Sravanth Revath Krishna Thatavarthi Email & Phone Number

United States

United States

• Identified a critical false positive in fraud reason codes that was costing millions of dollars, leading to a comprehensive analysis that refined fraud detection processes and significantly reduced erroneous financial.
• Developed complex SQL queries within a CTE framework to simulate and analyze transactional data, significantly enhancing fraud detection capabilities by identifying patterns and establishing fraud metrics over rolling.
• Integrated and transformed diverse data sets within the Snowflake environment using advanced SQL techniques, including self-joins and cross-database joins, to enrich transactional insights, enabling detailed status.
• Spearheaded the design and implementation of the 'EnhancedDriver' analytical tool using SQL within the Snowflake environment, improving data granularity and accuracy for fraud analysis, which supported proactive.
• Successfully enhanced a watchlist screening algorithm for the Anti-Money Laundering Modeling and Analytics Team. The algorithm has a parsing stage and I reduced the runtime by 37% through the implementation of.
• Dramatically enhanced the pairing stage of the AML watchlist algorithm by 77% with the use of multithreading in Python. Operational runtime was reduced from 93 hours to 21.4 hours across various business lines.

United States

Guided and assessed 93 students in Java and Software development methodology, achieving a satisfactory rate of 95%.

Telangana, India

• Cognizant provided a conducive environment for continuous learning and skill development. Through structured training programs, mentorship, and access to cutting-edge technologies, I was able to enhance my programming.
• During my tenure as a programmer analyst trainee at Cognizant, I had the opportunity to work directly on client projects from various industries.

Hyderabad, Telangana, India

• The primary focus of the internship was on a project aimed at predicting diabetes. This involved developing and implementing machine learning models to analyze health data and identify patterns that could indicate a.
• A significant achievement during the internship was the development of a predictive model with an accuracy of 93%. This high level of accuracy suggests that the model was very effective at correctly predicting whether.
• The internship provided valuable experience in the field of data science, particularly in the area of healthcare analytics. Skills gained include data analysis, machine learning, and the application of these techniques.

Hyderabad, Telangana, India

• The internship involved working on a project to develop an AI Chatbot using Python. This required a combination of data analysis skills and programming knowledge to create a chatbot that could interact effectively with.
• A key accomplishment during the internship was achieving a chatbot accuracy of 95%. This high accuracy rate indicates that the chatbot was able to understand and respond to user inputs correctly the vast majority of.
• The internship provided hands-on experience in data analysis and Python programming, as well as specific experience in AI and chatbot development. These skills are highly valuable in the growing field of AI and data.

Master Of Science - Ms, Computer Science

Bachelor Of Technology - Btech, Computer Science, 7.5

Activities and Societies: IEEE MemberGraduated from this Institute in the field of computer science and engineering. Worked for IEEE club.