Nischitha gowda
@nischithagowda
Entry-level data engineer/analyst skilled in Python, SQL, and data pipelines.
What I'm looking for
I am an entry-level data professional with a Bachelor of Engineering in Computer Science and a strong foundation in Python, SQL, and object‑oriented programming. I have hands‑on experience in data cleaning, validation, analysis, and building data pipelines, and I take pride in producing reliable, well‑tested work.
During internships I worked on Python backend logic, data validation, debugging, and day‑to‑day data operations, gaining experience with ETL fundamentals, basic PySpark, Polars, and Azure concepts. I have completed projects including chronic kidney disease prediction, multi‑disease prediction pipelines, and an SQL‑based hospital management system that demonstrate my practical skills.
I am a quick learner who collaborates well in agile teams, uses tools like Git and Power BI, and focuses on data quality and efficient pipeline design. I am seeking an entry‑level role where I can contribute to data engineering or analysis tasks and continue to grow technically.
Experience
Work history, roles, and key accomplishments
Web Development Intern
QSpiders
Feb 2025 - Present (1 year 4 months)
Developed Python-based backend logic, performed data validation and debugging, and collaborated within an Agile team to deliver web features.
Data Operations Intern
10 Seconds
Sep 2022 - Nov 2022 (2 months)
Managed data entry, reporting, and ensured data accuracy and consistency across datasets to support operational reporting needs.
Education
Degrees, certifications, and relevant coursework
Pre-University Course (PCMB)
Pre-University Course, Science (PCMB)
Grade: 91.6%
Completed PUC with Physics, Chemistry, Mathematics and Biology, achieving 91.6% marks.
Secondary School Leaving Certificate
SSLC, General Education
Grade: 91.5%
Completed SSLC with a score of 91.5%.
Visvesvaraya Technological University
Bachelor of Engineering, Computer Science
Grade: 8.5 CGPA
Bachelor of Engineering in Computer Science with a CGPA of 8.5; coursework and projects focused on data processing, SQL, and Python-based systems.
Availability
Location
Authorized to work in
Job categories
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