Sri Vishnu Gopinathan Email & Phone Number

• Worked as a Research Assistant in University of Houston-Victoria under Dr. Wan in the Computer Science department.• Collaborated on research investigating human social behavior and predictive patterns, using the raw data from 'yelp'web URLs.• Employed advanced data cleansing techniques and conducted in-depth analysis on Yelp datasets by leveraging Numpy and Pandas libraries in Python for efficient data manipulation.• Published AI journal papers focused on student counseling systems.• Developed Neural Network Model for Regression analysis to predict the success rate of transfer students.• Prompted the implementation of a data collection process through surveys conducted with students from North Eastern Illinois University and stored the collected data in MongoDB for model training purposes.• Subjected the collected data in MongoDB to data wrangling processes and analysis for determining co-relations and feature importance from a diverse range of academic, demographic, student's interests and financial data collected.• Designed Sequential model with a wide range of input parameters utilizing Tensor Flow and Keras libraries.• Performed pre-processing and scaling for the training data using Scikit-learn in python.• Implemented Hyper Parameter Tuning methods for the Deep Learning model through Grid Search CV and Randomized Search CV techniques to find optimal configurations for the model such as learning rate, activation function, drop out rates, units, optimizers and epochs. This resulted in significant drop in error rates during model validation and prediction.• Utilized Flask to successfully handle API calls from web application for model inference, training and testing.

United States

• Conducted extensive Big Data Analytics for identifying the risk metrics involved in Credit Card Collections by analyzing huge volumes of member's data, and fostered the Performance Optimization of a Time-Series model.• Collaborated seamlessly with cross-functional teams to identify critical features, data sources and strategically selected key metrics for exploratory data analysis (EDA).• Leveraged Azure Databricks, Azure Data Lake and MySQL to analyze large and complex data structures.• Applied advanced pySpark techniques for data extraction, cleansing, feature importance and statistical analysis for diverse range of member attributes.• Transformed analytical findings into compelling visualizations and dashboards using PowerBI.• Actively involved in the integration of Kafka for data streaming, a pivotal enhancement that enabled real-time data processing and analysis.• Worked on pyTorch and TensorFlow frameworks to study and enhance the performance of the Prophet model that forecasts Credit Card Collection's returns for a given month.• Effectively communicated complex data insights through visualizations and descriptive findings to technical, non-technical stakeholders and business leadership, facilitating informed strategic decisions.• Contributed to enhancing the organization's data-driven culture by championing the use of data analytics in categorizing members into low, high and medium risk categories based on identified risk metrics for better resource allocation and decision-making.

India

Education record

Bachelor'S Degree, Electronics And Communications Engineering