Csaba Elekes Email & Phone Number

Budapest, Hu

Budapest

We are usually working on 1-3 month long client projects that involve business analysis, stakeholder communication data modelling and implementation of data pipelines, data transformation and reporting so that they can make data informed decisions.• FinTech startup - as a Product Data Analyst I'm embedded in a cross-funcitonal team. I am responsible for the analysis of new features, setting up, monintoring and analysing experiments and building reports and ad-hoc dashboards and give actionable insights and recommendations.• Internal product - I was working on the data architecture and data model of our new customer facing product.• Mobile game developer - Helped the Core BI team get up to speed with DBT and modern CI/CD pipelines during their platform migration project.• Online groceries retailer - I took part of the data modeling and reporting work for a reporting platform that replaced their old manual spreadsheet-based system. • Educational institution - I was in charge of the data ingestion part of the data platform and reporting project.• Global travel company - Implemented and productionised a solution to be able to identify customers across different devices (single customer view).Tools used: SQL, DBT, Looker, Snowflake, BigQuery, Databricks, Spark, Airflow, Fivetran, Data Vault

Budapest

• As a DS in a small data team my responsibilities covered reporting, various analyses and AB testing, optimisation of the data model, maintenance of the Spark cluster and evangelisation of data usage.• We conducted analyses to support data informed product development and provided actionable insights and recommendations.Tools used: Spark, SQL, Zeppelin, Airflow

Stockholm, Sweden

Data Scientist working on the Candy Franchise• As a DS working on Candy Crush Saga and Candy Crush Friends I was supporting the game teams with the day-to-day operations and product development from the data perspective. My work involved designing and analysing AB tests, creating tracking specifications, building and maintaining automated reports and dashboards with Looker, supporting data-driven business decisions, owning features from DS side, training new members of the team• I was also responsible for the bi-monthly 2-day training organised for new Data Scientists in the companyTools used: SQL, Jupyter notebooks, Plotly, Looker, GCP, BigQuery, ExaSol, Hive and Hadoop, Python and pandas, Jenkins, bash

London, United Kingdom

Data Scientist working on a Demand Side Platform (DSP)• Our team was building a Real Time Bidding platform to buy online ad placements for our games. I was responsible for segmentation, automation and data analysis. • I was also organising weekly Lunch & Learn events for the DS communityTools used: SQL, Hive and Hadoop, Python and pandas, Jenkins

Applying and optimizing machine learning and data mining algorithms to problems like image, speech and sign language recognition. My projects included text mining and topic recognition; image processing and car detection; code refactoring.Tools used: C, C++ and Java languages; SVN, kNN algorithms

I was responsible for the Data Mining Laboratory course, my responsibilities included• compiling the course material and deliver theory classes and seminars• preparing exam material• assigning and evaluating homework

Tampere, Finland

I spent a semester in Tampere, Finland working on two innovative projects assigned to multicultural student teams. I had the following tasks:• Project management in an international environment• Windows Phone game development• Innovation

I was developing a quiz application that was integrated with Facebook and sold to several companies for marketing purposes.Tools used: Facebook API, PHP, HTML, Javascript, SQL

I was conducting seminars in calculus and tutoring students

Master Of Science (Msc), Business Informatics

It Entrepreneurship

Bachelor Of Science (Bsc), Computer Science