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Building AI & Data Solutions
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Building AI & Data Solutions
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malik8154/README.md

Hi there 👋 I'm Malik M Shahmeer Rashid

🚀 Aspiring AI Engineer | Turning Data into Decisions

I’m building a strong foundation in data analysis, programming, and problem-solving to prepare for an advanced career in Artificial Intelligence. My work blends Python, statistics, and machine learning with practical, real-world datasets to develop insights and solutions.

🔭 What I’m Working On

Developing AI-driven applications with a focus on machine learning and data science.

Building and training models for predictive analytics, classification, and recommendation tasks.

Strengthening skills in Python, NumPy, Pandas, Matplotlib, and Scikit-learn to design efficient AI solutions.

Gaining practical experience in end-to-end workflows: data preprocessing, model development, evaluation, and deployment.

Creating ML Interview Q&A Bot – a Python-based bot that answers machine learning interview questions using semantic search with FAISS and sentence-transformers, and features an interactive Streamlit UI.

🌱 What I’m Learning

Core AI and machine learning concepts (Supervised & Unsupervised learning)

Deep learning frameworks (TensorFlow, PyTorch)

Data engineering & backend integration for AI projects

Semantic search, embeddings, and vector databases for real-world AI applications

💬 Ask Me About

Python for data science

Data preprocessing & visualization

Game development with Python (Pygame)

Setting up projects for AI readiness

📫 How to Reach Me

LinkedIn: www.linkedin.com/in/malik-muhammad-shahmeer-rashid

Email: [email protected]

GitHub: github.com/malik8154

Popular repositories Loading

  1. AICP-Internship-Week1-NumPy-Exercises AICP-Internship-Week1-NumPy-Exercises Public

    Solutions to Week 1 NumPy exercises from the AICP Internship, covering array creation, random number generation, matrix operations, and statistical analysis.

    Jupyter Notebook

  2. AICP-Internship-Week2-Pandas-Exercises AICP-Internship-Week2-Pandas-Exercises Public

    Week 2 AICP Internship tasks focusing on Pandas for data manipulation, filtering, grouping, and aggregation.

  3. AICP-Internship-Week3-Data-Visualization AICP-Internship-Week3-Data-Visualization Public

    Week 3 AICP Internship tasks using Matplotlib and Seaborn to create visualizations for datasets, including bar charts, scatter plots, and histograms.

  4. AICP-Internship-Week4-McDonalds-EDA AICP-Internship-Week4-McDonalds-EDA Public

    Week 4 AICP Internship exercises focusing on cleaning raw datasets, handling missing values, and performing exploratory data analysis (EDA).

  5. AICP-Internship-Week5-Instagram-EDA AICP-Internship-Week5-Instagram-EDA Public

    Analysis of Instagram engagement metrics from Week 5 of the AICP Internship, including content performance and audience interaction insights.

  6. AICP-Internship-Week6-BirthRate-EDA AICP-Internship-Week6-BirthRate-EDA Public

    Week 6 AICP Internship project implementing predictive modeling techniques for forecasting trends using Python and scikit-learn.