Position: Lead Data scientist, Machine Learning Engineer, Quantitative Researcher
Category: Data Science
English level: fluent
Years of experience: 7

Lead data scientist with successful product launches.
-Programming languages: Python, R

- Libraries: numpy, pandas, scikit-learn, keras, tensorflow, pytorch, many R packages

-Technologies: SQL, NoSQL, Docker, AWS

-Methods and Skills: Machine learning, deep learning for computer vision and NLP, statistics and probability theory, time series, generalized linear (mixed effect) models, GAM models, survival analysis and more

-Used NLP to build a product that recommends filmmakers. Processed the titles, descriptions and metadata of millions of video posts.

-Used object detection and image classification on images of restaurant meals to detect, classify and estimate the quantity of ingredients.

-Developed a churn prediction model for a large US-based software company. The model predicts the probability that a customer would churn three-to-six months ahead in time.

-Modeled the result of a clinical trial, specifically patients' reactions to the medication.

-Developed a predictive model for customer orders based on historical orders. 

-Trading strategy development for a Hong Kong based cryptocurrency hedge fund.

-Used NLP to create an app that detects addresses in webpages.
   
-Built a tool that automatically detects and presents insights/interactions of interest in numerical data..
       
-Used NLP to detect and classify points of interest using Common Crawl data.

-Developed an image recognition pipeline that detected, classified and counted products(snacks, drinks etc.) on shelves and fridge shelves.
Challenging and interesting projects. Good, open minded and professional colleagues. Ethical employer.

Prefer remote work