Hello! I'm Husam Alshehadat

AI Engineer Data Analyst Pythonist

I'm a tech enthusiast who turns data into gold and code into solutions. Whether it's crafting slick web apps, diving into EdTech, or exploring the wild world of GenAI, I'm all about solving real-world problems with cutting-edge tech.

I freelance for select projects that push the envelope. If you've got an idea that's keeping you up at night, let's chat – who knows, we might just change the game together.

Husam (Sam) Alshehadat

My Experience

Quality Analyst

Natera Sep 2022 — current

Data Acquisition Specialist

Zuhly Technologies Feb 2024 - Jul 2024

IT Support Specialist

Al-Aqeelah Takaful Insurance Jun 2021 - Sep 2022

My Projects

Birth Metrics

Analyzing natality 2022 data to identify trends in prenatal care, maternal behaviors, and their effects on newborn health

SQL duckDB
Coffee Sales Dashboard

overview of coffee sales data, including total sales over time for different coffee types, sales by country, and top customers in interactive way.

Excel
Credit Card Customer Segmentation

Sorting bank customers into groups to understand what they have in common and to help the bank keep them happy.

Python Pandas Matplotlib Seabron Sklearn
Data Professional Survey

PowerBI
Financial Market Insights

leverages the Nasdaq Data Link API to extract and analyze financial data trends, providing insights into market behaviors and investment opportunities

Python Requests Pandas Matplotlib
Hacker News Posts

Analysing Hacker news users retentions best time to publish ...

Python Pandas
Maternal Health

Analyzing maternal health data to identify top trends in maternal health, differences between states and how that different factors may affect the embryo health

SQL sqlite
Predicting Bike Rentals

This project predicts bike rentals using a rich dataset from Washington D.C.'s Bikeshare system, blending weather, seasonal data, and machine learning to forecast demand with precision.

Python Pandas Matplotlib Seabron Sklearn
Predicting Heart Disease

The project employs a K-Nearest Neighbors classifier to predict the likelihood of heart disease in patients aiming to identify patterns and insights within patient data, such as age, sex, cholesterol levels, and exercise habits, to forecast heart disease outcomes with accuracy.

Python Pandas Matplotlib Seabron Sklearn
| Flickpick

Movie Recommendation System using PyTorch and Collaborative Filtering and trained on the MovieLens 25M dataset

Python PyTorch

My Skills

Python

Python

PyTorch

PyTorch

SQL

SQL

C++

C++

HTML

HTML

CSS

CSS

JavaScript

JavaScript

Bash

Bash

Get in Touch

Let's Create Something Amazing!

Thinking big? Got a challenge that needs a fresh perspective? I'm your guy.

Whether it's brainstorming the next big thing or tackling a tough coding puzzle, I'm always up for a good tech talk. Your ideas matter, and I'm excited to hear them

Calendly:
https://calendly.com/samdc73