I'm a Data Science professional with a experience in financial analytics and reporting. Google certified Data engineer with a Masters in Data Science and MSc in Finance. Skilled in leveraging technologies such as Python, R, SQL, PySpark, Kafka, and Tableau to create data-driven solutions.

Core Skills: Machine learning/Data Engineering , technical writing

• Machine learning: Supervised Learning, Unsupervised Learning, Deep Learning, Natural Language Processing, Time Series Analysis, and MLOPs

• Data Engineering: Data Pipelines(ETL/ELT), Change Data Capture, Data cleaning and processing, Explorative Data Analyses, Data visualization

• Programming languages: Python, R, Javascript.

• Python Libraries: FastAi, Pytorch, Scikit-learn, NLTK, Pandas, Numpy, Matplotlib, Seaborn.

• Data Management & visualization: SQL, PostgreSQL, MongoDB, PySpark, Kafka, Tableau, Airflow.

• Infrastructure & Tool: Google Cloud, Git & Github,Docker, Weights & Bias.

👩‍💻 I'm currently working on a skincare solution to provide personalized recommendations using Graph ML.

🧠 I'm curious about recommendation systems for different use cases in my free time I try to read 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, and going for tech meetups in any city I live is a monthly duty.

📫 Reach me by DM on Twitter @coloene, sorry X doesn't work for me Elon.

⚡️ Fun fact. Delay gravitation was the fun part of debugging, chatGPT kind of took the fun out. I still prefer StackOverflow. The next generation would not say google it but quick fix it by just GPTing-it or GPT-it. Ask ur niece or nephew to confirm.