Saad Ur Rahman

I'm

About

Whether you're a fellow data enthusiast, a potential employer interested in my skills, a collaborator seeking to explore projects together, or simply curious about the world of data science, I'm delighted to have you here. Take a look around to explore examples of my work and insights into the fascinating world of data science and artificial intelligence. If you have any questions or just want to connect, don't hesitate to reach out.

Data Scientist & Analyst.

In God we trust; all others must bring data.

  • Degree 1: Master: Data Science & Analytics
  • Degree 2: Master: Artificial Intelligence
  • Position: Market Data Scientist
  • Company: Co-Cultured

I have experience working with large datasets, advanced machine learning models, Natural Language Processing, Computer Vision, U-Net architecture, Tableau, Amazon Web Services, Google Cloud Platform, SQL, and Python Programming across various projects. Please take a look at a section of my portfolio presented below.

Portfolio

Here are some of the projects I've worked on. Hover over the images to view more details.

  • All
  • Data Science
  • Machine Learning
  • Applied AI

SentinelGreen: AI Agent System

A multi-agent system for sustainable and secure data center management.

Crime Data Analytics

Analysis of crime patterns & trends and crime rate prediction in Montgomery County, Maryland.

DriveBerry

Miniature autonomous vehicle trained using reinforcement learning, OpenCV, and CNN with 100% accuracy.

COVID-19 Radiography

Detection of COVID-19, Viral Pneumonia, Lung Opacity, and Normal X-Rays using PyTorch & RasNet(CNN) with 94% accuracy.

Job Application Analysis

Tableau visualization of job market trends to optimize application strategies.

Text2Canvas

Deep learning model for text-to-image generation using diffusion models.

Recommendation Systems

Netflix movie recommendation models using NLP and Scikit-Learn.

Feature Extraction & Classification

PyTorch-based image classification on CIFAR-10 dataset with optimized models.

OpenAI DataBot

Langchain-based chatbot using Retrieval Augmented Generation for data analysis.

Kuzushiji-MNIST Classification

Classification of ancient Japanese characters using dimensionality reduction techniques and KNN.

WebBuilder 1.0

A tool for building websites with AI assistance.

Big Data Analytics

CoinMarketCap sandbox for cryptocurrency data analysis using Hadoop and MongoDB.

Certifications

Professional credentials that validate my expertise in key areas.

AWS Certified Cloud Practitioner
AWS AI Practitioner Early Adopter
Data Analytics in Tableau
Databricks Fundamentals

Facts

It takes perseverance to grow and learn. Challenges often arise from what pushes us out of our comfort zones. Embracing these challenges leads to personal and professional growth. Those who are open to learning and evolving will find themselves well-equipped to navigate the ever-changing landscape of knowledge and innovation. And that is a fact.

Projects

Years Of Experience

Graduate Degrees

Skills

Our worth is a canvas painted with the colors of our skills and values, not always clear-cut but intricately woven nonetheless.

Python 100%
Data Science/Analytics 90%
Machine Learning 85%
Pandas/Numpy95%
SQL90%
Deep Learning/Neural Networks85%
AWS/Cloud Computing80%
HTML 80%
CSS 80%
JavaScript 75%
MS Office100%
GitHub80%

Resume

Education

Master of Science in Artificial Intelligence

2025 - 2026

Indiana Wesleyan University, Merrillville, IN

Master of Data Science & Analytics

2022 - 2023

University of Maryland, College Park, MD

Bachelor of Technology

2017 - 2021

Symbiosis International University, Pune, India

Professional Experience

Market Data Scientist

Apr 2024 - Present

Co-Cultured (USA)

  • Leveraged Tableau for Data Visualization, creating sheets, dashboards, and stories to communicate the insights to the stakeholders efficiently.
  • Independently developed the Data Warehousing Infrastructure and automated the process of ETL using Python, Web Development, AWS(Lambda, S3, RDS, API Gateway, Cloudwatch), and SQL.
  • Worked closely with the team to support pilot projects and initiatives.

Graduate Teaching Assistant

Aug 2023 - Dec 2023

University of Maryland-College Park (USA)

  • Graded assignments and exams for 150+ undergraduate students in an web developement course and offered personalized feedback, resulting in a 15% increase in grades.

Social Media Analyst

Feb 2022 - Aug 2022

The Chaotic Quills (India)

  • Proposed and supervised its implementation of social media and events data storage using Excel and SQL.
  • Collaborated with a cross-functional team, streamlining the integration of technical and non-technical parts of the organization.
  • Centralized the data storage process, improving project coordination and reducing the process's time consumption by at least 30%.
  • Analyzed social media and marketing statistics, increasing the social media following by 10%.

Data Science and Business Analyst Intern

Jan 2022 - Feb 2022

The Spark Foundation (Singapore)

  • Developed and implemented ML models for predictions with feature selection algorithms with high accuracy.
  • Created data visualization graphics, translating complex data sets into comprehensive visual representations.

Data Science and Machine Learning Trainee

Feb 2021 - Sep 2021

SevenMentors (India)

  • Designed a GUI to collect college admission data and store it using Python, Tkinter, and MySQL.
  • Led a project to design predictive models for chronic kidney disease, which involved extensive data analysis and model testing to ensure accuracy and reliability

Contact

Have a question, idea, or just want to connect? Use the calendar below to schedule a meeting or the form to drop me an email. Let's collaborate!

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