Yaroslav Klimenko Email & Phone Number

Lausanne, Vd, Ch

Switzerland

• Ensure that the Omdena projects run smoothly, coordinating efforts of collaborators, Omdena team and the client – across 17 time zones, during end of year holidays period, and in the context of Covid-19 pandemics• Keep collaborators engaged and make them feel supported• Clarify scope of the project and key deliverables with the client• Present final output to the client• Perform technical tasks: Collect, prepare and visualise data (GIS, images, .csv) Create machine learning models Visualise data• Mentor junior Data Scientists

Berlin, Germany - Remote

Develop algorithms for optimisation of machinery spare parts stocks, reducing costs of stocking parts without increasing risk of downtime

Lausanne, Vaud, Switzerland

- Transferred classes of a school online during Covid-19 lockdown, providing training on digital tools and achieving >90% acceptance rate among students, with up to 100 assignments done online weekly- Organise high quality offline events, developing strategy of reaction to changes in sanitary rules- Run online advertising campaigns for local associations, measure their performance and adapt them- Help members of a public speaking club to develop their leadership skills- Learned one human and three programming languages

Yverdon, Vaud, Switzerland

Yverdon-Les-Bains

- Led applied research project (rents analysis in real estate)- Collected, clean and combine open source data- Performed econometric modelling and analysis using R- Prepared a working paper, identified opportunities for partnership with business

Rolle, Switzerland

Mission: manage lifecycle for 3 products on 27 European markets by coordinating efforts of cross-functional teamsData analysis:o Led studies on customer profile and market trendso Performed financial analysis, identified business opportunitieso Defined and followed-up KPI for the departmentProject management:o Led residual value analysis for a new model o Coordinated project on improvement of online content for customerso Launched new products (or new versions of existing ones) in EuropeKey achievement:Identified and implemented business opportunities improving performance of product portfolio (volumes +20%, profit +120%)

Moscow, Russian Federation

Mission: optimise performance of product portfolio in four markets (Russia, Ukraine, Kazakhstan, Belarus) Data analysis:o Evaluated market potential for a new model rangeo Analysed business performance and created action planso Supported Market Intelligence team with organization of qualitative studies

Moscow, Russian Federation

Mission: provide internal stakeholders (in national subsidiary, European and Global headquarters) with knowledge on Russian automotive market Data analysis:• Collected data on automotive data from various sources• Performed analysis of market data and prepared reports (market size, segment share, competition, prices evolution)• Collaborated with external data suppliers to improve data quality• Improved efficiency of monthly trends reporting on Russian automotive sector by enhancing scope and granularity, increasing flexibility, improving quality of insights - while reducing preparation time by 80% (from one week to one day)

Trappes, France

Responsible for pricing strategy deployment for product portfolio (6 models of Light Commercial Vehicles) across 27 European markets. Supported definition of pricing strategy fur future products by providing competitors' benchmark.

Moscow, Russian Federation

• Collected and analysed data on Russian industry sectors (transports, petroleum, gas, mining), wrote articles and analytical reports• Participated to project of relation analysis between oil prices and Russian GDP (time series analysis)

Phd Studies In Econometrics And Quantitative Economics

Activities and Societies: Choir (as singer and organising committee member)• Taught up to 80 people on statistics, econometrics using SAS.

Postgraduate Diploma, Machine Learning And Artificial Intelligence, 100/100

Fundamentals of AI and machine learning and their application to solve complex, real-world problems using Python. - Supervised Machine.

Master, Economics (Microeconomics And Applied Econometrics)

Master, Economics (Mathematical Methods Of Economic Analysis)

Education record