Kratant Adhaulia

Augmented data capabilities, leading to the acquisition of over 50 clients and a 3x increase in month-on-month revenue starting from 2024. Monitored AWS usage metric, adopting techniques to keep monthly bills under check and reduced monthly AWS costs by 25%. Designed RESTful APIs to expose real-time data processing pipelines for seamless integration, reducing manual effort by 30% and costs by 20%. Reduced TAT for each report by 40% by improving search and better data transformations. Built Workflow Automation tools, cutting manpower requirements by 30% and resulting in cost savings of 200K-300K monthly.

Formulated custom query parser and query builder for Solr, improving search precision & recall to 85%. Deployed and managed Apache Solr Cloud in a production environment, reducing p95 from 5000ms to 2000ms. Established a team of annotators to accelerate data standardization, increasing daily token mappings from 250 to 5,000.

Revamped the codebase to reduce redundancy by 30%, cutting average code length from 400 to 200 lines. Created a comprehensive data pipeline aggregating data from 20 government sources into 3 different data storage.

Developed an analytical platform to solve long distance transportation issues using predictions, achieving initial model predictions of 70%. Prepared training data for a Linear Regression model to predict ticket confirmations; initial model had MAE over 50%.