Skip to content
View ehtisham-sadiq's full-sized avatar
๐ŸŽฏ
Focusing
๐ŸŽฏ
Focusing

Highlights

  • Pro
Block or Report

Block or report ehtisham-sadiq

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
ehtisham-sadiq/README.md

Hello! ๐Ÿ˜Š I'm Ehtisham Sadiq

A proficient Data Scientist and Machine Learning Engineer with expertise in programming languages, ML frameworks, and data analysis. ๐Ÿš€ With a deep understanding of supervised and unsupervised learning techniques, I'm committed to delivering top-notch results.

Professional Achievements and Projects

Collection Agency Software Development

  • Designed and implemented the backend of collection agency software from scratch, resulting in a 1200% increase in business revenue.
  • Led the development of an automated data intake pipeline to handle diverse data.
  • Integrated smart AI solutions to streamline business operations.

Microservices-Based Architecture Development

  • Conceptualized and developed a microservices-based architecture utilizing Python, FastAPI, and SQLAlchemy, resulting in significant optimization of system operations and improved efficiency.
  • Took complete responsibility for managing databases, employing PostgreSQL to create materialized views, leading to optimized database performance.

Debt Collection SaaS Platform

  • Designed and implemented a versatile, multi-tenant Software-as-a-Service (SaaS) platform tailored to diverse debt collection agencies' needs.
  • Developed a robust system to facilitate debt collectors' operations, enhancing operational efficiency.

Data Analysis Tool for Wind Energy

  • Designed and implemented a visual dynamic data pipelining tool for data analysis in the wind energy field.
  • Utilized AWS Sagemaker and related services to deploy multiple models.
  • Developed unsupervised and rule-based anomaly detectors for time series data from wind farms.

Technologies and Tools

  • Languages: Python, HTML/CSS, JavaScript, SQL
  • Frameworks: TensorFlow, Pytorch, Keras
  • Tools: Pandas, NumPy, Seaborn, Matplotlib, Plotly, Streamlit, Heroku
  • Technologies and Platforms: NLTK, spaCy, Gensim, Flask, Django, Selenium, MongoDB, RESTful APIs, CI/CD Pipelines, MLOps, Hugging Face, LangChain, AWS Sagemaker, Google Cloud Platform (GCP), OpenAI, ChatGPT

Soft Skills

  • Problem-solving, Critical thinking, Collaboration, Adaptability, Communication, Self-motivation, Attention to detail, Teamwork, Skill Development, Learning

Let's connect and explore groundbreaking possibilities in technology together. I'm eager to collaborate on meaningful projects and create innovative solutions that redefine the realm of AI and Data Science.

Thank you for visiting my GitHub profile. Let's work together to drive impactful advancements! ๐Ÿค

Feel free to connect with me on GitHub and appreciate my work!

๐ŸŒ Socials:

LinkedIn Twitter

๐Ÿ’ป Tech Stack:

Java Python R Heroku AWS Google Cloud Anaconda DjangoREST Django Flask FastAPI MongoDB MySQL Postgres Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow LINUX Docker Postman Kubernetes Notion

๐Ÿ“Š GitHub Stats:




Pinned

  1. Data-Structure-And-Algorithms-using-Python Data-Structure-And-Algorithms-using-Python Public

    "Data-Structure-And-Algorithms-using-Python" is a comprehensive collection of data structures and algorithms implemented in Python.

    Jupyter Notebook 4 1

  2. 100-days-of-CodeChallenge 100-days-of-CodeChallenge Public

    This repository contains 100 days of leetcode questions and their solutions.

    Python 3

  3. 100-Days-of-Machine-Learning 100-Days-of-Machine-Learning Public

    "100-days-of-machine-learning" is a repository containing a comprehensive guide to Machine Learning, covering the basics and advanced topics, with daily exercises and real-world examples for 100 days.

    Jupyter Notebook 6 1

  4. 30-Days-of-Python-Programming 30-Days-of-Python-Programming Public

    "30days of python programming" is a repository that offers a 30-day program to learn Python with daily tutorials and exercises to improve your skills from beginner to intermediate level.

    3 1

  5. NLP-Deep-Learning-Fundamentals NLP-Deep-Learning-Fundamentals Public

    "NLP-Deep-Learning-Fundamentals" is a repository that provides comprehensive tutorials, code examples and projects to help beginners understand the fundamentals of deep learning for natural languagโ€ฆ

    Jupyter Notebook 1