Dilya Willink Email & Phone Number

Dubai, Ae

Dubai, United Arab Emirates

Berlin, Germany

▪ Developed from scratch and maintained different lead-time (1-26 weeks) time series demand forecasts of total number of orders for supply chain department operated on Azure Databricks. This forecast is done on the weekly bases and covers 6 countries in Europe;▪ Provided feature engineering support for forecasting project; ▪ Effectively integrated data science templates into CI/CD pipelines to ensure successful execution and streamlined forecasts;▪ Achieved enhanced performance and optimization by successfully converting R code into PySpark, incorporating the company's specific business logic to improve item-based forecasting;▪ Regular performed the achievements to stakeholders;▪ Involved into hiring process of data scientists & engineers.Technologies: Python, CLI, Azure, databricks, PySpark, Snowflake, API, Agile, DevOps

Potsdam Area, Germany

• Development & maintenance of greenhouse gases predicting models: algorithm, methodology,quality improvement;• Data analysis (trends, patterns, interconnections): extraction, cleaning, validating, integritychecks, wrangling & visualisation of sensor data (field measurements data, scientific data);• Reconstruction of missing data in time series by using machine learning techniques (randomforest, gradient boosting);• Development & maintenance of measured data (greenhouse gases data, meteorological data,animal related data) collecting system & streaming real-time records from remote sources;• Development of statistical models & methodologies for improving the measuring procedureand forecasting predictions of greenhouse gases;• Development & maintenance of computational fluid dynamics model for simulations of winddistribution profiles;• Analytical reports (including final project report) to the funding organisation, stake-holder iterations,organisation of several international conferences;• Training & mentor activity of juniors: training talks for the audience more than 50 people,mentoring individual bachelor students;• Regular performed the achievements of the working group on international scientific conferences;Technologies: R, Matlab, Python, Fortran, SAS, LaTex, AWS, Git, Linux, API, Agile

Potsdam Area, Germany

▪ Guest scientist, individually awarded, full project funding to develop new statistical long-range precipitation forecasts based on long-term interdependencies (teleconnections), statistical & machine learning approaches;▪ Development of statistical regression forecasting model based on long-term interdependencies: based on statistical & machine learning approaches (clustering, regression);▪ Strong experience in implementation of statistical verification techniques (ROC, attributes diagram, Fraction Skill score, Taylor diagram, Brier Skill score);▪ Developed a web application to visualise a global precipitation forecast;▪ Data acquisition from different sources (scientific data, sensor data), data analysis: cleaning, validating, integrity checks;Technologies: R, Linux, Python, Supercomputer, API, Agile, geo-vis, css, html

Москва, Россия

▪ Developed an operational statistical model of one month ahead predicting standardised precipitation index over Russia;▪ Calculated, prepared & delivered for a prime-time weather forecasts live on TV of the largest channel in Russia to an audience of over 50 million people;▪ Data acquisition (scientific, sensor, social-network & and webblogs data), data analysis: cleaning, validating, integrity checks;▪ Ability to explain complex topics to a diverse audience;▪ Coordinated the work of all research groups (5) in LAGAR project, reported directly to project stake-holders & partners, produced detailed reports;▪ Prepared documentations for intellectual property patenting, provided full documentation support for obtaining funding for projects (30 projects);Technologies: Linux, Matlab, R, API, Prime-time TV, SQL, Project requirements \& proposals, Excel

Moscow, Russia

▪ Collected and processed subsurface drilling profile data from oil wells;▪ Analysis of soil layers during subsurface drilling on oil wells;▪ Consulted customers about oil availability in the particular oil wells based on the obtained drilling profiles;Technologies: Matlab, R, Excel

Moscow, Russia

▪ Prepared 1-3 days forecasts, including hazards forecasts covering Moscow and Central Federal region (for aprox. 40 million people). ▪ Presented the forecasts on the daily stand up for media and customers;▪ Training & mentor activity of juniorsTechnologies: Matlab, Supercomputer, Linux, weather forecasting models (WRF, UKMO, GisMeteo, ECMWF)

Doctor Of Natural Sciences, Atmospheric Sciences And Meteorology

In Jan 2020 finished my PhD studies with the title of the thesis "Spatio-temporal precipitation patterns: from teleconnections to improved.

Master’S Degree, Finance And Financial Management Services, 4.8

Activities and Societies: group leaderManagement of enterprise, finance, IFRS, financial accounting

Diploma University Degree, Atmospheric Sciences And Meteorology

Activities and Societies: group leader, the leader of the faculty newspaperTitle of thesis: ”Thermal regime for cold season in Volga.