Ramesh Reddy Palwai

As a Data Scientist, I Developed topic modeling algorithms utilizing NLP transformers and Finetuned GPT-3 for multilabel text classification. Deployed machine learning models on Azure environment as FastAPI endpoints using Docker by creating and configuring containers for efficient model execution. By using the advanced Dash framework for strategic planning and developing Customer Value Analysis (CVA).

In this role, I have implemented ticket sales forecasting model for the Entertainment industry. Recognized for successfully extracting, processing, and combining data from multiple sources, such as client DBs & external sources (APIs). To design segmentation models, I have utilized clustering techniques based on customer interests, order frequency, and the number of items per order. Gathered and examined transaction data from ticketing systems and E-Commerce.

Developed a machine learning model to analyze the data acquired from system sensors along with real world data. Responsibilities: Data cleaning, feature engineering, optimization and implementation of classification and regression models.

Developed an ANN model to identify different operating conditions of a valve with. Responsibilities: Data acquisition, data cleaning and implementation of machine learning & ANN models

Worked on development of SQL and stored procedures on PostgreSQL. Implemented Python code for automatic provider ranking.

Subjects:- Pattern Recognition , Pattern Analysis, C++ Programming, programmable techniques for supercomputer. Projects:- Optical flow implementation with C++ and CUDA programming. Seminars:- Human Activity Recognition, and Intel Many Integrated Core Architecture

Subjects:- Control systems, Power systems, Power Electronics, Instrumentation, Network theory, Machines Thesis:- Enhancement of Micro turbine-Generator Output Voltage Quality through Application of Matrix Converter Interface.