10 Academy profile site

TOYIN, Hawau Olamide

Kwara, Nigeria

B. Eng. (Computer Engineering)

Python, C++, SQL, Javascript

Programming Languages


Tableau, Matplotlib, Seaborn, Streamlit

Visualisation

DVC, MLFlow, GitHub Workflows

CI/CD


MongoDB,MySQL, PostgreSQL

Database


API's, Kafka, Spark, Airflow, dbt

ETL & Orchestration


AWS

Cloud

About me

  • A Data Engineer proficient in designing and developing data models and data pipelines, and using ETL tools to meet business requirements.

  • Passionate about building successful data systems with experience in API and Back-End Development (NodeJS), Data Extraction (Kafka), Data Transformation (ETL), Data Modelling (Machine Learning), Deployment and Building Dashboards.


Education

  • University of Ilorin, Nigeria ( 2015-2021 )

B.Eng. (Computer Engineering)

  • WorldQuant University ( 202o-2021 )

Applied Data Science I & II (with honors)


Work Experience

  • Worked on the analysis of the attrition of a company's employees using

python and python stats ( Numpy, Pandas) and Tableau which

uncovered a new approach to the problem.

  • Worked on Front End Web Development with HTML,CSS, JavaScript,React and Template Engines

  • Worked on Back End Web Development with NodeJS and MongoDB data base


Projects


Used Regression Machine Learning models and deep learning models to predict sale values from the Rossman Pharmaceuticals dataset.

Created a python package for reading Point Cloud Data, Obtain Dimensions, Plot graphs using the Pdal, gdal, ogr libraries amongst others.


Used Tableau to analyse data from a telecommunication company. Created dashboards of User Engagement analysis, User Overview analysis and User Experience analysis.


Used C++ to program an Arduino board connected with sensors to measure vital signs (temperature and pulse). Used Nodejs to create APIs to read and write the measured data and store in a cloud MongoDB data base.

Worked in a team of 7 as the deputy team lead to create a web interface for saving audio files generated by users from transcribed Amharic sentences stored in a s3 bucket.

Built a data warehouse using dbt to extract data from file and transform data to answer business questions while using Airflow to schedule & run dbt commands