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Leul A. AI, Machine Learning and Data Science

My name is Leul A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning Model, Machine Learning, Deep Learning, Natural Language Processing, TensorFlow, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: Softdrink sales prediction using XGBoost regressor(deployed as an api), Coffee disease classification using ANN, Stock price prediction using LSTMs. I am based in Addis Ababa, Ethiopia. I've successfully completed 3 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Machine Learning and Data Science

    2 years

  • Machine Learning Model

    1 Year

  • Machine Learning

    1 Year

  • Deep Learning

    1 Year

Additional skills

  • Machine Learning Model
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • TensorFlow
  • PyTorch
  • NumPy
  • pandas
  • Keras
  • Python Scikit-Learn
  • SQL
  • Deep Neural Network
  • Deep Learning Modeling
  • TensorFlow Lite

Direct hire

Potentially possible

Previous Company

AtchAI

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Experience Highlights

Softdrink sales prediction using XGBoost regressor(deployed as an api)

This model is used to predict sales in specific areas in Ethiopia and then used to calculate best route to market decisions. Also used to allocate resources and estimate demand for production. R_2 sc

Coffee disease classification using ANN

Built a model for omndena saopaulo chapter to classify coffee diseases on a pretrained inception v3 model and trained it on a specific training and validation dataset. Then the model is deployed to st

Stock price prediction using LSTMs

Client's goal was to predict future closing stock price by using the previous data. I designed a sequential model using the Keras library and by adding LSTM and dense layers. The model predicts closin

Education

  • Addis Ababa Science and Technology University

    Bachelor of Science (BS) in Electrical and Computer Engineering

    2014-01-01-2019-01-01

Languages

  • Amharic (Native or Bilingual)
  • English (Fluent)✓