About me

I am a data professional with a strong proficiency in analyzing, organizing, and retrieving insightful and actionable information from data. With a strong background in statistics and probabilistic thinking, I have spent the past 7 years working closely with stakeholders, building solutions to different data problems.

I love to learn about new technogilies that are imapacting the industry, the new ideas and problems they aim to solve. When I am not learning about new technogilies, I spend tile learning about different countries, culture, food and recent history.

What I do

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    Data Engineering

    Proficient in Data Engineering technologies such as AWS Glue, PySpark, S3, data warehousing, and data lakes. I have architected and built solutions that migrate and merges data from different source.

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    Data Analytics and B.I

    Proficient in Data Analytics and Business Intelligence, I am skilled in utilizing BI tools such as Tableau and AWS QuickSight to successfully designed and deployed comprehensive monitoring dashboards, providing valuable insights to stakeholders.

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    Machine Learning

    Strong fundamental and professional experience in developing and training machine learning models, including expertise in computer vision and geospatial models.

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    Simulations

    Proficient in simulating near-real-world systems when actual data is unavailable. I am skilled in representing such systems digitally to explore What-if scenarios while generating ample data for further insights.

Currently Learning

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    Blockchain Analytics

    Crypto analytics is vital to understand and combat the rise in cryto crimes and fraud.

Resume



Experience

  1. Data Engineer/Scientist

    2022 — Present

    Kofa is an IoT-based Battery Network Management and E-mobility company. As the founding data scientist and the sole member of the data team, my work spanned data analysis, engineering, and to some extent software engineering.

  2. Data Engineer/Scientist

    2020 — 2022

    I led the data teams on various projects including the Aegis rider an Advance Rider Assistance Guidance System. We leveraged cutting-edge technologies in robotics, computer vision, lidar, and digital mapping to improve rider experience and safety.

  3. Youth Trainning Assistant (Contract)

    2019
  4. Data Engineer/Analyst (Contract)

    2017 — 2018

Education

  1. MITx on Edx

    Feb,2020 - Dec 2020

    Micro Masters in Statistics and Data Science

  2. University for Development Studies Tamale

    2006 — 2007

    BSc. Actuarial Scinece

Blog