Nafees Iqbal

Hi, I'm Mohammad Nafees Iqbal

Masters in Data Science | AI & ML Enthusiast | Data Analyst

Skills & Tools

Python TensorFlow scikit-learn NumPy Pandas Matplotlib RStudio R ggplot2 MS Excel Docker SQL LaTeX ChatGPT AI AWS GitHub Google Cloud
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Statistics & Probability
  • Mathematics for Data Science
  • Data Visualization
  • Research & Analysis

Education Journey

  • M.Sc Data Science

    Aligarh Muslim University (2024–2026)

      Machine Learning, Deep Learning (CNN, RNN, LSTM, Transformers), Data Analysis, Big Data Analytics, DBMS
  • B.Sc Statistics

    Aligarh Muslim University (2021–2024)

      Core Courses: Descriptive Statistics, Probability, Sampling Distributions, Statistical Inference, Linear Models

Experience

Data Science Intern – IDEAS-TIH, ISI, Kolkata

Jan 2026 – March 2026

Worked on data preprocessing, ML model development, and dashboard creation. Built analytics pipelines using Python, Pandas, and Scikit-Learn.

Featured Projects

Fruit Classification

Trade-off analysis in real-world deployment of deep learning models under resource constraints

Designed an end-to-end edge AI pipeline analyzing accuracy–latency–uncertainty trade-offs in deep lerning deployment on constrained devices (Raspberry Pi 3 Model B v1.2).

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Mental Health Study

Exploring the Impact of Social Media Engagement on the Mental Wellbeing of University Students

Statistical analysis of 348 participants to study depression predictors.

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AI Worker Productivity Dashboard

Real-Time Cloud-Deployed AI Workforce Analytics & MLOps Dashboard

End-to-end MLOps analytics platform with FastAPI backend, real-time KPIs, business metrics, PostgreSQL, and Heroku deployment.

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Domain Specific Q&A System

Domain-Specific Q&A System

Retrieval-Augmented Generation (RAG) system using FAISS, LangChain, and FLAN-T5-Base for grounded, hallucination-controlled document intelligence on CPU.

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Latest Articles

Article 1

From Raw Logs to Business KPIs: Building a Reliable ML Analytics Layer

Physical systems deployed over edge (like camera sensors) continuously produce low-level event logs. For an example: `{"event": "person_detected", "conf": 0.91}`

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Article 2

AI Cold War 2.0: Progress, Peril, and Paradoxes

In recent years, artificial intelligence gone from a science fiction to engine driving, economics, education, politics and almost everyday of our life. How fast it became a part of our life isn't it?

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