10 Academy profile site
TOYIN, Hawau Olamide
Kwara, Nigeria
B. Eng. (Computer Engineering)
Portfolio: my portfolio link
Linked In: www.linkedin.com/in/toyinhawau
Email: hawau.olamide.th@gmail.com
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