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MOHD-AFROZ-ALI/README.md

Hi 👋, I'm Mohammad Afroz Ali

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🔥 Transforming complex problems into deployable AI solutions
Aspiring software and ML engineer skilled in developing and deploying scalable machine learning systems with MLOps , cloud experience, and solid foundation in algorithms.
Open to: SDE | ML Engineering | MLOps roles


🛠️ Technical Arsenal

Languages & DSA ML & AI MLOps & Cloud Tools

🧩 Problem-Solving Framework

graph LR
    A[Business<br>Objective] --> B{Problem<br>Analysis}
    B --> C[Data<br>Acquisition]
    B --> D[Algorithm<br>Selection]
    C --> E[Feature<br>Engineering]
    D --> E
    E --> F[Model<br>Development]
    F --> G[Validation<br>Metrics]
    G --> H[Deployment<br>Strategy]
    H --> I[Monitoring<br>& CI/CD]
    I --> J[Stakeholder<br>Communication]
    J --> A
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🚀 Key Projects

• Clustered 8.9k users (0.7 silhouette score) identifying 4 customer personas
• Built interactive dashboard driving 25%↑ campaign ROI and 18%↑ retention
• Reduced default risk by 30% through credit profiling insights
• End-to-end risk pipeline with 91% ROC-AUC and SHAP explainability
• Containerized on AWS (EC2/S3/ECR) with CI/CD automation
Reduced evaluation time by 80% while increasing accuracy by 25%
• Robust pipeline with drift detection achieving 94% precision
• Version control via MLflow + DAGsHub for team collaboration
• Real-time inference on AWS with automated CI/CD pipelines
• Custom Seq2Seq model with domain-specific tuning
• Reproducible workflows via DVC and MLflow
• Deployed on AWS achieving 90%+ accuracy for chatbot integration

🎓 Education & Credentials

Education Certifications
Muffakham Jah College of Engineering
B.E. Information Technology
CGPA: 8.0/10 • 2021-2025
• Complete Data Science & ML - Udemy
• MLOps with 10+ Projects - Udemy
• AI Curriculum - NASSCOM
• AWS Machine Learning - In Progress
• Soft Skills - TCS iON

GitHub Streak

"Passionate about transforming machine learning concepts into real-world solutions through
scalable solutions,ML deployment, cloud technologies, and end-to-end system thinking"
📫 Let's connect:

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  1. Customer-Segmentation-on-Credit-Details Customer-Segmentation-on-Credit-Details Public

    Customer Segmentation with Credit Insights helps businesses personalize marketing and boost retention by analyzing credit card usage patterns. Using K-Means, DBSCAN, and PCA, it identifies meaningf…

    Python

  2. Credit_Default_Predict Credit_Default_Predict Public

    End-to-End ML Dashboard for Credit Risk Assessment with SHAP Explainer provides real-time credit default risk prediction with detailed explanations to help financial institutions make informed lend…

    HTML 1

  3. ml-phish-detector ml-phish-detector Public

    ML Phishing Detector is a full-stack machine learning system for detecting phishing websites using URL-based features and multiple classifiers. It includes schema validation, drift detection, a RES…

    Python

  4. SpellSeqAI SpellSeqAI Public

    SpellSeqAI is a deep learning–powered spelling correction engine that blends pretrained NLP with a custom seq2seq model, delivering fast, accurate text corrections for scalable business application…

    Python

  5. textsummarize textsummarize Public

    Built an abstractive text summarizer using T5and Hugging Face, evaluated with ROUGE/BLEU to ensure high-quality, human-like summaries of long documents.

    Jupyter Notebook

  6. ANN-Classification--Churn ANN-Classification--Churn Public

    Customer Churn Prediction with ANN uses an Artificial Neural Network built in TensorFlow/Keras to identify customers at risk of leaving. The project includes data preprocessing, hyperparameter tuni…

    Jupyter Notebook