About me
Hello there!
My name is Ayotomiwa Salau but you can call me Tomiwa.
I am a Data scientist/Data Engineer, meaning I analyse data, build machine learning models, and also build cloud & data infrastructures.
For my non technical readers, I build intelligence systems.
I am a big fan of the possibilities of data and AI. Its potentials are vast in making better decisions, improving productivity and efficiency, increasing revenue and boosting standard of living.
In the course of my journey, I have learnt a lot of concepts & technologies, developed a lot of skills, such as, machine learning, data engineering, web development, data analytics, deep learning, robotic process automation, data streaming and consulting.
I have included a couple of projects I worked on, such as Stock prediction app, Movie recommender system, Club-football matchevent data lake etc.
Have a look. Cheers!
Services
Big Data
Machine learning / AI
Cloud
Web
Automation
Consulting
Projects
Club-football match event data store
A data store containing sourced and processed data on microevents that happened in a football game such length of pass, position of shot taken, success of tackle etc...
Sports
Stock price prediction app
A web tool for financial analysts to predict the future stock price of companies. It uses machine learning model to make predictions with data on daily closing stock prices.
Finance
Movies Recommender System
A command line application that can recommend preferred movies to user. Gives recommendation based on the popular or trending movies, movies similar to the user's choice or the user's rating of similar movies.
Lifestyle
Data Pipelines for music metadata with Airflow
An automated data pipeline using Airflow for ETLing metadata on contemporary music from a file storage to an analytical database
Productivity
Jokes, Riddles & Proverb API
APIs for dispensing jokes, riddles and proverbs. Can be utilized simply by calling the required endpoints to get the content
Entertainment
Processing song and user big data with Spark engine
This project involves using Spark engine to process song and user data in JSON files, extracting the required data points and outputing the resulting data into a database.
Efficiency
Auth app deployment using container orchestration (Kubernetes) & CI/CD
A flask API that checks the authentication status of a user. Deployed in a container (docker) and kubernetes was used to orchestrate several instances of the container to enable it cope with high traffic request.
Operations
Social demonstration web app
An online civil demonstration and public protest app that educates people about the #EndSARS protest and enables them broadcast within their online social circle
Governance
Transaction Data streaming application
A stream application that transfers transaction data real-time in JSON files from POS terminals to an analytics dashboard
Real-time Streaming
Data visualization
A forray of data visualizations on Refugee migration, Store clustering, Sales-Profit overview
Analytics
Report generation
A robotic process automation bot that automates the process of generating a year end report. it involved collecting and collating data from different web portals and generating an output report for the user's consumption.
Process Automation
Tech Stack
