Bharat

// Data Engineer & AI Specialist

Passionate about building scalable data pipelines, implementing machine learning solutions, and driving innovation through artificial intelligence. Currently pursuing MS in Computer Science with a focus on Data Engineering & Analytics at Pace University.

24 efficiency boost
19 records processed
37 ml accuracy
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#About Me

A passionate data engineer with expertise in building scalable data pipelines, machine learning systems, and AI-driven solutions.

Education

Master of Science in Computer Science
Pace University, Seidenberg School | New York, NY
GPA: 3.78 | Expected: May 2026
Concentration: Data Engineering & Analytics
Bachelor of Engineering in Computer Science
Jyothy Institute of Technology | Bangalore, India
Graduated: May 2024

$ data pipeline tools

Apache Airflow Apache Spark PySpark Hadoop Databricks

$ cloud platforms

AWS Azure Google Cloud S3 EC2 Lambda

$ programming

Python Java SQL C++

$ ml & ai

TensorFlow PyTorch Scikit-learn Keras

$ devops & infrastructure

Docker Kubernetes Terraform CI/CD

$ visualization

Power BI Tableau Matplotlib Seaborn

#Professional Experience

My journey through various roles in data engineering, AI, and software development.

AI & Data Engineering Graduate Assistant

Pace University | New York, NY

Mar 2025 – Present
  • Engineered automated data processing pipelines using Apache Airflow and Python, implementing ETL workflows and data validation, reducing research processing time by 60% and boosting efficiency
  • Optimized administrative workflows by developing AI driven automation systems, integrating APIs, scheduling logic, & backend scripts, reducing manual processing time & increasing operational efficiency
  • Developed DevOps solutions and infrastructure automation to streamline research workflows

Quantitative Research Virtual Experience

JPMorgan Chase | Forage

July 2025
  • Analyzed loan portfolio data to develop probability of default models using statistical techniques
  • Applied dynamic programming algorithms to convert FICO scores into categorical variables for predictive modeling
  • Demonstrated proficiency in credit risk analysis and customer segmentation methodologies

Software Development Intern

Let's Be the Change | Bangalore, India

Sept 2023 – May 2024
  • Designed & deployed cross-platform data management system using Flutter & React, implementing role-based data access controls and ETL processes for 1,000+ active user records, boosting admin data processing efficiency
  • Engineered backend data infrastructure with Firebase real-time synchronization & REST APIs, automating data workflows and scaling support capacity by 40% for community transportation applications

Data Engineering Intern

Compsoft Technologies | Bangalore, India

Aug 2023 – Sept 2023
  • Built end-to-end data processing pipeline using Python and cloud technologies, processing 50k+ social media records with comprehensive ETL workflows and data optimization, achieving 85% data accuracy
  • Designed user-centric data visualization dashboard using Python visualization libraries to process and display real-time data trends from filtered datasets, enabling stakeholders to interpret data patterns and insights for decision-making

Software Engineering Intern

Alltramatic | New York, NY (Remote)

Mar 2023 – Apr 2023
  • Streamlined satellite image workflows & automated client alert systems using Selenium & SMTP protocols, reducing manual intervention & boosting alert delivery speed
  • Engineered Python scripts for automated data processing & workflow orchestration, enhancing platform reliability & geofencing-based critical event monitoring across client facing systems

#Featured Projects

Showcasing my expertise in data engineering, machine learning, and software development.

Customer Churn Prediction System

Implemented scalable data processing pipeline to predict customer patterns using automated ETL workflows, applying k-fold cross-validation for robust evaluation, enabling better customer retention strategies.

Developed cloud-based MLOps pipeline with automated retraining and monitoring systems, maintaining 90%+ accuracy through continuous data quality validation.

Machine Learning Logistic Regression KNN Gradient Boosting MLOps Python

Transportation Analytics Data Pipeline

Implemented comprehensive data processing pipeline to analyze transit patterns using automated ETL workflows, applying cross-validation for robust evaluation and enabling predictive maintenance for transportation systems.

Python Apache Airflow AWS Machine Learning Data Pipeline ETL

#Research Publications

Contributing to the scientific community through research in AI, machine learning, and computer vision.

A Deep CNN-Based Approach for Identifying Medicinal and Edible Plants in the Western Ghats Region

Atlantis Highlights in Computer Science December 2023

Fine-tuned CNN model on plant image datasets, achieving 93%+ accuracy in species classification with optimized training parameters to support breakthroughs in automated plant recognition research.

AI-Driven Driver Drowsiness Detection System

International Journal of All Research Education & Scientific Methods November 2023

Engineered real-time data processing system for transportation safety monitoring using computer vision pipelines, achieving 90% detection accuracy through automated validation frameworks, supporting public transit safety initiatives.

#Let's Build Something Amazing

Ready to collaborate on your next data engineering project or discuss opportunities? I'd love to hear from you.

Email Me

Drop me a line and I'll get back to you within 24 hours

bharath.kr702@gmail.com

Location

Currently based in the heart of innovation

New York, NY

Resume

Download my complete professional background

// let's create something extraordinary together

Ask me about Bharath
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