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Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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amaboh/README.md

Hi, I'm Ama

🚀 About Me

I'm a Data scientist who's curious about possibilities of Deep Learning architectures to advance human civilization in domains like health and finance.

🛠 Skills

Core Skills: ML/Deep learning/ Data Engineering , technical writing, recommendation systems

• Machine learning: Supervised Learning, Unsupervised Learning, • Deep Learning: Computer vision, Natural Language Processing, Graph Neural Networks, Recommendation Systems, RL • Data Engineering: Data Pipelines(ETL/ELT), Change Data Capture, Data cleaning and processing, Explorative Data Analyses, Data visualization, and MLOPs

Tech Stack

  • Programming Languages: Python, Javascript, SQL
  • Web technologies: HTML, CSS, Flask, React, Next JS
  • ML frameworks: PyTorch, Tensorflow, OpenCV, Scikit-Learn, Pandas, Numpy, LangChain, LangGraph, Network X
  • Data Engineering: Dataflow, Cloud Composer (Airflow), Pub/Sub, dbt, Kafka, Tableau, Excel, PySpark, Scrapy
  • Infrastucture: Terraform, Docker, Terraform, GitHub Actions, CI/CD, Vertex AI, BigQuery, AutoML, Cloud Run, Cloud Functions
  • Databases & Storage: BigQuery, Cloud Storage, MongoDB, PostgreSQL

Other Stuff about me

👩‍💻 I'm currently working on working at mySKinci a skincare solution to provide personalized recommendations skincare routines using computer vision, GNN, RL and Generative AI.

🧠 I'm curious about recommendation systems for different use cases in my free time I try to read papers and develop recommendation systems.

🤝 I'm looking to collaborate on projects in process automation, interested in finance and healthcare data but open-minded.

🎤 I enjoy talking to data practitoners on the Data Queries podcast. Check it @Data Queries on Spotify, Apple, and Google Podcast.

🔄 I'm always at a PyData London meetup where I'm a volunteer, and going for tech meetups in any city I live is a monthly duty.

If was to at anypoint to go into research like a Phd program, I'd like to research into Causal AI for image generation in healthcare.

I love watching animes when I want to wind down.

⚡️ Fun fact. Delay gravitation was the fun part of debugging, chatGPT kind of took the fun out. I still prefer StackOverflow though.

🔗 Links

portfolio linkedin

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  1. Machine_learning_in_finance Machine_learning_in_finance Public

    This is a series of projects implementing Machine Learning techniques and models to financial data

    Jupyter Notebook 1

  2. Effective-MLOPS Effective-MLOPS Public

    CI/CD for ML using GItOps and Experiment tracking

    Jupyter Notebook

  3. streamlit_dashboard streamlit_dashboard Public

    This is an interactive dashboard project implemented with StreamLit using geographical sales data with various charts and selectors

    Python

  4. african_financial_markets african_financial_markets Public

    This a repository implementing a data pipeline of African Financial Market Data

    Python

  5. stream-data-pipeline stream-data-pipeline Public

    This is a project in which an end to end streaming data pipeline is implemented and containerise with Docker.

    Python

  6. scrapingbots scrapingbots Public

    A series of projects on web scraping for data analyses

    Jupyter Notebook 2