A full-stack cloud data scientist with a master’s in data science, vast commercial data science experience and a track record of leading
hypothesis testing, building reporting dashboards, developing, deploying, and monitoring machine learning models at pace. I have significantly
impacted companies like NBrown Group, Collidascope, Arcadis Gen, Legit.ng having developed and deployed scalable, robustly tested, well
documented models with a focus on increasing revenue, customer retention and automating workflows. I prioritise goal-oriented strategies
whilst maintaining team culture, fostering positive stakeholder relationships, and upholding rigorous coding standards within an agile
environment.
Developed and embedded a model monitoring framework (consisting of Long Term Model Drift monitoring, Early warning monitoring and alerting) for reporting model drift of 4 supervised machine learning CLTV models (demand, returns, orders, transaction) using sklearn, seaborn packages in python. [Private repo!]
Engineered a takeaway database consisting meal data 150+ restaurants using SQL and dbt. Classified over 350,000 takeaway options into diverse dietary plans like vegan, gluten-free, halal etc. using LLMs - OpenAI’s GPT model, python libraries (pandas, FastAPI, seaborn, jupyter), GCP python SDKs (google-cloud-bigquery, google-cloud-storage), Docker, GitHub actions, and deployed the API on GCP Linux VM using a microservices architecture. [Private repo!]
Performed big data analysis on tweets using PySpark, Scala, Hive, Impala and mySQL in VMware to monitor unusual activity during football matches.
Built an advanced package in R for spatial analysis. This includes functions such as GetElevation() which calculates the elevation given a lat and long, FindNearest() which looks for the nearest spatial feature, ConvertCoordinates() which converts easting and northing to longitude and latitude and vice versa.
This R package can be used to get historical weather conditions, hourly and daily forecasts for any location in the world. Also includes unit tests.
This repo is a simple walkthrough of how to apply test driven development in python.
This repo consists of a database engineered for a hypothetical online mail company, Insight Mail. Also contains a database schema as well.