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Hi πŸ‘‹, I'm Aziz Bohra

Data Practitioner πŸ§‘β€πŸ’» by Profession

  • πŸ”­ I have developed projects: CitySynapse: Real-Time Urban Data Integration, Market Momentum (Real-Time Stock Data Streaming), Online retail (Airflow End-to-End Pipeline), Wine Quality Prediction using PySpark, and COVID-19 Detection through Deep Feature Extraction (Integration with AWS)

  • πŸ‘― I’m looking to collaborate on projects which aligns with ETL Pipelining using Cloud Services, Real-Time Data Streaming, Big Data Engineering, Financial Analysis

  • πŸ“« How to reach me: Outlook

  • πŸ“„ Know about my experiences: Resume

Connect with me:

azizbohra17 azizbohra17 azease

Languages and Tools:

python c django firebase flask git hadoop linux mongodb mysql opencv pandas pytorch scikit_learn seaborn tensorflow tableau airflow gcp aws soda kafka zookeeper spark docker

Aziz Bohra's Projects

airflow-end-to-end-pipeline icon airflow-end-to-end-pipeline

This project showcases an Apache Airflow-based data pipeline integrating GCP Bucket, BigQuery, Soda, and dbt. It highlights process efficiency improvement, providing a comprehensive guide and code for scalable data management solutions

animated-screensaver-computer-graphics-project- icon animated-screensaver-computer-graphics-project-

This project is a computer graphics implementation of the Royal Mint of Spain, inspired by the popular TV show "La Casa De Papel" (Money Heist). The project is developed in C programming language and aims to create a visual representation of the iconic building.

city-synapse-real-time-urban-data-integration icon city-synapse-real-time-urban-data-integration

"Smart City Streaming" is a real-time data processing project that simulates a smart city environment. It utilizes IoT devices, Apache Zookeeper, Apache Kafka, Apache Spark, Docker, Python, AWS Cloud services, and PowerBI to cover each phase from data ingestion to processing and finally storage and visualization.

cli icon cli

GitHub’s official command line tool

data-science-bootcamp icon data-science-bootcamp

codes practiced while doing this course https://www.udemy.com/course/the-data-science-course-complete-data-science-bootcamp/

deeplearning.ai-summary icon deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

drowsiness-detection icon drowsiness-detection

This repository contains a Python-based implementation for detecting driver drowsiness using Haar Cascade files for face and eye detection, along with a deep learning model for predicting drowsiness. The system utilizes the Eye Aspect Ratio (EAR) to monitor the driver's eye openness and provide timely alerts.

f1-2021-dashboard icon f1-2021-dashboard

An interactive Tableau dashboard analyzing the intense rivalry between Lewis Hamilton and Max Verstappen during the 2021 Formula 1 season. Explore their head-to-head battles, race performances, and championship standings.

hands-on-machine-learning icon hands-on-machine-learning

The notebook is developed referring the book Oreilly' Hands-On Machine Learning with Scikit-Learn, Keras and Tensor Flow: Concepts, Tools and Techniques to Build Intelligent Systems by Aurelien Geron

home-credit-default-risk icon home-credit-default-risk

This project encompasses various stages, including data preprocessing, exploratory data analysis, and the application of advanced machine learning algorithms. By employing techniques such as feature engineering and model optimization, the HCDR project aims to enhance the accuracy and efficiency of loan default predictions

learn-python icon learn-python

πŸ“š Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

market-momentum-kafka-streaming icon market-momentum-kafka-streaming

Market Momentum showcases a real-time analytics pipeline for stock market data using Apache Kafka and a suite of AWS services. Following the less-code-more-configuration philosophy, the project emphasizes the setup and tuning of cloud resources to efficiently process, store, and analyze high-velocity financial data.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

project-big-data-concepts icon project-big-data-concepts

This project utilizes PySpark, a fast and scalable data processing framework, to develop a predictive model for wine quality.

pydata-book icon pydata-book

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

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