Karthik K C

Built a Semantic Product Bridging solution for a leading US Clinical Trials Management company, improving accuracy from 35% to 75% and leading to potential savings of 1 Million USD. Developed a Generative AI based solution for a US based Auto Insurer, summarizing medical records and treatments with almost 90% accuracy, reducing summarization time from 3-6 hours to under 5 minutes per claim.

Developed a solution architecture for deploying Machine Learning Models in SageMaker for a Hospitality Giant, serving 100 Million Customers. Built and deployed a Recommender System suggesting top destinations for 50 million customers, identifying cross-sell opportunities.

Enhanced an existing inventory model for over a million Store-SKUs for a US based CPG player. Performed complex data pulls using Snowflake queries involving hundreds of millions of transactions for ad-hoc requests from the Operations Planning Team.

Built a predictive model to identify patients at risk of hospitalization for a US Healthcare Client, providing recommendations for personalized healthcare. Developed an ML Model to identify early onset of sepsis for patients in an ICU for a Healthcare client.

Led analytics initiatives for the IT Service Operations Team, building Operational Dashboards using QlikSense for data-driven decisions and process efficiency improvements. Developed a Text Mining solution for the Tech Support Team to uncover insights from dealer calls, improving customer service and identifying product quality opportunities.

Built an ML Model to classify Cause of Loss Codes from Marine related claims for a UK based Reinsurer and extracted vessel names from Claim Notes to identify high value claims. Developed an NLP Solution for Automated Case Resolution, extracting entities from unstructured data (e-mails) to improve resolution time for L1 Incidents.

Supported R&D activities for a leading Electronic Appliances client by building 3D Models and 2-D Drafting, creating variants of parts for a Refrigerator Model. Supported Data Migration activities for an Oil & Gas client by performing Data Validation and maintaining data integrity.

Completed a Master of Science degree, focusing on advanced concepts and applications in the field. Gained expertise in data analysis, machine learning, and statistical modeling.

Earned a Bachelor of Technology degree, specializing in Electronics and Communication Engineering. Developed a strong foundation in engineering principles and problem-solving.