About Me

About

I am a Data Science graduate student at the University of Delaware with hands-on experience in machine learning, time-series modeling, analytics, and data engineering. I enjoy building predictive systems that turn raw data into clear, practical decisions.

My work spans forecasting, computer vision, BI dashboards, API-connected systems, and operational analytics. I am especially interested in roles where I can combine technical depth with problem solving and business impact.

Education

Master's in Data Science, University of Delaware

GPA

3.8 / 4.0

Focus Areas

Machine Learning, Data Engineering, Analytics, Computer Vision

Open To

Data Science, ML, Analytics, and Data Engineering roles

Core Skills

Python SQL R Java Scikit-learn TensorFlow PyTorch Pandas NumPy Spark Databricks Power BI Tableau MySQL PostgreSQL MongoDB REST APIs AWS Docker GitHub

Work Experience

01/2026 - 05/2026

Student AI Research Intern, Diamond Technologies & University of Delaware

University-industry collaboration

  • Developed an AI-powered IT ticket assignment platform using NLP, BM25, and Sentence Transformers (MiniLM) to analyze 2,038 historical service records.
  • Matched tickets with technicians based on expertise, workload, SLA requirements, ticket complexity, experience, and queue familiarity.
  • Built a scalable Python machine learning pipeline with Pandas, PostgreSQL, and Streamlit for feature engineering, recommendations, analytics, and BI reporting.
  • Delivered interactive dashboards for 500+ open tickets and established automated testing, CI/CD validation, and performance benchmarking.
03/2024 - 06/2024

Data Analyst, 360 DigiTMG

Hyderabad, India

  • Supported predictive analytics and data-driven decision-making by developing forecasting models, statistical analyses, and actionable insights for operational efficiency and inventory planning.
  • Built an end-to-end predictive analytics pipeline for medical inventory optimization using Pandas, NumPy, and Scikit-learn, improving forecasting accuracy by 14% and reducing inventory wastage by 11%.
  • Performed data preprocessing and quality validation, including missing value treatment, duplicate removal, outlier detection, and date standardization.
  • Wrote SQL queries to extract, join, and transform structured datasets, then developed dashboards and visualizations to communicate insights to stakeholders.

Experience

01/2026 - 05/2026

Student AI Research Intern, Diamond Technologies & University of Delaware

Developed an AI-powered IT ticket assignment platform using NLP, BM25, Sentence Transformers, PostgreSQL, Streamlit, and Python.

  • Analyzed 2,038 historical service records to recommend technician assignments
  • Delivered dashboards for 500+ open tickets with ranking and workload-balancing logic
  • Added automated testing, CI/CD validation, and performance benchmarking
03/2024 - 06/2024

Data Analyst, 360 DigiTMG

Built forecasting models, dashboards, and statistical analyses to support operational efficiency and medical inventory planning.

  • Improved forecasting accuracy by 14% from 18.6% MAPE to 16.0%
  • Reduced inventory wastage by 11% through better prediction and planning
  • Used SQL, Pandas, NumPy, Scikit-learn, and data visualization for reporting

Education

08/2024 - 05/2026

University of Delaware

Master's in Data Science, Newark, Delaware, USA

  • GPA: 3.8 / 4.0

Certifications & Awards

AWS Data Engineering on AWS Foundations certificate

Data Engineering on AWS - Foundations

AWS Training & Certification

Completed: February 24, 2026

NVIDIA certificate for Introduction to Transformer-Based Natural Language Processing

Introduction to Transformer-Based Natural Language Processing

NVIDIA Certificate of Competency

Issued: February 26, 2026

AWS Data Engineering on AWS A Data Warehouse Solution Includes Labs certificate

Data Engineering on AWS - A Data Warehouse Solution

AWS Training & Certification

Completed: April 14, 2026

Google Cloud Certified Cloud Digital Leader certificate

Google Cloud Certified - Cloud Digital Leader

Google Cloud

Issued: December 28, 2022

Expiration: December 28, 2025

Creativity and Originality Award hackathon certificate

Hackathon Winner - Creativity and Originality Award

Hen Street Hacks 2025

Team Mooove Makers

Awarded: August 15, 2025

Projects

AI Automation

Intelligent Ticket Assignment and Workload Management

Designed an AI-powered ticket assignment system integrated with the Autotask REST API to automate technician allocation.

View Repo

Machine Learning

Wildfire Prediction Using Machine Learning

Built a Random Forest model with 92% accuracy and 0.90 ROC AUC using CAL FIRE and NOAA data to predict wildfire occurrences.

View Repo

Business Intelligence

Sales and Logistics Dashboard

Built an interactive Power BI dashboard to visualize sales, profit, delays, regional trends, and pricing opportunities.

View Repo

Computer Vision

Real-Time Vehicle Classification and Counting

Developed a YOLOv11 and ByteTrack-based system with 89.5% accuracy for real-time multi-object tracking in urban traffic.

View Repo

Research

Auto Number Plate Recognition System

Built an end-to-end ALPR system using YOLOv8 and EasyOCR, achieving 95% character accuracy across 15,000+ images.

View Repo