Summary
Overview
Work history
Education
Skills
Certification
Custom
Affiliations
Languages
Timeline
SoftwareEngineer
Hammad Tahir

Hammad Tahir

Slough,Berkshire

Summary

Data scientist with strong programming skills in Python, R, SQL, and JavaScript. Expertise in machine learning techniques including supervised, unsupervised, deep learning, NLP, and reinforcement learning. Proficient in big data technologies such as Apache Hadoop and Spark, and experienced with cloud platforms like AWS, Google Cloud, and Azure. Utilizes advanced data analysis tools for cleaning, EDA, feature engineering, and visualization, driving impactful data-driven solutions.

Overview

2
2
years of professional experience
5
5
years of post-secondary education
3
3
Certification

Work history

Data Scientist and Machine Learning Engineer

Freelance
05.2024 - 06.2024
  • Engineered and deployed machine learning models for fraud detection using XGBoost and Random Forest.
  • Executed data cleaning and feature engineering to enhance model accuracy.
  • Optimised models through rigorous evaluation and iterative refinement.
  • Developed a scam detection model to identify fraudulent activities.

Web Developer and Graphic Designer

Smart Home Startup
AJ&K
06.2022 - 09.2023
  • Designed website for startup, ensuring modern aesthetics and functionality.
  • Developed Android application for home device control, enhancing user experience.
  • Optimised web interfaces to improve accessibility and usability standards.

Education

Master of Science - Big Data Technologies

Glasgow Caledonian University
London
09.2024 - 08.2025

Bachelor of Science - Software Engineering (Hons)

University of Azad Jammu and Kashmir
Pakistan
01.2019 - 01.2023

Skills

  • Programming Languages: Python, R, SQL, JavaScript
  • Machine Learning Techniques: Supervised Learning, Unsupervised Learning, Deep Learning, Natural Language Processing (NLP), Reinforcement Learning
  • Big Data Technologies: Apache Hadoop, Apache Spark, Data Pipelines
  • Data Analysis Tools: Data Cleaning, EDA (Exploratory Data Analysis), Feature Engineering, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Tableau
  • Cloud Platforms: AWS, Google Cloud, Microsoft Azure
  • Development Tools: TensorFlow, Keras, Scikit-learn, Jupyter Notebooks, Git, Docker
  • Model Evaluation Techniques: Hyperparameter Tuning, Cross-validation, Performance Metrics

Certification

  • Machine Learning A-Z (Udemy)
  • Python for Data Science and Machine Learning (Udemy)
  • Data Science with Python (Udemy)

Custom

Fake News Detection System, Developed an NLP-based system using machine learning to classify news articles as real or fake. Scholarship Eligibility Prediction Model, Built a predictive model to assess eligibility for scholarships, improving allocation efficiency. AI-Based Smart Meter Diagnostics, Created a machine learning model for real-time anomaly detection in smart meters.

Affiliations

  • Reading Books
  • Playing Cricket

Languages

English
Upper intermediate (B2)
Urdu
Native
Hindi
Fluent

Timeline

Master of Science - Big Data Technologies

Glasgow Caledonian University
09.2024 - 08.2025

Data Scientist and Machine Learning Engineer

Freelance
05.2024 - 06.2024

Web Developer and Graphic Designer

Smart Home Startup
06.2022 - 09.2023

Bachelor of Science - Software Engineering (Hons)

University of Azad Jammu and Kashmir
01.2019 - 01.2023
Hammad Tahir