Kumar Ankit — Digiprofile

About

Computer Science & Engineering (Data Science) undergraduate with 8.64 CGPA and hands-on internship experience in application testing, debugging, issue investigation, REST APIs, data validation, and software development. Experienced in identifying application issues, validating expected behavior, documenting findings, and working with development teams to resolve problems. Skilled in Python, SQL, Git, Linux, API testing, integration testing, regression testing, and Agile/SDLC with strong analytical and problem-solving abilities.

Experience

AI/ML Intern

Visionet Systems Inc.

2026-07-01 – Present

Worked with Python, REST APIs, application validation, data processing, and debugging across data-driven software workflows. Investigated application issues by validating expected behavior, analyzing failures, and supporting troubleshooting activities. Supported application testing and maintained Git-based workflows and technical documentation for development and validation activities.

Data Analyst Intern

Bluestock

2026-07-01 – 2026-08-01

Worked with Python, SQL, Excel, and Power BI for data validation, analysis, reporting, and structured data workflows. Performed validation and exploratory analysis to identify inconsistencies and improve data quality for reporting.

Full Stack Developer Intern

Emertxe Information Technologies

2026-06-01 – 2026-07-01

Developed and tested application features using Node.js, Express.js, React.js, MongoDB, and REST APIs. Created and executed 50+ test cases covering API, integration, regression, and application workflows to identify defects and verify fixes. Documented issues and worked with Git, Agile practices, API testing, debugging, and SDLC workflows.

Education

B.E. Computer Science & Engineering

Acharya Institute of Technology, Bengaluru

Data Science · 2023 – 2027 · 8.64/10 CGPA

Projects

Health & Welfare Benefits & Claims Intelligence Platform

Designed structured benefits and claims workflows using domain modelling, data validation, ETL, and data warehousing concepts. Applied data governance practices covering data quality, consistency, validation, and controlled data handling across workflows. Developed testing workflows using PyTest to validate application and data-processing components.

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End-to-End Machine Learning Application

Built an end-to-end application covering data processing, model evaluation, REST API development, deployment, and CI/CD. Used Docker, AWS, and GitHub Actions to containerize, deploy, and automate application workflows.

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Scalable Multi-Tenant SaaS Boilerplate

Developed a scalable application foundation with multi-tenancy, RBAC, rate limiting, background queues, and API workflows. Focused on application reliability through structured access control, request handling, and load-testing workflows.

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Certifications

AWS Certified Cloud Practitioner

KNIΜΕ

Product Manager Simulation

Siemens

Data Science Professional

Complete Data Science/NLP/ML/DL

Udemy

GenAI with Hugging Face & LangChain

Udemy

Achievements

Smart India Hackathon

Award

College Winner

Srujana Hackathon

Award

4th

ThirdBell, Mood Indigo (IIT Bombay)

Award

5th

President, Acharya Sahitya Club

Leadership

Led and coordinated a student organization with 100+ members.