Srikrishnan Sudarsanam

• Engaged in cryptocurrency price forecasting utilizing Machine Learning (ML) and ChatGPT technologies, a process comprising data collection of historical price data and news articles, preprocessing for analysis, and feature extraction. • Trained ML models on the compiled data to predict price fluctuations based on sentiment analysis of news articles, while ChatGPT integration enriches insights by offering contextual understanding of news impact. • Evaluated model using RMSE and MAE

Contributed to the research of a social platform development dedicated in connecting a global user base. My research was about the best possible features for the platform's optimised functionality, with a particular focus on cloud infrastructure and scalability.

A forest fire prediction system was developed using WSN, FWI, machine learning, and a web application. The system collected real-time data on climatic factors and used a Random Forest Classifier for early stage fire prediction. The data was hosted on a Flask web application for monitoring by the forest department.

Experienced software engineer in Cloud, Data & Analytics. Led teams to deliver real-time dashboards, predictive analytics, software development and optimized testing. Proven success serving clients in retail, banking and other industries. A team player with a commitment to delivering quality results.

University of Birmingham, Birmingham, United Kingdom Master of Science, Computer Science, 09/2022 Major: • Full Stack Application Development. • Artificial Intelligence and Machine Learning. • Data Structures, Algorithms and Databases.