Data Science with less than a year in Machine Learning & AI Solutions
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Assessing your cultural and operational fit
Data Science professional with strong foundations in machine learning, analytics, and software development. Experienced in implementing AI solutions and passionate about deriving insights from data.
Vishwakarma Institute of Information Technology
Bachelor of Technology · Information Technology
August 1, 2021 – June 30, 2025
Chatriya School and College
Higher Secondary School
June 1, 2019 – May 31, 2021
Airports Authority of India (AAI)
AI Chatbot Developer Intern
March 1, 2025 – July 1, 2025
New Delhi, Delhi, India
PROACT AI CONSULTING LLP
LLM Engineer
January 1, 2004 – June 1, 2024
India
Cricket Short Analysis
June 18, 2026 – Present
Designed a machine learning model leveraging OpenCV and NLP to analyze cricket player posture and predict shot types. Applied computer vision techniques for real-time shot classification, enhancing cricket analytics. Published research in the ISTE Journal, demonstrating the model's effectiveness in predictive sports analytics.
Samiksha
June 18, 2026 – Present
Developed a machine learning-based recommendation engine using collaborative filtering to suggest books based on user reading history. Built an interactive web platform (Flask, HTML, CSS) with social features like commenting and liking for enhanced user engagement.
TVISAA Jewellery E-Commerce Platform
June 18, 2026 – Present
Built a full-stack jewellery e-commerce platform using Next.js, Django, and PostgreSQL. Developed secure REST APIs with authentication, validation, and rate limiting. Improved performance through caching and optimized media delivery with Cloudinary. Deployed a scalable production system on Vercel and Railway using Agile practices.
IBM Data Analyst
Coursera
June 1, 2026 – Present
Python Programming Fundamentals
Unknown
June 1, 2026 – Present
Cisco CCNA Module 1
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including a recommendation engine, sports analytics, and an e-commerce platform, shows a broad interest in applying data science across different domains. The experience as an LLM Engineer and AI Chatbot Developer Intern aligns well with roles requiring innovation and continuous learning, which are positive indicators for cultural fit in a dynamic data science environment. The candidate is still pursuing a Bachelor's degree, which might indicate a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and research publication, indicating a proactive approach. Experience in developing an AI chatbot and RAG applications suggests problem-solving skills and an ability to apply theoretical knowledge to practical scenarios. The mention of Agile practices in a project indicates an understanding of modern development methodologies.