Experience extracting data from websites/portals by implementing web scraping techniques.

Automated systematic processes reducing human reliability across multiple businesses.

Packages: Selenium, Beautiful Soup

Implementation of supervised and unsupervised learning techniques to aid business decision-making.

Techniques Applied: XGBoost, Random Forest, K-Means, Linear Regression, PCA, Logistic Regression

Packages: Sklearn, Statsmodels, Pandas, NumPy

Developed computer vision models for an industry leading client, optimising visual merchandising productivity and stock levels.

Designed and developed an NLP neural network architecture to classify customer intent behind business interactions via voice and digital channels.

Packages: Tensorflow, Keras, PyTorch

Hands-on experience working with GCP, specifically Vertex AI and BigQuery.

Experience using both AWS and Microsoft Azure for EC2 and Azure VM purposes.

Features: Vertex AI, BigQuery, Cloud Storage, Cloud SDK, Dataflow, Looker, Data Studio

Hands-on experience designing database architecture, data pipelines and data transformations via dbt Cloud.

Multiple years exposure to MSSQL, Bigquery and MongoDB Atlas.

Software: BigQuery, SQL Server, dbt, MongoDB, SQLite

Enhanced web development skills using React, especially Backend services

Developed websites and web applications using Python, experience with both front-end and back-end processes.

Languages: HTML, CSS, SCSS, JavaScript

Frameworks: Flask, Django