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Prabhjot Singh's AI & ML Resume

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0% found this document useful (0 votes)
66 views1 page

Prabhjot Singh's AI & ML Resume

Uploaded by

vogekox666
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Prabhjot Singh +91-8607682303

CSE (AI & DS) prabhjotchugh0805@gmail.com


Computer Engineering Student GitHub | Portfolio
Kurukshetra University LinkedIn

Education
B.Tech CSE (AI & DS) , Kurukshetra University C.G.P.A - 9.0 2020 - 2024
Senior Secondary, CBSE Board Percentage - 96.2% 2018
Secondary, CBSE Board C.G.P.A - 10.0 2016

Experience
• Machine Learning Intern - iNeuron.ai 07/2023 – 08/2023
– Utilized a balanced dataset (3916 poisonous & 4208 edible instances) to reveal precise attribute correlations.
– Achieved a standout 100% accuracy through adept data preprocessing and model construction.
– Uncovered complex patterns for actionable insights, achieving 100% precision, recall, and F1 score.
– Tech Stack : Python, Flask, HTML, CSS, Machine Learning Algorithms, Python Libraries
• Artificial Intelligence Intern - CodeClause 04/2023
– Led development of advanced deep learning models for image analytics, boosting object detection accuracy by 25%
and reducing false positives by 20%.
– Created machine learning algorithms in handwriting recognition, resulting in 40% higher image recognition accu-
racy and enabling real-time analysis of 1,000+ images per second.
– Tech Stack : Python, TensorFlow, Keras, Artificial Intelligence, Artificial Neural Networks.

Projects
– Genius AI (SaaS App) (GitHub)
∗ Elevated engagement by 25% with a 5-service SaaS app, user authentication, and a game-changing AI chatbot.
∗ Tools: React, Next.js, Shadcn/UI, Prisma, MySQL, OpenAI v4, Replicate AI

– MNPJ Creations eCommerce Website (GitHub) Live Link


∗ Crafted an e-com site with admin panel, integrated payments; serving as catalogue, slashing paperwork by 75%.
∗ Tools: Django, Python, HTML, CSS, SQL
– Mushroom Classification (GitHub) Live Link
∗ Built a Machine Learning model for Mushroom Classification, achieving 100% accuracy.
∗ Tools: Python, Flask, HTML, CSS, Machine Learning Algorithms, Python Libraries

Technical Skills
– Programming: C/C++, Python, HTML, CSS, JavaScript, Bootstrap
– Frameworks/Libraries : Django, NumPy, Pandas, Matplotlib, Seaborn, Sympy, React.js, Node.js, Next.js
– Database : MySQL, MongoDB, Prisma
– Skill Set : DSA, OS, DBMS, OOPs, AI & ML, ANN, DAA, Big Data Analytics
– Tools : Power BI, Tableau, Git/GitHub, Microsoft Excel, VS Code

Coding Profiles
– LeetCode - prabhjotschugh 2.5 Star (Rating : 1596)
– CodeChef - prabhjotschugh 3 Star (Rating : 1719)
Achievements
– Accepted to Amazon ML Summer School ’23 from a pool of 25,000+ candidates. 2023
– University Rank 1 in CSE (AI & DS) Department in Kurukshetra University in the first year. 2021
– District Topper - 2nd Rank in Panipat district in AISSCE-2018 exam. 2018
– Gold Medal recipient of 7 consecutive merit scholarships with exceptional academics. 2018

Certifications
– Data Analytics (Google) – C Language (IIT Bombay)
– Python for Everybody - Specialization (University of Michigan) – Machine Learning with Python (IBM)

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