
Niraj Jadhav
@nirajjadhav
I build data and machine learning systems that improve operational decisions.
What I'm looking for
At Berkeley Energy Commercial & Industrial Services, I built Python data pipelines that consolidated 30+ CSV sources into a unified dataset and automated market-intelligence reporting.
I also developed statistical tracking scripts across regional market nodes to identify pricing anomalies, historical volatility, and volume-to-price correlations for leadership review.
Through projects including Loom, Footnote, and Tether, I've built resilient payment routing, SEC filing intelligence, and delivery-margin optimization systems using Python, FastAPI, React, Redis, and machine learning.
I'm pursuing a Computer Engineering degree at D.Y. Patil College of Engineering, with coursework spanning algorithms, systems, cloud computing, machine learning, data science, and databases.
Experience
Work history, roles, and key accomplishments
Data Analytics Intern
Berkeley Energy Commercial & Industrial Services
Jan 2026 - Mar 2026 (2 months)
Built an automated Python ingestion pipeline to standardize 30+ disparate CSV sources into a unified master dataset. Developed statistical tracking scripts to detect pricing anomalies and evaluate historical volatility, with findings reviewed by the Senior Project Manager.
Education
Degrees, certifications, and relevant coursework
D.Y. Patil College of Engineering, Akurdi
Bachelor of Engineering, Computer Engineering
2023 -
Grade: 8.53 CGPA
Activities and societies: Relevant Coursework: Data Structures & Algorithms, Design & Analysis of Algorithms, Systems Programming & Operating Systems, Computer Networks & Security, Object Oriented Programming, Database Management Systems, Cloud Computing, Machine Learning, Data Science & Big Data Analytics
Pursuing a Bachelor of Computer Engineering with a CGPA of 8.53, expected to graduate in June 2027.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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