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Hi there ๐Ÿ‘‹, I'm Muhammad Haseeb Aslam

An Undergraduate, Python Engineer, Data Scientist, & Machine Learning Engineer!

  • ๐Ÿ”ญ Working on my Artificial Intelligence project!
  • ๐ŸŒฑ Learning R, GoLang, Machine Learning, Natural Language Processing, Computer Vision, Amazon and DevOps.
  • ๐Ÿ‘ฏ Looking to collaborate with other content creators
  • ๐Ÿฅ… 2022 Goals: Contribute more to Open Source projects and Learn and write about new technologies.
  • โšก Fun fact: I love to play Chess, Sequence, and Listen to music.

๐Ÿ“ซ How to Reach Me:

Sabesan | Gmail Sabesan | LinkedIn Sabesan | Medium Sabesan | Stackoverflow Sabesan | Quora Sabesan | Telegram Sabesan | Twitter Sabesan | Skype Sabesan | Facebook Sabesan | Instagram



Languages and Tools ๐Ÿ› ๏ธ

visual studio code pycharm Jupyter Notebook python NetBeans java Dev C++ C++ javascript typescript html5 css3 json eslint Node.js SSMS MySQL latex markdown Git github terminal
windows ubuntu macos linux


Certifications ๐Ÿ…


Competencies ๐Ÿคน

  • Python Programmer.
  • BI analytics Dashboard using Power BI.
  • Data Extraction using Beautiful Soup and Selenium.
  • Exploratory Data Analysis using Pandas.
  • Data Visualization Matplotlib and Seaborn.
  • Predictive Analytics/Machine Learning (Supervised/Unsupervised) using Scikit-Learn and PyCaret.
  • Deep Learning with TensorFlow, PyTorch.
  • Natural Language Processing with GloVe, GPT-3, BERT etc.
  • Computer Vision with OpenCV, Yolo, Efficient.
  • Amazon Web Service (AWS) using Sagemaker.
  • Backend Development using Django, Flask, FastAPI, Gradio and StreamLit.

Experiences ๐Ÿ’ผ

  • Software Developer-Python Engineer at ML Sense - Writing effective and scalable Python codes, Designing and implementing Analytics Dashboards, robust applications, and Integrating user-facing elements with server-side logic.
  • Machine Learning Engineer at The Disrupt Labs - Researching, Designing, and Developing ML systems by using Machine Learning, Deep Learning, Computer Vision Techniques.
  • Data Science & Bussiness Analyst at The Spark Foundation - Hands-on experience in development using Artificial Intelligence, Machine Learning, and Deep Learning related technologies.

NOTE: Top languages don't indicate my skill level or something like that, it's a GitHub metric of which languages I have the most code on github

Haseeb's Github Stats


Muhammad Haseeb Aslam's Projects

100daysofcode-datascience icon 100daysofcode-datascience

Here I begin my #100daysofcode challenge and I will code for at least an hour every day for the next 100 days to keep myself motivated.

a-b-testing-for-shoefly.com icon a-b-testing-for-shoefly.com

ShoeFly.com is performing an A/B Test. They have two different versions of an ad, which they have placed in emails, as well as in banner ads on Facebook, Twitter, and Google.

data-science-with-python-and-r-cheetsheets icon data-science-with-python-and-r-cheetsheets

I hope this huge list of machine learning cheat sheet, data science cheat sheet, python cheat sheet and artificial intelligence cheat sheet will be helpful to you. If you like any of the cheat sheets, then please share it with all your friends and others.

dpl_sb2 icon dpl_sb2

Open source Project to learn how to make python packages

food-opearting-system-cpp icon food-opearting-system-cpp

Food Ordering System is an application which refers to food ordering systems which are generally small or medium in size. It is used by restaurants to manage the orders using a computerized system where he/she can record various transactions like purchasing of food from verity of items mentioned in menu. With this computerized system there will be no loss of orders record which generally happens when a non-computerized system is used. In addition, report module is also included in this System. If userโ€™s position is admin, the user is able to see reports of orders and customerโ€™s suggestions or comments. All these modules are able to help restaurants to manage the food orders with more convenience and in a more efficient way as compared to manual Food Ordering Systems.

free-artificial-intelligence-resources icon free-artificial-intelligence-resources

Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.

hand-gesture-control-racing-game icon hand-gesture-control-racing-game

Develop Hand Gesture Control Racing Gaming in python using OpenCV and Numpy libraries. This is Gesture controlling game which is developed in Python Hand Gesture Or paper that is used for Steering . with the help of this project, you will get experience of Virtual Drive like Same in real.

heart-disease-predition-using-decision-tree icon heart-disease-predition-using-decision-tree

Predicts the chances of getting heart disease in advance. In this System, a heart disease prediction using machine learning is developed using KNN and decision Tree algorithm for guessing the risk level of heart disease.

hurricane-analysis icon hurricane-analysis

You will work to write several functions that organize and manipulate data about Category 5 Hurricanes, the strongest hurricanes as rated by their wind speed.

iris-predition-using-decision-tree icon iris-predition-using-decision-tree

In this task, we will Create the Decision Tree classifier and visualize it graphically on the dataset "Iris" and try to find out if we feed any new data to this classifier, it would be able to predict the right class accordingly.

library-management-project-python icon library-management-project-python

A library management system keeps track/record of the books present in the library. It is an important piece of software which is a must at schools, colleges and universities. We will build a library management system using Tkinter, pymysql and some more libraries to make it interactive.

machine-learning-with-python-ibm icon machine-learning-with-python-ibm

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what youโ€™ll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more. 3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.

numpy_tasks icon numpy_tasks

By reading the image as a NumPy array ndarray, various image processing can be performed using NumPy functions.

power-bi-dashboards icon power-bi-dashboards

This repository contains all the tasks/Dashboards with Power BI for Different Problems. A Power BI dashboard is a single page, often called a canvas, that uses visualizations to tell a story.

python-machine-learning-ai-mega-course icon python-machine-learning-ai-mega-course

Ready to explore machine learning and artificial intelligence in python? This python machine learning and AI mega course contains 4 different series designed to teach you the ins and outs of ML and AI. It talks about fundamental ML algorithms, neural networks, creating AI chat bots and finally developing an AI that can play the game of Flappy Bird.

python-syntax-medical-insurance-project icon python-syntax-medical-insurance-project

Suppose you are a medical professional curious about how certain factors contribute to medical insurance costs. Using a formula that estimates a personโ€™s yearly insurance costs, you will investigate how different factors such as age, sex, BMI, etc. affect the prediction.

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