’ve owned production-oriented work from preprocessing and feature engineering through model training, evaluation, and iteration for robust performance.

During my internships at British Airways and The Spark Foundation, I delivered NLP-based customer feedback classification, built interactive dashboards in Python for non-technical stakeholders, and collaborated cross-functionally with product and operations teams. I validated model performance across train/test splits, tuned hyperparameters, and communicated results clearly—demonstrated by my LinkedIn posts that gained 500+ views and 50+ likes.

I’m especially excited by fintech innovation and scalable AI solutions. My projects include Mobile Price Prediction (scraping 10,000+ records, engineering 50+ features, and achieving strong R²) and Sales Data Analysis (Power Query transformations and executive-level visualizations), alongside an Analytics Vidhya top-5% contest finish.