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Vinod Awati

Vinod Awati

AI & Data Science Graduate • AI/ML | Generative AI | Data Analytics | Python | SQL

Talent
BengaluruMember since September 28, 2026
Machine LearningDeep LearningComputer VisionOpenCVMediaPipeGenerative AIEDAPandasNumPyData CleaningPower BIPythonSQL
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Machine LearningDeep LearningComputer VisionOpenCVMediaPipe

About

B.E. graduate in Artificial Intelligence & Data Science (2026) with internship experience in AI & Data Science and Software Development, plus a GenAI-powered data analytics job simulation.

Applies

Python, SQL, Machine Learning, and Data Analytics to build practical AI-driven applications, including an agentic AI data analyst, an AI career platform using Generative AI and LLM APIs, and a real-time sign language translator built on computer vision. Experienced in Agile, sprint-based delivery, API integration, debugging, and code reviews. Seeking entry-level AI/ML, Generative AI, and Data Analyst roles.

Experience

Software Development Intern at PAT Technologies Private Limited (Edutainer) (2026-02 – 2026-05)

  • Analyzed application data and requirements across the SDLC, applying structured problem-solving to debug issues and improve data accuracy and code quality.
  • Collaborated with a cross-functional Agile team on sprint-based delivery, API integration, and feature refinement.
  • Participated in code reviews and testing, identifying defect and performance patterns to support continuous improvement.
  • Prepared technical and process documentation to communicate findings to team members.

AI & DS Intern at EDU TANTR (2025-10 – 2026-01)

  • Completed an AI & Data Science internship program with practical exposure to assigned tasks and professional work settings.
  • Applied supervised machine learning and statistical analysis to real-world industry datasets.
  • Performed data-driven testing and delivered a full project report.

GenAI Powered Data Analytics Job Simulation at Forage (2025-12 – 2025-12)

Virtual job simulation (not an employment internship)

  • Performed exploratory data analysis and risk profiling to understand customer delinquency patterns.
  • Applied AI to predict delinquency and support data-driven decision-making.
  • Produced business reporting and data storytelling for a collections strategy, and implemented an AI-driven collections strategy.

Education

B.E. in Artificial Intelligence & Data Science – Don Bosco Institute of Technology (2026)

Diploma in Mechatronics – GTTC (2023)

SSLC – SVEM School

Skills

AI & Data Science GraduateAI/MLGenerative AIData AnalyticsPythonSQL

Reviews

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