Leonard Seffer

I'm a Stockholm based Software Engineer passionate about backend engineering, distributed computing and machine learning.

About me

I am a natural problem solver with passion for machine learning, AI, applied statistics and programming. Having an impact is what drives me and is a source for great professional satisfaction. I am a big believer in life-long learning and therefore I actively develop my skills on my free time. Privately I enjoy the simple pleasures of life such as conversing with friends and hanging out with my dog and girlfriend. I like to stay active through floorball practice, gym and long walks with my dog.

Contact Details

Hit me up on LinkedIn or shoot an e-mail:
leonardseffer@gmail.com

Engineering Manager

Wolt

Jan 2019 - Present

Helping push data around

  • Building the next generation data platform for marketing
  • Lots of data engineering; Snowflake, Spark, Kafka
  • Lots of backend engineering; Go, Python, Postgres
  • Leading a team of 6 engineers
  • Previous roles at Wolt: Data Scientist, Data Engineer

Data Scientist / Analyst

Rovio Entertainment Corporation

Oct 2016 - Dec 2018

I have developed, deployed and maintained machine learning / deep learning models in the cloud for use in the business. A big focus early at the company was proactive and reactive analyses of game data and A/B tests. Through these my team helped game teams make better data-driven decisions. I have also automated / migrated a lot of legacy code and models to the cloud. I've built feature-rich, aggregate database table structures for various games and use cases. I am managing my business unit's automatic job executions and github repository.

Analyst

If P&C Insurance

Aug 2014 - Oct 2016

I was responsible for monthly reporting of KPIs and interpretation / presenting of results and implications to senior managers of the business area. I was also tasked with forecasting and planning the portfolio's future performance as well as proposing price actions. I developed new pricing models and validated their success, sometimes in collaboration with other analysts. I created automated reports from different datasources serving multiple stakeholders in the organisation. There was continuous analysis of the portfolio to find areas of improvement. I also did many ad-hoc analyses about customers, premiums and claims.

Arcada University of Applied Sciences

Big Data Specialization Studies

May 2016 - May 2017

Series of courses focused on analyzing, vizualising and modelling big data. In total 25 ECTS. Tools used were Apache Spark, Python, R and D3.js.

Åbo Akademi University

Master of Science

Aug 2009 - Jun 2014

A Master of Science degree in applied mathematics, with specialization in insurance and finance. Minor subjects were economics and statistics.

Backend engineering and data engineering. Big data and stream processing. High performance microservices. Go, Scala, Python, Spark, Kafka, Snowflake, Postgres, Kubernetes, Terraform