My Projects
Project 1: Seismic Fault Detection using CNN Models
As a Graduate Computer & Systems Engineering Student, I developed UNet++ model-based algorithm using Python and Tensorflow Libraries to detect and accurately predict fault lines in synthetic seismic data to reduce dependency on traditional detection tools resulting in cost savings.
Project 2: Energy Forecasting using Time Series Analysis – BigDEAL Challenge 2022
As part of my Master's coursework in Engineering Analytics, I Implemented machine learning time series analysis models to analyze Energy consumption data using Python & R libraries to train, test and validate models to further predict peak load values for annual data by attaining reduced relative error rates near to less than 1.5%.
Project 3: PwC Power BI in Data Analytics Virtual Usecases
As a remote intern for PwC, I executed development of data analytics and business intelligence reports for call center trends analysis of 5000 callers, customer retention & sales analysis of 1st and 2nd year contracts to achieve increments, diversity inclusion analysis in HR department for 500 members.
