Hi, I'm Zaid Saudagar

(BTech CSE Graduate)

Someone curious about how things work, patient with challenges, and dedicated to continuous growth in tech. Calm, down-to-earth, and values meaningful connections over noise.

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About Me

My introduction

“I am Zaid Saudagar, a B.Tech graduate in Computer Science Engineering (AI & ML) from DYPIU. I have gained hands-on experience through internships and projects in web development and AI/ML. I enjoy building practical solutions, learning new technologies, and applying my skills to solve real-world problems effectively and efficiently.”

7.00 Aggregate
CGPA
04+ Projects
02+ Months
experience
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Experience

My Work Way

Cloud Micro Solutions, Pune, India

(Web Development & Marketing Intern)
May 2023 – Aug 2023
  • Developed and deployed 3 full-stack web apps (Flask, HTML, CSS, JS, REST APIs), improving load speed by 15%.
  • Conducted testing and performance analysis to enhance user engagement and backend efficiency.
  • Applied data-driven marketing/SEO strategies, boosting visibility by 20% and lead generation by 10%.

Education

My Academic Journey
Education

SSC 10th

Noble International School, Qatar
(High School)
- 2019
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Class 10th Summary :

  • Subjects studied: Maths, Science, English, Social Science , Hindi.

  • Scored 74.4%

  • Result: PASS

HSC 11th - 12th

Narayana E-Techno School, Bangalore
(Senior School)
- 2021
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Class 12th Summary :

  • Subjects studied: Physics, Chemistry, Maths, English, Computer Science , Hindi.

  • Scored 77.4%

Bachelors of Technology Engineering

DY Patil International University, Pune
(BTech CSE AI / ML)
2021 - 2025
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College Summary :

  • Studying core subjects of AI / ML, Deep Neural Network, High Performance Computing, System Software, Game theory, DBMS.

  • Scored an Approximate Aggregate of 7.00 CGPA till now.

Skills

My Latest Abilities

Programming

C

C++

Python

JavaScript

PHP

SQL

Web Development

Flask

HTML5

CSS

REST APIs

Chatbot Integration

AI & ML

Scikit-Learn

PyTorch

XGBoost

NLP

Prompt Engineering

Data Visualization

Pandas

NumPy

Matplotlib

Seaborn

Plotly

Streamlit

Tools & APIs

Git

Jupyter

VS Code

OpenAI

Hugging Face

Google APIs

Cloud & Database

MySQL

Firebase

GCP

AWS

IoT (Basic)

Certifications

My Verified Achievements

Python 101 for Data Science

IBM, Jun 2025

SQL and Relational Databases 101

IBM, Jun 2025

ISO Certificate in IT (C, C++, Python)

Score: 91.67%

Cloud Computing

NPTEL – Score: 78%

Introduction to IoT

NPTEL – Score: 81%

Projects

My Work Showcase

Robo Advisory Investment Management System (NIFTY 50)

This robo-advisory system analyzes historical Nifty 50 data, predicts market trends using ML models like XGBoost and SVM, and gives actionable guidance on whether to invest, wait, or hold — including recommended duration. It also features a Gemini-powered chatbot that explains predictions, risk factors, and decisions in an easy, conversational manner.

GitHub Repository

O.R.A.N.G.E.S. (Omnipresent Responsive Artificial Neural Guide for Enhanced Systems)

ORANGES is an AI-powered desktop assistant built with Groq, Hugging Face, and Cohere APIs to automate everyday computer tasks using NLP and speech recognition. It responds to voice commands, opens apps, manages files, performs web searches, and streamlines routine workflows. Designed for productivity, it learns user patterns and significantly reduces manual effort through fast, intelligent automation.

GitHub Repository

Personalized Content Recommendation System

A machine-learning based recommendation engine built using collaborative filtering and Python to analyze user behavior and deliver personalized content suggestions. It processes 10K+ interactions, predicts preferences with high relevance, and recommends what users are most likely to engage with, improving discovery and overall user experience.

GitHub Repository

Email Spam Detection System

“Email Spam Detection System is a machine learning-based platform that automatically identifies and filters spam emails. By analyzing email content, headers, and metadata, it classifies messages as spam or legitimate. This improves inbox organization, enhances security, and reduces unwanted messages, helping users focus on important emails while minimizing the risk of phishing or malicious content.”

GitHub Repository

Fingerprint Biometric Attendance System

As part of a team, we developed a fingerprint biometric attendance system using ESP32. Fingerprint identification is quick, reliable, and tamper-proof, making it ideal for tracking attendance. This system registers students and keeps track of their attendance using fingerprint technology, ensuring accuracy and efficiency. View my portfolio to see the range of my abilities!

GitHub Repository

Contact Me

Get In Touch

Contact Me

0091 95732 32309

Email

dot.zaid1123@gmail.com

Location

Pune, Maharashtra, India

PINCODE- 411048
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