Ajay Renganathan

Tech Stack - Python, Fast-Api, Elastic Search, Docker, Kubernetes, Data Science, System Design, ML, Data Pipelines, Scrum Master, Project Management.

• Engineering robust artificially Intelligence systems to predict medical claims from clinical notes using cutting edge technologies.
• Wrote highly maintainable, solid code for software system, forming core framework.
• Exhibited strong technical aptitude and application expertise resulting in optimized performance, continuous improvement recommendations and product innovation.
• Reviewed project specifications and designed technology solutions that met or exceeded performance expectations.
• Identified and documented project changes by proactively overseeing budgeting and scope concerns.
• Optimized and suggested changes improving product latency by 70% and saving 40% of cloud cost.
• Led software development initiative as a technical subject matter expert and primary point-of-contact for project management staff.
• Introduced agile methodologies and development best practices to team to enhance product development.

Tech Stack:- Python, JS, Django, Full Stack , Postgres, Rest API, GIT, Linux, ML, Jira

• Involved in developing and leading a supply chain SAS product which disrupted the Manufacturing and product inventory management sector .
• Owner and leader of Multiple modules like invoices, uploads, inventory and optimizations ,handling front-end and back-end simultaneously .
• Improved loading times up to 20 fold , implemented sever side optimization
• Have detailed understanding of product and suggested more efficient ways to streamline product and improve responsiveness and user experience.
• Visualized and designed the product database as I was one of the earliest members of the team.
• Working on implementing predictive Machine Learning algorithms into the platform to improve user experience and delivery estimation

Willis Towers Watson

Tech Stack:- Python, Pandas, Numpy, GIT, SQL, selenium, API, Jira

• Developed code for creating monthly and quarterly Financial reports for a fortune 100 banking client, made use of Python libraries and DBMS.
• Implemented Innovation in data creation and data insertion to speed up current process by 90% , and speeds up recurrent sprints by 30%.
• Involved in Chatbot development for Jira access and status updates, designed to increase ease of use and improve turnaround time.

TransUnion US

Tech Stack:- Python, C, Pylint, GIT, Jenkins, VStudio, MS Excel

• Designed and developed Python code to estimate credit worthiness.
• Worked on high budget account filtering algorithms which were used by Goldman Sachs to make a $300 million entry to solar loans market
• Created python automation scripts that helped speed up code deployment by up to 40%, by eliminating manual effort.