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Hi there! Welcome to my Github Profile! šŸ‘‹

I am Ahmad, an Associate Data Scientist at Cognizant Technology Solutions, stationed in Hyderabad, India. My enthusiasm lies in machine learning, data science, and unveiling insights from data to drive informed decisions.

  • šŸ”­ Iā€™m currently working on enhancing ML and NLP applications at Cognizant, while also dabbling in some personal projects involving deep learning and computer vision.
  • šŸŒ± Iā€™m on a continuous learning pathway, currently delving deeper into deep learning technologies and Azure Databricks.
  • šŸ‘Æ Iā€™m open to collaborating on machine learning and data science projects. I am particularly interested in projects that address real-world problems and have a positive impact.
  • šŸ’¬ Feel free to ask me about machine learning, data preprocessing, model deployment or anything related to data science. I'm here to help!
  • šŸ“« Reach out to me on LinkedIn or drop me a message on my Telegram.

In my journey so far, I've honed my skills in various programming languages and tools such as Python, R, SQL, TensorFlow, PyTorch, and Azure, to name a few. My professional experience ranges from creating interactive data dashboards to designing efficient deep learning models. When I step away from the data, you'll find me indulging in continuous learning or assisting the community in unraveling the beauty of data science.

Feel free to dive into my Portfolio to explore my projects, skills, certifications, and accolades in more detail.

Ahmad Mujtaba's Projects

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

image-steganography-tool icon image-steganography-tool

The Image Steganography Tool is a Python application that allows you to hide secret messages within image files using the Least Significant Bit (LSB) method. This tool provides a user-friendly graphical interface to encode and decode messages, making it simple to secure and share sensitive information.

irisdetection icon irisdetection

A walkthrough demonstrating how to build a keypoint detection model for iris detection

julia100exercises icon julia100exercises

A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).

leetcode icon leetcode

Play Leetcode with different programming language

m-pact icon m-pact

A one stop shop for all of your activity recognition needs.

mango-leaf-disease-prediction icon mango-leaf-disease-prediction

An interactive machine learning project for predicting mango leaf diseases using a Flask web application and a Tkinter-based GUI. Upload an image of a mango leaf to get instant disease classification results.

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

opencv icon opencv

Python OpenCV Projects and Notes.

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pygta5 icon pygta5

Explorations of Using Python to play Grand Theft Auto 5.

regression-templates icon regression-templates

I am sharing Python code for Machine Learning Regression algorithms. You just need to copy and paste code from here and modify the code according to your data.

roadster icon roadster

In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.

super-market-sales-prediction icon super-market-sales-prediction

The "Super Market Sales Prediction" project is a machine learning-based application that predicts super market sales based on various features such as branch, city, customer type, gender, product line, unit price, quantity, tax, cost of goods sold, gross income, and customer rating.

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