
Daruri Akash
@daruriakash
Data engineering intern at Xelron AI building backend services; created a retail ETL platform processing 100K+ records.
What I'm looking for
At Xelron AI, I’m developing AI-powered applications and backend services, working with REST APIs, databases, and Generative AI technologies.
On Digital KVK, I analyzed and processed 200+ agricultural datasets with Python and Pandas. I built automated monthly reporting workflows that reduced manual reporting effort by more than 70 hours.
I also developed a crop health prediction model that achieved 78% validation accuracy, and created visualizations and analytical reports to communicate agricultural trends and model results.
For my Scalable Retail ETL Analytics Platform, I built a pipeline using PySpark and Databricks to process 100K+ records. I implemented incremental processing and SCD Type 2, and used Apache Airflow and dbt to support data quality checks and analytics-ready tables.
Experience
Work history, roles, and key accomplishments
Software Development Engineer Intern
Xelron AI
Jul 2026 - Present (3 months)
Developing AI-powered applications and backend services using modern software engineering practices. Working with REST APIs, databases, and Generative AI technologies to build production-ready solutions.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Information Technology, Kalyani
B.Tech, Computer Science & Engineering
2023 -
Pursuing a B.Tech in Computer Science & Engineering, expected to graduate in 2027.
Udemy
Data Science Complete Bootcamp, Data Science
2025 - 2025
Completed the Data Science Complete Bootcamp from June to September 2025.
Internshala
Data Structures & Algorithms, Data Structures & Algorithms
2024 - 2024
Completed the Data Structures & Algorithms training from January to April 2024.
Acharya Junior College
Senior Secondary (XII), Senior Secondary
Grade: 92%
Completed Senior Secondary (XII) with 92%.
St. Joseph’s English School
Secondary (X), Secondary
Grade: 90%
Completed Secondary (X) with 90%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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