Lakshmi Kaligounder

Identify relevant data, perform EDA Analysis, perform Feature Engineering, build Model

• Back test to review clients and provide monthly alerts for clients whose performance deteriorate over time
• Identify candidates who are potential threats to organization

Lead the initiatives in Legal tower and delivered AI/ML solutions with a team of 5 members

• Complaints to Litigation
• Financial Insights for Time series (FITS)
• LLM models Summarization Q&A Tagging

Leading a 14-member team of Data Scientists and Engineers

• Recommendation Engine View-View (FP Growth), Bought-Bought (FP Growth), Similar Products (Content Based Filtering), Best Seller, Personalized Recommendation (Collaborative Filtering - Matrix Factorization, Factorization Machine)
• Intelligence Search Context Based Search
• Customer Counting Face Detection, Face Tracking, Face Recognition

• Successfully lead the research team of 7 members and carried the projects from research to delivery
• Increasing the gear sales Built an excellent lightweight intelligent engine for analyzing the game performance of player
• Tennis Analytics application in galaxy apps (TennisTraq) Badminton Analytics application in galaxy apps and play store (ShuttleTraq)
• Build a generic engine which is capable of analyzing all swing sports (E.g., tennis, badminton, squash, racquetball) Designed and built Feature Learning algorithm to improve the performance of ML models.

• Python development to automate the evaluation and analyzes process of NFC sensors, Beam, Card readers, Current drain etc.

• Developed Android Applications for Internet Of Things using Java to enable communication between devices
• Developed Android services to share pictures among the dynamically formed group when a picture is taken.

• Assisted Professor in his teaching assignments (Teaching Assistant) Assisted Public health department with their research work (Research Assistant) Helped Linguistic department, by trouble shooting computer related issues (Graduate assistant)

• Designed and taught graduate engineering courses in Computer Networks, Algorithms, Data structures, Cryptography and Network Security, Operating Systems, Software Engineering, Web Technology and coordinated relevant labs

• Developed ACMNMS (Advanced Cable Management – NMS) for support for real-time physical mapping of complete link between the switch and the endpoint device operations, using Java, Hibernate, Apache Tomcat Server, MySQL.

• Designed and taught graduate engineering courses in Artificial Intelligence, Computer Networks, Algorithms and Data structures