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mohdwalid253/README.md

Hi, I'm Mohd Walid Ansari 👋

🎓 Mathematics Graduate | 📊 Data Analyst & Data Scientist
💡 Strong interest in data analysis, statistics, and machine learning

🔧 Technical Skills

  • Programming: Python
  • Data Analysis: SQL, Excel, Pandas, NumPy
  • Visualization: Power BI, Matplotlib, Seaborn
  • Machine Learning: Linear Regression, KNN Regression, Decision Tree, SVM, Random Forest (scikit-learn)
  • Concepts: EDA, Statistics, Data Cleaning
  • Tools: GitHub, Jupyter Notebook

📚 Learning & Academic Exposure

(Conceptual understanding / coursework level)

  • Neural Networks
  • Deep Learning fundamentals
  • Natural Language Processing (NLP)
  • Generative AI concepts
  • Unsupervised Learning (Clustering basics)

📂 Featured Projects

  • 🔹 Exploratory Data Analysis (EDA) – Data cleaning, visualization, and insights using Python
  • 🔹 Regression Model Comparison – Linear vs KNN Regression evaluated using RMSE, MAE, and R²
  • 🔹 Power BI Dashboard – Interactive dashboard for business performance analysis

👉 Check my repositories to explore project code and notebooks.

🎯 What I'm Looking For

  • Entry-level Data Analyst / Associate Data Analyst roles
  • Internships in Data Analytics / Data Science

📫 Connect with Me

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  1. sales-supermarket-analysis-power-bi sales-supermarket-analysis-power-bi Public

    Sales analysis project using Power BI and Excel to track KPIs, identify revenue drivers across segments and payment modes, and generate a 15-day sales forecast for demand planning.

  2. asiacup-data-analysis-power-bi asiacup-data-analysis-power-bi Public

    Power BI data analysis of Asia Cup cricket matches featuring historical insights, performance correlations, and a dedicated India vs Pakistan rivalry dashboard.

  3. airlines-customer-segmentation-clustering airlines-customer-segmentation-clustering Public

    Customer segmentation of East–West Airlines frequent flyer data using K-Means and Hierarchical Clustering. The project identifies optimal customer segments based on flying behavior, reward usage, a…

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  4. bank-term-deposit-prediction bank-term-deposit-prediction Public

    Predicting bank term deposit subscriptions using Logistic Regression with recall optimization and threshold tuning.

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  5. fraud-risk-detection-random-forest fraud-risk-detection-random-forest Public

    Fraud risk classification using Random Forest on taxable income data. The project includes exploratory data analysis (EDA), handling class imbalance using SMOTE, model evaluation with recall-focuse…

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  6. gas-turbine-energy-yield-prediction-neural-network gas-turbine-energy-yield-prediction-neural-network Public

    Neural network–based prediction of gas turbine energy yield (TEY) using ambient and turbine operational parameters. The study compares ambient-only and full-feature models, highlighting the impact …

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