Master of Information Systems Management & Speciality: Business Intelligence and Data Analytics

August 2022 - August 2023

CARNEGIE MELLON UNIVERSITY (CMU), Pittsburgh, PA

Relevant Coursework: Machine Learning, Intermediate Statistics, Unstructured Data Analytics, Econometrics, Distributed Systems, Database Management, Time Series Forecasting, Managing Analytics Projects, Advanced Business Analytics, Agile Methodologies, Decision Making Under Uncertainity

Bachelor of Technology & Electronics and Communication

August 2014 - April 2018

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY (JNTUH), Hyderabad, India

Relevant Coursework: C Programming, Data Structures & C++, Object Oriented Programming in Java, Probability Theory and Stochastic Process, Computer Networks, Computer Organization

Sr. Software Engineer, Machine Learning

November 2023 – Current

PNC Financial Services, Pittsburgh, PA

• Developed and deployed LSTM-based model to analyze time-series data, classified transactions for 10,000+ customers. Accurately predicted credit risk behaviors, enabling collections team to strategically target outstanding balances and enhance recovery rates.
• Designed and implemented credit card scoring algorithms for business and consumer segments, utilizing LightGBM for machine learning model development and successfully integrated with FICO MLX platform to optimize decision-making processes.
• Performed comprehensive analysis on scoring models by querying data from Hadoop SQL platform, handling over 4 million records.

Machine Learning Engineer

May 2023 - August 2023

cPacket Networks (Capstone Project), Pittsburgh, PA

• Spearheaded design and deployment of Knowledge Graphs (KG) using community detection algorithms, resulting in enhanced anomaly classification and strategic pathway for future graph-based ML explorations
• Optimized the extraction, transformation, and load (ETL) process from cStor to KG and facilitated the extraction of complex network insights. This resulted in a 30-hour network downtime reduction, reflecting tangible increase in operational efficiency

Systems Engineer (Machine Learning)

February 2019 - July 2022

Tata Consultancy Services - Digital (Analytics and Insights Team), Hyderabad, India, Client: Reserve Bank of India

• Built Natural Language Processing (NLP) model for automated product categorization from major E-commerce retailers, resulting in an 80% improvement in efficiency in calculating Consumer Price Index over time.
• Developed and deployed a Sentiment Analysis model, utilizing a dataset of 200,000 news articles to extract milestones discussed and overall polarity in news articles related to Reserve Bank Finance mentions.
• Designed, automated ticket prioritization of logged incidents by fine-tuning BERT Transformer, boosting productivity by 65%. Performed A/B Testing on the website to evaluate system effectiveness, led to a subsequent 10% increase in efficiency.
• Summarized long customer tickets using T5 Transformer and obtained a strong BERTScore of 0.95.
• Pioneered an incident-problem-change correlation modeling in TCS Hackathon using K-Means Clustering and converted the clustering model to an end-to-end product within 2 sprints.

Machine Learning Intern

September 2018 - January 2019

Tata Projects Limited, Raipur, INDIA

• Integral member of the Social Media Analytics team for the Government of Chhattisgarh, where I designed data models for analytical reporting. Created interactive Power BI dashboards and ad-hoc reports to support informed decision-making for relevant stakeholders