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PRIYANSHU PANCHAL

I am a Data Science Engineering student with a strong passion for AI and Machine Learning. My journey in data science has been driven by a desire to explore and innovate within this dynamic field. I have hands-on experience in web scraping, data gathering, and automating data workflows, which has solidified my technical foundation.I also enjoy diving into various algorithmic approaches and the analysis of algorithms, continually seeking to deepen my understanding and application of these techniques. I am keen on gaining more industry exposure and continuously learning new skills to stay at the forefront of technological advancements.I am excited about opportunities to collaborate with like-minded professionals and contribute to impactful AI and ML projects. Let's connect to explore the limitless possibilities within the world of data science!

  • Role

    Project(AI) Intern & Pytorch Developer

  • Years of Experience

    3 years

Skillsets

  • Scikit-learn
  • Oop
  • OpenCV
  • Os
  • pandas
  • Piglatin
  • Plotly
  • PyCharm
  • Python - 5 Years
  • PyTorch
  • NLP
  • Scrapy
  • Seaborn
  • SQL
  • TensorFlow
  • Visual Studio
  • VS Code
  • Wordpress
  • Computer Vision - 3 Years
  • Flask
  • Apache Spark
  • Bda
  • CV
  • DBMS
  • Docker
  • DSA
  • Eclipse
  • FastAPI
  • AI
  • Git
  • Git
  • Hadoop
  • Java
  • JavaScript
  • Keras
  • Matplotlib
  • ML

Professional Summary

3Years
  • Jan, 2025 - Present1 yr 2 months

    Project(AI) Intern

    SAP LABS India Ltd
  • May, 2024 - Jul, 2024 2 months

    Product Development Intern

    Golden Source Technologies International Private Ltd
  • Jan, 2023 - Apr, 2023 3 months

    Computer Vision Research Assistant

    Manipal University

Work History

3Years

Project(AI) Intern

SAP LABS India Ltd
Jan, 2025 - Present1 yr 2 months

Product Development Intern

Golden Source Technologies International Private Ltd
May, 2024 - Jul, 2024 2 months
    Engineered an automated web scraping system to extract data from 200+ webpages daily, reducing manual data collection efforts by 80%, and developed predictive ML models with 85% accuracy to analyze financial datasets and support decision-making. Streamlined a vault management system by configuring a data pipeline to achieve data privacy and security preventing data breach by 40%.

Computer Vision Research Assistant

Manipal University
Jan, 2023 - Apr, 2023 3 months
    Collaborated with a team of two members and a faculty advisor to develop and implement advanced image processing techniques, enhancing the accuracy and efficiency of 84% for class detection in SAR images. Authored and presented a research paper alongside 10+ research teams at the CVIPPR 2023 Conference, in association with ACM, held in Phuket, Thailand.

Achievements

  • Blue Marble Sponsored Study Tour Deakin University
  • Achiever Scholarship : Manipal Institute of Technology

Major Projects

4Projects

CreditCard Fraud Detection

    Explored 4 different techiniques to detect frauds using Random Forest Classifiers with an accuracy of 83%

Amazon Recommender System Analysis

    Analyzed 1000+ Amazon product reviews with interactive graphs and implemented collaborative filtering and content-based models using Python and Scikit-learn, achieving a 15% improvement in recommendation accuracy, while performing sentiment analysis with BERT at 43% accuracy.

AgriHealth Guru - Smart India Hackathon

    Led a team of 6 in a 12 hour Hackathon and devised a mobile app for detecting Plant Disease using machine learning and deep learning model and alert generation system using Arduino and Sensors

Inventory Insight - Wholesale Management System

    Designed a centralized system with backend services processing 50+ daily transactions while automating billing and transaction tracking for 15+ clients.

Education

  • BTECH Data Science and Engineering, Minor in Computer Vision

    Manipal Institute of Technology

  • 12th HSC

    Thakur Vidya Mandir High School and Junior College (2021)

Certifications

  • Agile with atlassian jira : atlassian university

  • Generative adversial networks specialization : deeplearning.ai

  • Programming with javascript : meta

  • Introduction to frontend development : meta

  • Analyze datasets and train ml models using automl: deeplearning.ai