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Keerthi KapperaKK
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Keerthi Kappera

@keerthikappera

Data engineer with hands-on ETL, Python, and analytics experience.

India
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What I'm looking for

I am seeking Data Engineer or Data Analyst roles in India where I can build scalable ETL workflows, improve data quality, and deliver analytics that inform business decisions in collaborative, growth-oriented teams.

I am a data professional with over two years of full-time industry experience as a Data Engineer and nearly three years of hands-on experience including research and volunteer roles. I specialize in Python, SQL/PL-SQL, ETL pipeline development, data validation, and analytics, and I have applied these skills to large-scale enterprise systems, research projects, and nonprofit initiatives.

I have built and deployed end-to-end data workflows (Airflow, AWS EC2), developed ML models for admission prediction and sentiment analysis, and implemented computer-vision solutions with TensorFlow and OpenCV. I am collaborative, results-driven, and focused on improving data accuracy, reliability, and actionable insights for stakeholders.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Tagliatela College of Engineering (University of New Haven) logoTH

Tagliatela College of Engineering (University of New Haven)

Master of Science, Data Science

2023 - 2025

Grade: 3.52/4.0

Activities and societies: AI research internship; projects in NLP, ML modeling, and ETL pipeline deployment.

Completed a Master of Science in Data Science with coursework and research focused on machine learning, data engineering, and analytics, graduating with a 3.52/4.0 CGPA.

DT

DVR & Dr.Hs MIC College of Technology

Bachelor of Technology, Electronics and Communication Engineering

2017 - 2021

Grade: 3.40/4.0

Activities and societies: Capstone and computer vision projects; student volunteer and technical team collaboration.

Completed a Bachelor of Technology in Electronics and Communication Engineering with foundational coursework in signal processing and embedded systems, graduating with a 3.40/4.0 CGPA.

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