About

I am Principal Data Scientist (Machine Learning) with electronics engineering background. I like to engage with data, build data products and help others make data-informed decisions. I always ask they whys and the why nots and I encourage others to question their assumptions. I care about algorithmic fairness and I try to trigger others to think about it. I am a certified instructor from different entities including The Carpentries and I enjoy teaching coding and data-science related skills.

Talks

Full-Length Talks (20-60 mins)

Nov 2023 - Digitale Leute Summit (Invited Talk)

  • Cloudy with a Chance of AI: System Design Beyond Prototypes

Oct 2023 - TechGetTogether Conference

  • Drawing the F***ing Owl: How to Really Build AI-Based Products!

Nov 2022 - TechGetTogether Conference

  • Machine Learning System Dynamics: Beyond Model Development

Oct 2022 - Hochschule Fresenius (Guest Lecture)

  • A Glimpse of The Data Science and Machine Learning World in Practice.

Feb 2020 - [Data Science Meetup - Düsseldorf] (Invited Talk)

  • Machine Learning Interpretability: WHy and How!

Apr 2019 - SatRday Johannesburg (Keynote Speaker)

  • Interpreting Machine Learning Models: Why and How!

Nov 2018 - Datafest Tbilisi (Invited Talk)

  • The Data Lorax: Planting the Seeds of Fairness in Data Products

Sep 2018 - EARL London

  • Beyond Prototypes: A Journey to The Production Land

May 2018 - eRum Budapest

  • Fitting Humans Stories in List Column: Cases from an Online Recruitment Platform

Dec 2017 - Riseup Summit Cairo

  • Once Upon a Data: Crunching Chaotic Numbers into Compelling Stories

Nov 2017- EARL Boston

  • Fitting Humans Stories in List Column: Cases from an Online Recruitment Platform

Lightning Talks

Nov 2018 - Rladies Tbilisi Meetup

  • Machine Learning Interpretability: The LIME Way!

May 2018 - Rladies Budapest Meetup

  • Stringr Explorer: Tweet-Driven Development for a Shiny App

Teaching

Online

DataCamp

  • Interactive Data Visualization with rbokeh*

Workshops

Dec 2023 - Organisation for Economic Co-operation and Development

  • Git and Gitlab.

March 2022 - University of Strasbourg

  • Programming and Plotting in Python + Git.

Jan 2020 (Teaching Assistant) - Rstudio::conf

  • Deep Learning with Keras and TensorFlow in R.

Apr 2019 (Main Instructor) - SatRday Johannesburg

  • Building Web Applications with Shiny.

Nov 2018 (Main Instructor) - Datafest Tbilisi

  • Tidyverse for Data Manipulation and Visualization.
  • Delving into The Depths of ggplot.

Other Activities