Dalmas Otieno

Experience

• 

  St Mary's College Lugazi

  Oct 2015 - Sept 2017

  Head Of ICT Department
• 

  Oolu

  May 2018 - Feb 2019

  Data Scientist and Machine Learning Engineer

  1. I built data reporting solutions using chartio and google data studio. 2. I worked on credit scoring and predictive repayment machine learning models .

• 

  DaliCodes

  Jan 2019 - now

  Co-Founder and instructor
• 

  Cognative Insights

  Mar 2019 - Feb 2020

  Data Scientist

  1. I led the team of 2 data scientists.2. I developed and deployed fraud detection machine learning and deep learning models using tensorflow, flask and kafka.

• 

  Global Water Partnership

  Jun 2019 - Apr 2020

  Research Scientist

  1. I researched alternative data sources and alternative mathematical modeling techniques for flood hazard assessment.

• 

  Varimetrics Group Limited

  Jul 2019 - Oct 2021

  Data Engineer and Information Scientist

  1. I led data engineering and data science consulting projects.2. I performed data auditing, data engineering and data science for consulting projects

• 

  The Innovation Village

  Mar 2020 - Nov 2021

  1. I led a team of 2 data engineers in development of a single source of truth.2. I developed and maintained the data warehouse (azure synapse analytics).3. I developed data engineering pipelines using azure data factory that picked data from many silos and stored them in the data warehouse. 1. I led the development of a phased plan to develop business intelligence solutions.2. I developed analytics solutions using powerbi.

  • Data Architect

    Mar 2021 - Nov 2021

  • Data Services Manager

    Mar 2020 - Mar 2021
• 

  ENGIE Energy Access (Africa)

  Nov 2021 - now

  Data Scientist

  1. I took responsibility as head of data for 6 months when the head of data was out on leave.2. I developed the staging environment for the data engineering infrastructure and influenced the adoption of ci/cd. 3. I built data pipelines in python, spark and sql that extracted data from several data sources and loaded the data into the data warehouse (amazon redshift) and archived in the data lake (aws s3)4. I maintained the data warehouse to ensure it maintains high query execution speeds and purged stale data to keep costs as optimal as possible.5. I maintained a gsm real time data stream from gsm devices transformed the data using emr and loaded the data into s3 and then linked the data to redshift using spectrum.6.. I maintained the workflow orchestration system (airflow) and participated in its upgrade twice.7. I developed data quality checks using programming standards of feature testing and unit testing.8. I developed and deployed machine learning models using fast api.9. I did periodic training to the data analysts and data scientists about the tribal knowledge of data and the data ecosystem.10. I worked on data migration projects, migrating data from one data warehouse to another. Show less