Apr 2021 – May 2021 · 1 mo

• Building an Organizational Gender Equality Assessment Functionality using Machine Learning
• Gathered generic employee review data and women centric employee review data from various online resources
• Employed KeyBERT keyword extraction method on women centric employee reviews and filtered out irrelevant data
• Computed VADER Sentiment Score and performed SEAF Survey Vector Tagging to calculate final vector scores
• Recommended a prioritized list Intelligently Automated Suggested Actions based on the final vector scores

Jan 2021 – Mar 2021 · 2 mos

• Database Schema Design and OCR Creation
• Defined various data structures required for the application and further constructed the Entity Relation Model
• Set up the corresponding JavaScript Mongoose Database Schema for the entities defined in the relation model
• Implemented Contouring and Structural Kernels in OpenCV to detect ROIs in the Passport ID
• Utilized the Tesseract OCR Engine to extract text from the ROIs and developed a python script to decode the MRZ code

Jun 2020 – Jul 2020 · 1 mo · Mumbai, Maharashtra, India

• Sales Forecasting and Incident Prediction using Natural Language Processing
• Used data visualization tools to generate insights and performed feature engineering for the forecasting models
• Identified the anomalies in the data using One Class SVM and replaced them using Backfill Interpolation
• Used stacked predictions from LSTM and ARIMA models as final forecast and obtained an average RMSE of 233.42
• Employed Word Mover's Distance methodology on the generated Glove word embeddings to find similarity among texts
• Deployed the aforementioned method to map the types of probable incidents to the locations using safety audit details