Ilias Mokas Email & Phone Number

Copenhagen, Capital Region, Denmark

• As a Senior Data Scientist at Novo Nordisk, I lead the development and implementation of advanced analytics across the organization, fostering a data-driven culture under the initiative #bringdatatolife. Leveraging.
• Team Collaboration: Partner with data scientists, data engineers, business analysts, and ML engineers to transform Proof of Concepts (PoCs) into scalable solutions.💰 Driving Business Value
• Operationalization: Bring tangible business value by operationalizing machine learning models in real-world production environments (e.g., Marketing Mix Modeling for territory budget allocation, significantly impacting.
• ML Pipelines: Establish robust pipelines for data ingestion, cleaning, and transformation, preparing data for advanced machine learning applications.
• Insight Generation: Conduct explorative data and time series analysis to uncover actionable insights, driving strategic decision-making.
• MLOps Capabilities: Utilize platforms like Databricks and Snowflake to build MLOps capabilities for seamless model deployment and management through CI/CD and version control using tools like Git.🔬 Innovative Hackathons

Hasselt, Flemish Region, Belgium

Flemish Region, Belgium

• As a PhD researcher, I led groundbreaking research in virtual reality (VR) and advanced statistical modeling, driving significant advancements in understanding human preferences for non-market goods.🧪 Research and.
• VR Experiment Development: Pioneered a VR experiment using the 3DUnity platform, comparing advanced statistical models (stated preference discrete choice models) and machine learning algorithms (convolutional neural.
• Data Analysis: Expertly collected, cleaned, and analyzed data using R-Studio and Python, ensuring high-quality and reliable results.
• Experimental Design: Conducted rigorous experimental designs and A/B testing to measure respondent uncertainty between traditional surveys and VR, providing valuable insights into methodological effectiveness.📈 Impact.
• On-Campus Experiment: Successfully organized a large-scale on-campus experiment with 200 participants, enhancing the research’s validity and impact.
• Project Proposals: Contributed to three project proposals that secured funding for research, demonstrating the relevance and potential of the studies.

Santa Barbara, California, United States

- Developed a latent class logit models and deep neural networks (DNN) algorithms. I focus on evaluating model performance and developing a hybrid DNN-choice model that elicits interpretable coefficient estimates.- Develop a random parameter logit model to explain households’ decision to own electric vehicles.

Copenhagen Area, Denmark

- Conducted research at the Digitalization Department of CBS to classify sharing economy companies into categories based on attributes e.g. tight or loose control over participants.- Supervised students to develop machine learning algorithms (i.e., random forest).

Ispra, Italy

- Conducted applied econometric work (developed a fixed-effect model in R), using satellite data, to quantify the impact of climate change on coastal Sub-Saharan populations.- Collected and cleaned socio-economic data for the European Commission database. Created basic descriptive statistics in Tableau and R ggplot.

Athens, Greece

- Tracking and recording transactions - Payroll and cash desk management

Phd, Business Economics

Advanced Big Data Analytics In Python, Parallel Programming With R (Part Of My Phd Requirements)

Master Degree, Applied Economics

Master Degree, Engineering

Bachelor'S Degree, Economics And Finance

Activities and Societies: Basketball