Unlocking Sustainability Through Data Analysis.

A recent graduate from Heriot Watt in Sustainability Engineering, I bring a unique blend of strong analytical capabilities mixed with a drive for sustainability. My technical toolkit includes proficiency in Python and machine learning complemented by practical experience with Pandas, Numpy, Scikit-Learn and NLTK, and data visualization tools such as Seaborn and Matplotlib . I am also skilled in database management using MySQL and extensive experience in Excel and PowerBI. My final year project showcased my ability to draw on machine learning, where I developed a model to predict future emissions of Scotland using Data Science.

Recent Work

Predicting Future Emissions of Scotland Using Data Science

Create machine learning model to predict future emissions (category wise) based on historical data.

Key Skills:

  • Scikit-Learn Library
  • Regression Model
  • Categorical Feature Encoding
  • Data Driven Prediction

Stock Analysis

Create a simple program to acquire historical stock data using a stock tinker using Yahoo Finance.

Key Skills:

  • Use Python library yfinance to acquire historical stock data
  • Data Structuring
  • Foundational Knowledge of Stock Data
  • Building Data Pipelines

Movie Recommendation Model

Create a model that would recommend similar movies based on a given title.

Key Skills:

  • Natural Language Procesing
  • Feature Engineering
  • Content Based Recommendation System
  • Cosine Similarity
  • Data Visualization
  • Basic Python Programming

Corporate Energy Consumption Analysis

EDA and Forecasting of different companies based in Canada

Key Skills:

  • Data Cleaning and Preprocessing
  • Exploratory Data Analysis (EDA)
  • Time Series Analysis and Forecasting
  • Data Manipulation with Pandas
  • Data Visualisations

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