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About Me

A passionate AI/ML Engineer  With over 2 years of proven experience, I specialize in building AI-powered solutions, developing intelligent models, and leveraging data-driven insights to drive innovation.

Proficient in Python, I hold an Associate Certification in Python Programming and have hands-on expertise in NLP, Generative AI, and Deep Learning. My technical skill set extends to frameworks like TensorFlow, PyTorch, Scikit-Learn, and Hugging Face, enabling me to design, train, and optimize ML models.

🔹 Machine Learning & AI

  • Expertise in Supervised & Unsupervised Learning, Deep Learning, and Generative AI.

  • Experience in NLP, Computer Vision, and Recommendation Systems.

  • Model training, evaluation, and optimization using advanced ML techniques.

📊 Data Science & Analytics

  • Data preprocessing, feature engineering, and exploratory data analysis (EDA).

  • Strong knowledge of Statistics, Probability, and Model Evaluation Metrics.

  • Proficiency in Python (pandas, NumPy, Matplotlib, Seaborn, SciPy) for data analytics.

🐍 Python Development & MLOps

  • Developing scalable AI solutions and APIs using FastAPI, Flask, and Django.

  • Deploying ML models using Docker, Kubernetes, and AWS for cloud-based AI applications.

  • Implementing CI/CD pipelines for model deployment and version control.

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Certifications and Achievements 

few out of many, rests are on my linkedIn

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Advanced Data Science

  • Describe Python Basics including Data Types, Expressions, Variables, and Data Structures.

  • Apply Python programming logic using Branching, Loops, Functions, Objects & Classes.

  • Demonstrate proficiency in using Python libraries such as Pandas, Numpy, and Beautiful Soup.

  • Access web data using APIs and web scraping from Python in Jupyter Notebooks.

Google Data Analytics

Course Certificates Completed:

Share Data Through the Art of Visualization

Foundations: Data, Data, Everywhere

Analyze Data to Answer Questions

Process Data from Dirty to Clean

Data Analysis with R Programming

Prepare Data for Exploration

Ask Questions to Make Data-Driven Decisions

Google Data Analytics Capstone: Complete a Case Study

Power-BI Analyst

This certification, such as the Microsoft Certified: Data Analyst Associate, demonstrates expertise in data visualization, model creation, and analytical capabilities within the Power BI environment. It serves as a recognized credential for professionals seeking to enhance their data analytics skills and is widely acknowledged in the industry, showcasing one's ability to extract meaningful insights from data using Microsoft Power BI tools.

Worked With the Best

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©2023 by Aditech.
created by : Adil Maqsood

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