Martin Bironga

Experience

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  ACTSERV - Actuarial Services (E.A) Ltd

  Apr 2019 - Oct 2021

  Under this position I was able to perform the following tasks- creating models from insurance data- dividing complex data into simple chunks that the data analytics team could handle- deriving insights from salary to advice on post retirement medical fundingAlso was set in charge of the post retirement funding system, where I learned a breadth of soft skills, including: organization, delegation and teamwork Under this position I performed a variety of tasks:- designing the database system- designing the frontend and ui/ux experience- crafting deployment and testing strategiesUnder this department I was able to develop many systems, that were being used by the company such as the brooks insurance agency and performance systems.

  • Data Scientist

    Apr 2020 - Oct 2021

  • Software Developer

    Apr 2019 - Apr 2020
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  JNAM

  Oct 2021 - Jul 2022

  Under this position, I performed tasks spanning the following areas: - mathematical tests ranging from AB Tests to Sequential.- crafting recommender systems, based on geolocations.I was also placed in charge of the team and this in turn gave me experience in the following areas: teamwork, unity of purpose, focus, proactivity and productivity. While working in this position, I was able to execute the following tasks:- scheduling workflows for monitoring applications.- replicating the master database to its workers.I was reporting directly to the team leader, and this also taught me the following soft skills: responsibility, self-sacrifice, delegation of tasks and thriftness.

  • Machine Learning Engineer

    May 2022 - Jul 2022

  • Data Engineer

    Oct 2021 - May 2022
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  10 Academy

  May 2022 - Sept 2022

  Machine Learning Engineer

  In 10 Academy, I was able to make gigantic career steps. I learned a variety of tasks, that is from studying the data to creating models that pattern the data. Activities here were wide spanning the following areas:- extracting data from apis- predicting time series data- creating etl data pipelines- generating speech to text models- generating active learning data collection applications- performing causal inferencing and attaching it to predictive modeling- ingesting satelite imaging data, and deriving insights that benefit farmersIt was a thrilling experience and requires a strong heart. However, it was very educative. Show less

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  Bright Coders'​ Factory

  Sept 2022 - now

  Data Engineer

  I perform data engineering tasks which in a nutshell is generating event-based data pipelines from source to target.- Generating data pipelines using airflow, docker and kubernetes- Identifying source distributions and patterns in data- Orchestrate data workflows in regards to priority activities- Writing snowsql for data transformations to snowflake(target warehouse)