sripradha ravi
@sripradharavi
Data engineer-in-training skilled in ETL, Python, cloud, and data warehousing.
What I'm looking for
I am a data-focused engineer-in-training with hands-on experience building ETL pipelines, designing schemas, and optimizing data workflows across Teradata and Snowflake. I combine strong programming fundamentals in Python and SQL with practical cloud exposure on AWS.
During my internship at Cognizant, I supported development and optimization of ETL processes, performed data validation and performance tuning, and contributed to basic cloud operations—improving data reliability and load efficiency.
My projects span fraud detection using unsupervised learning and NLP (BERT, TF-IDF), a Random Forest–based myocardial infarction prediction app with a Flask web interface, and a smart retail inventory system with normalized schema design, indexing, and deployment on AWS.
I bring a solid academic foundation in computer science, strong core concepts (DSA, OOP, OS), and a practical mindset for building scalable, production-ready data solutions. I seek roles where I can deepen data engineering skills and contribute to data-driven decision making.
Experience
Work history, roles, and key accomplishments
Supported development and optimization of ETL pipelines using Python and SQL to load and manage data in Teradata and Snowflake; assisted with schema design, data validation, performance tuning, and basic AWS cloud operations.
Education
Degrees, certifications, and relevant coursework
JSS Academy of Technical Education, Bengaluru
Bachelor of Engineering, Computer Science and Engineering
2021 -
Grade: CGPA-8.75
Pursuing Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.75.
BMS PU College for Women, Bengaluru
Pre-University Certificate, Pre-University
2019 - 2021
Grade: 97.5%
Completed Pre-University (PU) education with a percentage of 97.5%.
Samved School, Bengaluru
Secondary School Certificate, Secondary Education
2018 - 2019
Grade: 88.6%
Completed secondary education with a percentage of 88.6%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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