Ammu Prakash

Guided students through the data analytics curriculum and familiarized them with industry tools such as Python and Tableau. Helped students plan, create, and structure data science projects via regular feedback.

Designed and built an optimized fleet analytics dashboard integrating predictive algorithms to reduce operational costs. Developed models to evaluate financial risk and recommend actions using prescriptive analytics.

Developed and deployed custom NLP models for knowledge discovery using Watson. Engineered and optimized ETL pipelines for large-scale unstructured data.

Designed predictive models for claims frequency and resource optimization using weather-linked data. Built a custom web app to visualize model results and present actionable insights to business leaders.

Created predictive models (XGBoost, Isolation Forest) for fraud detection and customer purchasing patterns. Built data pipelines and supervised models on AWS for real-time recommendations.

Led supervised modeling initiatives to estimate premiums and claims, integrating internal and external data sources. Collaborated with actuaries and deployed scalable Spark-based solutions.

Developed machine learning models for image segmentation and medical diagnostics. Utilized various algorithms including K-means clustering and Fuzzy clustering algorithms.

Completed a Master of Science degree in Electrical and Computer Engineering.

Obtained a Bachelor of Engineering degree in Electrical and Electronics Engineering.