Sajid Hafeez Data Scientist | ML | Excel, R, Python, STATA
No reviews yet

I provide end-to-end data analysis, data science, and automation solutions using industry-standard tools such as Excel, R, Python, STATA, and Large Language Models (LLMs). My work focuses on transforming raw data into clear insights, reliable models, and decision-ready outputs.

📊 Excel & Business Analytics

Advanced Excel (formulas, Power Query, Pivot Tables)
Professional Excel dashboards and reporting
Data cleaning, validation, and structured analysis
Custom charts and visualizations for decision-making
Research and survey data analysis using Excel

📈 Statistical Analysis & Econometrics

R programming for statistics, modeling, and visualization

STATA for econometrics and microdata analysis
Regression models, panel data, GMM, causal analysis
Hypothesis testing and statistical inference
Academic and policy-focused data analysis

🤖 Data Science & Machine Learning

Python & R for data science and predictive modeling
Feature engineering and model evaluation
Applied mathematics for data science problems
End-to-end data science projects (from data to deployment)
Model interpretation and reporting

🧠 Large Language Models & AI Workflows

LLMs (Large Language Models) for analytics and automation
LangChain & LangGraph for multi-step AI workflows
AI-powered data analysis and text processing pipelines
Custom intelligent systems for research and productivity

⚙️ APIs & Data Applications

FastAPI for building high-performance data APIs
Data pipelines connecting analytics to applications
Backend support for AI-driven systems

🔍 Research & Advanced Analytics

Advanced microdata analysis using STATA
Research-grade data workflows
Reproducible analysis and clean documentation

Support for academic, business, and policy research
Deployment: Building interactive web applications with Streamlit and Flask.

How I Can Support You
End-to-end project guidance, from data cleaning and exploration to advanced model building.
Applied econometrics and data analysis for business, healthcare, and academic research.
Comprehensive statistical analysis (descriptive, inferential, exploratory).
Feature selection and model interpretation.
Personalized, one-on-one tutoring and consultation sessions.

My Commitment to You

Free Initial Consultation: Let's discuss your needs and outline a path forward, no strings attached.
Clarity and Quality: You'll receive clean, well-commented code and explanations designed for understanding, not just a final grade.
Dedicated Partnership: I am available for ongoing support and questions throughout our work together.
Driven by Your Success: My goal is to equip you with the knowledge and confidence to excel.

I'm here to help you succeed. Let's talk about what you're working on.

Subjects

  • R (Programming) Beginner-Expert

  • R Statistics Beginner-Expert

  • Excel Beginner-Expert

  • Data Science Beginner-Expert

  • R programming Beginner-Expert

  • STATA Beginner-Expert

  • Excel charts Beginner-Expert

  • STATA for Econometrics Beginner-Expert

  • Python Data Science Beginner-Expert

  • Data Science (Mathematics) Beginner-Expert

  • Advanced Microdata analysis using STATA Beginner-Expert

  • Excel (Advanced) Beginner-Expert

  • FastAPI Beginner-Expert

  • Data Science Projects Beginner-Expert

  • Data Analysis with R and Python Beginner-Expert

  • Excel & Research Data Analysis Beginner-Expert

  • LangChain Beginner-Expert

  • Large Language Models LLMs Beginner-Expert

  • LangGraph Beginner-Expert

  • Excel Dashboard and Reporting Expert level

Experience

  • Lead Data scientist (Jan, 2021–Present) at R programmers - Islamabad
    Directed Data Science team operations, ensuring timely project delivery and streamlined workflows.
  • Data Scientist (Jun, 2016–Present) at Freelancer and online tutor
    I am freelancer at different websites, where I do data analysis, machine learning numerical analysis with R programming, python programming, stata, spss and matlab.

Education

  • MS data science (Jun, 2019–Jan, 2021) from comsats university islamabad

Fee details

    Rs1,000–5,000/hour (US$3.59–17.95/hour)

    Depends on the task level.

Courses offered

  • Data science with python

    • US$240
    • Duration: 1 Month
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    This online course will be conducted via Zoom and is designed to provide a practical introduction to Data Science using Python. Participants will gain hands-on experience with essential Python libraries, data visualization tools, and machine learning models.

    Introduction to Data Science

    Overview of Data Science and its applications

    Installing Python and Anaconda
    Getting started with Python programming
    Python crash course for beginners

    Python for Data Science

    NumPy: Numerical computing and array manipulation
    Pandas: Data handling and preprocessing techniques
    Matplotlib: Data visualization with plots and charts
    Seaborn: Statistical data visualization with advanced graphics
    Pandas Visualization: Quick visualization techniques within Pandas
    Plotly: Interactive data visualization

    Machine Learning Models

    Introduction to supervised and unsupervised learning
    Correlation Analysis: Measuring relationships and heatmap visualization
    Linear Regression: Implementation using Scikit-learn
    Logistic Regression: Classification with Scikit-learn
    K-Nearest Neighbors (KNN): Implementation and applications
    Decision Trees & Random Forests: Building and interpreting models
    Support Vector Machines (SVM): Classification techniques
    K-Means Clustering: Unsupervised learning for grouping data
    Principal Component Analysis (PCA): Dimensionality reduction techniques
    Neural Networks & Deep Learning: Foundations and implementation in Python

  • Data science with R programming

    • US$240
    • Duration: 1 Month
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    This online course will be conducted via Zoom and is designed to provide a practical introduction to Data Science using R. Participants will gain hands-on experience with essential R packages, data visualization tools, and machine learning models.

    Introduction to Data Science with R
    Overview of Data Science and its applications
    Installing R and RStudio
    Getting started with R programming basics
    R crash course for beginners
    R for Data Science

    dplyr: Data manipulation and transformation
    tidyr: Data cleaning and reshaping
    ggplot2: Data visualization with the Grammar of Graphics
    readr & readxl: Importing and handling datasets
    data.table: High-performance data manipulation
    lubridate: Working with dates and times
    Data Visualization
    Base R graphics: Quick plotting functions
    ggplot2 advanced: Customization and themes
    plotly in R: Interactive visualizations
    corrplot / ggcorrplot: Correlation heatmaps

    Machine Learning with R

    Introduction to supervised and unsupervised learning in R

    Correlation Analysis: Relationships between variables
    Linear Regression: Model building and evaluation
    Logistic Regression: Classification techniques
    K-Nearest Neighbors (KNN): Implementation with R packages
    Decision Trees & Random Forests: Model training and interpretation
    Support Vector Machines (SVM): Classification in R
    K-Means Clustering: Grouping and unsupervised learning
    Principal Component Analysis (PCA): Dimensionality reduction
    Neural Networks & Deep Learning: Implementation using R packages

Reviews

No reviews yet. Be the first one to review this tutor.

© 2016 - 2026 TeacherOn. All rights reserved