Personal details

Oxana L. - Remote

Oxana L.

Timezone: Tallinn (UTC+3)

Summary

Software engineer working at the intersecion between web development and data science. Developing backend services for data intensive applications, putting machine learning models in production, creating interactive data visualisation.

I am a full-stack data scientist, hungry for new insights and data bringing real value, passionate about sharing my knowledge and expertise and communicating my findings.

Work Experience

Senior Data Science Consultant
IBM | Mar 2018 - Feb 2019
Python
R
Nltk
Shiny
Kubernetes
I have been working as a senior consultant in data engineering & machine learning. Mentoring junior data scientists and participating in all aspects of data science projects ( modelling & exploratory analysis, frontend & backend development, dev operations ) [ May 2018 - February 2019 ] for City of Stockholm: IoT data, traffic flow modelling. Worked on creating interactive dashboards using R/Shiny as well as on the ML model for traffic predictions backend using Python/Flask/Docker/Kubernetes [ October - January 2018 ] for Volvo Trucks: natural language processing application Worked mostly on the backend side, deploying Python (NLTK, gensim, scikit-learn) ML models on IBM Cloud/Kubernetes.
Consultant
Kamishi AB | Jan 2013 - Mar 2018
HTML/CSS
Python
Angular
Flask
R
D3.js
JavaScript
Nov 2017 – Mar 2018 Consulting for The Swedish Institute in collaboration with Whispr Group. Analysed social media posts using R and Crimson Analytics tool. Jun 2015 – Nov 2017 Consulting for Mentimeter AB: frontend web development and improving voting results visualizations (d3.js) Mar 2015 – Jun 2015 Consulting for Plot.ly - Python API development, python notebooks for bioinformatics Sep 2014 – Mar 2015 Consulting for EdQu - front-end web development of an online learning tool for schools, interactive data visualizations of school's ratings for principles Jun 2014 – Nov 2014 Vanadis Diagnostics, now PerkinElmer (2015) - bioinformatics at a molecular diagnostic startup, assisting a team of chemists and physicists in R&D