About Me
Professional Journey
Advancing my knowledge in data science, machine learning, and big data analytics.
Highlights:
- Coursework: Machine Learning, Big Data Management, Data Mining, Natural Language Processing, Research Methods for User Studies, Predictive Analytics
- GPA: 3.75/4.0
- Research: Predicting early stage diabetic neuropathy and Glaucoma using Vision Transformers
- Member of USC Graduate Data Science Society
Designed and optimized robust data pipelines, built scalable data platforms, and integrated diverse data sources for enterprise systems.
Highlights:
- Built ETL pipelines to process 6 TB/month of security logs, ensuring audit compliance and structured logging
- Developed REST data services to expose analytics, improved fault tolerance, and delivery efficiency by 40% to business users
- Tuned Spark SQL to reduce query runtimes by 30% across enterprise reporting workloads
- Coordinated architecture reviews and deployments with Product and DevOps teams, and earned Pinnacle Award and two SPOT Awards for the automation efforts
Built a strong foundation in computer science, algorithms.
Highlights:
- Coursework: Algorithms, Cryptography, DBMS, Operating Systems, Artificial Intelligence, Software Architecture, Object-Oriented Design
- GPA: 9.0/10
- Research: Global Warming Prediction using Ensemble Machine Learning, Smart Waste Management using CNN, DDoS Attack Prevention using Advanced Neural Network
- Active member of SRM Coding Club and IEEE Student Branch
Skills & Expertise
Languages:
Data Engineering:
AI & ML:
Backend & Cloud:
Concepts:
Professional Certifications
AWS Data Engineer Associate
Amazon Web Services
AWS Cloud Practitioner
Amazon Web Services
AWS Solution Architect
In Progress
Let's Connect
I'm always open to discussing new opportunities, collaborations, or just having a conversation about data engineering, machine learning, and technology. Feel free to reach out!