Aadam Gafar

about

Software developer transitioning to data science with 3+ years of experience and advanced ML training from Cambridge. Built production-ready forecasting models (Weight Forecasting for Athletes Using Nutrition Data) using SARIMAX/XGBoost, explicit safety constraints, and rigorous statistical validation - achieving 90%+ accuracy.

Also created the Mono Suite, a collection of distraction-free, local-only tools, including:
- Mono for YouTube, a browser extension that removes visual clutter from YouTube.
- Mono for Desktop, an app for watching local videos in a streaming-style interface.

Get in touch at aadamhgafar@gmail.com or via LinkedIn ↗.

projects

education

MSc Statistics

University of Birmingham · 2026 - Present

Postgraduate study covering Bayesian and nonparametric inference, statistical machine learning, computational statistics, statistical modelling, and time series prediction, alongside an independent statistics project.

Career Accelerator in Data Science w/ ML & AI

University of Cambridge PACE · 2025 - 2026

Advanced curriculum covering statistical modelling, supervised and unsupervised ML pipelines, deep learning, and Python-based model development and evaluation.
Coursework emphasis on rigorous methodology, cross-validation, and real-world deployment - directly informing the forecasting framework project.

BSc Physics

University of Glasgow · 2018 - 2021

Applied advanced calculus, linear algebra, probability theory, and statistical inference to complex physical datasets.
Developed strong mathematical foundations in error analysis, computational modelling, and scientific reasoning that underpin current data science practice.

experience

Software Developer

Totalmobile Ltd · 2023 - 2026

Optimised backend data processing and SQL logic for large-scale datasets, improving query throughput and pipeline reliability in a production environment.
Engineered automated data validation protocols for RESTful APIs ensuring high data integrity across downstream consumers.
Collaborated in an agile engineering team, contributing to code reviews, sprint planning, and production deployments.

Software Developer

Culina Group · 2022 - 2023

Designed and deployed ETL pipelines in T-SQL to migrate and normalise logistics data across platforms, improving data quality and accessibility for analytical use.

Data & Analytics Intern

Capita plc · 2022

Developed foundational data engineering pipelines and applied machine learning techniques in Python to solve business-centric data problems across large enterprise datasets.