Vibha Rawan

I’m a Data Scientist with 5.3+ years of experience, leveraging Python, Machine Learning, NLP, and Computer Vision to build scalable, real-world solutions. I’m driven by strong data analysis, feature engineering, and model evaluation—turning complex, imbalanced datasets into dependable predictions.

I’ve delivered end-to-end ML solutions across petrochemical, finance, commodity, and pharma domains, with a collaborative mind-set. From predictive risk modelling for customer payment behavior to optimizing production monitoring, I focus on building systems that support better decision-making and measurable outcomes.

Some of my standout work includes developing a predictive system to estimate customer propensity to pay and self-pay for better collection strategies, using advanced classification models such as Neural Network and XGBoost. I’ve also built GPT-4o-based recruitment intelligence that parses inclusion/exclusion criteria and extracts ICD/CPT codes, plus an LLM-driven resume parser using Elastic search to automate skill-based resume classification.

At Neosoft, I lead as an Associate Team Lead in Data science (Dec 2020–Present), where I drive ML for strategic decision-making and mentor a team of 10 data scientists. I collaborate across product, engineering, and business stakeholders to architect and deliver actionable insights at scale, including real-time commodity price forecasting with ETL for streaming environments.