Tayyab Aamir | Linktree

Github Repo

● Developed an anomaly detection programme with data professionals at Livestock Information Ltd to improve livestock movement data accuracy across England.
● Used Python and NetworkX to build a graph-based model mapping trade links between farms, markets, and abattoirs, identifying and correcting data irregularities.
● Improved system reliability and gained experience applying data analysis and graph theory in a real-world setting.

Project: Livestock Movement Data Analysis - In Progress

● Built linear and multiple regression models from scratch without using ML libraries like scikit-learn, to understand the core mechanics of machine learning.
● Applied concepts such as vectorisation, feature engineering, and model performance evaluation to optimise results.
● Gained a deeper understanding of how regression algorithms function and how to implement them efficiently in Python.

Project: Custom Linear Regression

● Developed a sentiment analysis model trained on Amazon product reviews to predict overall ratings from 1–5 based on emotional tone.
● Used word frequency and context patterns to identify key indicators of positive or negative sentiment.
● Enhanced understanding of natural language processing and text-based machine learning techniques.

Project: Sentiment Analysis

Tayyab Aamir

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Tayyab Aamir

Student | AI/ML & Python Developer

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