Master of Science in Data Science

Relevant Courses: Machine Learning, Statistical Data Mining, Python Programming for Data Science, Bayesian Networks in R, Data Models Query Lang. Club Membership: Women\'s Empowerment and Leadership Club.

PG Diploma in Advanced Computing

Bachelor of Engineering in Computer Science

Graduate Research Assistant

• Coordinated with 5 team members to apply sports analytics on NFL games and predicted punt return yardage to help Buffalo Bulls gain most yardage.
• Presented on AWS/NFL’s Big Data Bowl competitions held from year 2019 to 2022.

Data Scientist

• Collaborated with a US-based banking company to provide Data Science expertise.
• Classified emails based on text for appreciation emails using CRF and Named entity recognition implementing Bidirectional LSTM-CRF.
• Facilitated a team of 6 in retaining a South Africa based banking client using automation and data science skills worth $2m.
• Served as an interviewer for Infosys and mentored 10 new team members via knowledge transfer sessions.

RPA Developer

• Automated multiple banking processes on ABot (ABSA Bot) platform leveraging python and reduced clients’ manual work by 95% which resulted in approximately $30 million in sales in 2019.
• Coordinated with stakeholders to conduct requirement gathering, use case feasibility study and prepared process definition documents (PDD), and solution design documents (SDD) for 10+ processes to automate them 100%.
• Implemented analysis, design, coding, system testing, integration, and UAT in the RPA platform.
• Extracted text from PDF files deploying Optical Character Recognition for better performance and security in banking systems.

Machine Learning Engineer

• Produced and deployed client-based Interactive advertisement application utilizing object detection and recognition.
• Brainstormed and managed a team of 2 to train models on more than 10k images extracted from live video
advertisements using multiple techniques such as Dlib, OpenCV, TensorFlow and YOLO Darknet to detect customized objects and to make them user interactive.
• Researched and Optimized models using various techniques such as early stopping, stochastic gradient descent and different hyperparameter tuning improving accuracy by ~85% with a greater number of detections.
• Developed deep learning photo caption generator using Convolution neural network and LSTM to generate captions for unseen images.