Location: Dubai, UAE | Toronto, Canada | Anywhere in the EU.
  Remote: Yes
  Willing to Relocate: Yes
  Technologies: Python, Golang, Pytorch, Sklearn, Shap, FastAPI, PostgreSQL/Neo4JS, PostGIS, NumPy, Pandas, Docker, AWS services like RDS, Lambda, EC2, S3, ECS. 
  Résumé/CV: https://drive.google.com/file/d/1DvgAcrvBb1KN4MVHpyAxC06V-kjj1mwl/view?usp=sharing
  Email: shriram.sunder121091@gmail.com

Hi HN, I've been working on Data Science problems exclusively for the past 5 years, and gained a lot of supporting knowledge related to ML infrastructure during this time.

I'm most proficient in GIS and financial time-series datasets, like locations of shipping vessels/flight tracking/road traffic tracking as I've spent the most time with trading houses correlating asset prices to these movements.

I've got 7 years of experience with Python in general, and I'm really proficient with PostgreSQL (for any back-end task) and establishing pipelines for Machine Learning (ML) tasks (using Prefect for the past year or so).

I also work on data science problems exclusively, without the adjoining back-end problems (e.g just give me the data set and you'll get back a model).