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(Päivitetty 2024-03-07)AI Konsulent
Århus, Danmark
Äidinkieli Danish, English
- +6 års erfaring i Data Science, Machine Learning, Econometrics og AI
- AI projekt ledelse, Forskning og Revenue Growth Management
- +6 års erfaring med Python/R og SQL
Taidot (45)
Algorithm
Machine Learning
DATA SCIENCE
databricks
Project Management
Research
STATISTICAL ANALYSIS
Apache Airflow
Microeconometrics
SQL
CODING
Puppeteer
Artificial Intelligence
PREDICTIVE ANALYTICS
TEACHING
communication
R
double machine learning
Leadership
RESEARCH AND DEVELOPMENT
ADVANCED ANALYTICS
FORECASTING
Time series
CAUSAL INFERENCE
Python
Causal Machine learning
MLOps
TypeScript
CI/CD
Azure
Pytorch
REINFORCEMENT LEARNING
JavaScript
Docker
CODE GENERATION
Deep Learning
DevOps
FINANCE
React.js
RETAIL
API
CONTINUOUS INTEGRATION/DELIVERY
OBJECT-ORIENTED
VBA
C++
Yhteenveto
complex business challenges by applying economic thinking,
leveraging tools from Econometrics, and employing cutting-edge
Data Science methodologies. My versatile background spans
project management, stakeholder engagement, communication, and development aspects crucial for successful data science initiatives.
Currently, as the Founder and CEO of Consult AI, a Denmark-based
Data Science/AI software and consultancy startup, I've delivered
impactful consulting projects with estimated annual gains of 4mm
Euro and an additional 1.5mm Euro. Beyond monetary benefits,
these projects have positively impacted logistics, environmental
sustainability, customer satisfaction, and automated processes.
Our focus now includes the development of web applications and software suites to expand our product pipeline.
My journey includes a Ph.D. from Aarhus University, where I delved into big data, treatment effects methods, machine learning, AI,
predictive modeling, and econometrics. My research, involving
extensive work with large micro data registers, has contributed to quantifying individual health, forecasting mortality, identifying
health inequalities, and optimizing retirement allocation through
reinforcement learning.
As an educator, I've lectured on programming using R and C++ and supervised numerous theses and internships, showcasing my
commitment to nurturing the next generation of data scientists. I
am particularly proud of my ability to encourage, teach, and guide
students through academic and mental challenges, enabling them to deliver top results.
I am passionate about embracing new opportunities and challenges.
Let's connect and explore how my expertise can contribute to your
company or team's success!
Erfaring
Työkokemus
2023-04 - Nykyhetki
2023-10 - 2024-01
Ballerup, Hovedstaden, Danmark Description: Led the technical side of a transformative initiative to enhance IT efficiency and decision-making through the creation and automation of ETL pipelines, data warehousing, and BI reporting for technical debt analysis.
Key Responsibilities/Actions: * Developed and implemented ETL data pipelines using Apache Airflow, integrating multiple sources and file types.
* Established a data warehouse setup with curated data, linking business logic with VBA and Power Query.
* Created an initial project tool in VBA and Power Query, evolving into a fullfledged BI reporting application using Python (Streamlit) for data visualization, object-oriented coding, and SQL-based backend data layer.
* Instituted principles of data management and governance, ensuring adherence to modern standards in data architecture.
* Fully automated processes from data ingestion to BI reporting, optimizing workflows.
Achievements/Results:
* Delivered automated workflows and BI tools, streamlining processes for technical debt analysis.
* Successfully advocated for the adoption of modern and agile tools, improving workflows and maintainability.
* Empowered stakeholders to make informed decisions regarding current and future technical debt and associated costs.
Stakeholder Engagement: Communication with a steering group and a team of 2 project leads, fostering collaboration and ensuring alignment with project goals.
Value Proposition: This role epitomizes my proficiency in software architecture, data management, and BI reporting, coupled with strong advisory and stakeholder management skills, showcasing my ability to drive transformative projects in complex environments.
2023-08 - 2023-10
Ballerup, Hovedstaden, Danmark Description: Contracted by the Danish Ministry of Defence's Acquisition and Logistics Organisation, I led the transformation of data pipelines and implemented Pretrained Generative AI for Harmonised System code generation.
Responsibilities: * Engineered an automated data and AI solution, utilizing API calls to pretrained Large Language Models.
* Provided expert guidance on development and AI strategies, leading progress evaluations with stakeholders and the project group.
* Actively engaged the working group, facilitating project progression, and conducted comprehensive training sessions for non-tech employees.
Stakeholders:
* Led the project collaborating with a team of 4, directly involving management from IT and Master Data Governance.
Results: * Estimated project savings of 1.5 million Euro and 20 years of man-hours.
* Automated data and workflows, enhancing data management and AI integration.
* Achieved 100% satisfaction among the stakeholder group.
* Successfully implemented Generative AI, exceeding expectations.
Value Proposition: Demonstrates my expertise in data handling, advisory capabilities, and effective stakeholder management, showcasing a proven ability to drive impactful AI projects with tangible results.
2023-01 - 2023-09
Collaborated with a diverse team, from senior directors to IT managers.
Responsibilities: * Developed ML/AI prediction model for daily-level forecasts.
* Facilitated progress meetings and guided technical direction.
* Scoped production potential, established MLOps, and directed development.
* Set up Data and ML flow for MLOps, allowing CI/CD/CT and model comparison.
Stakeholders: * Led the project collaborating with a team of 10-12, fostering collaboration between business and IT professionals.
Results: * Exceeded target prediction accuracy by 20%, improving profits, logistics, and environmental impact.
* Estimated 400,000 Euro savings in the Danish market, with 4 million Euro annual savings in key Northern European markets upon full roll-out.
* Pioneered successful commercial-sided data science projects.
Methodology: Applied Simple Linear Regression, Autoregressive Models, Hierarchical Linear Models, Decision and Classification Trees, Bagging, XGBoost, LightGBM, Random Forest, and initial attempts with encoder-decoder LSTM.
Value Proposition: Expert in predictive analytics, ML, and project management. Blending technical acumen with strategic foresight, I drive transformative initiatives, delivering impactful results and pioneering commercial data science.
2022-01 - 2023-02
Responsibilities: * Orchestrated the full product lifecycle, demonstrating expertise in data science applications from ideation to deployment.
* Applied machine learning methods for Revenue Growth Management in Pricing and Promotions across diverse retail channels and local markets.
* Led a comprehensive BI Dashboard project, automating key analyses for Customer Marketing teams and Senior Management across crucial markets.
* Successfully deployed a pricing algorithm to production, shedding light on price sensitivity and competitive dynamics for brands, SKUs, and categories.
* Managed, mentored, and hired for a small data science team, fostering growth and expertise.
* Engaged in stakeholder management across diverse European markets, showcasing adaptability and collaboration skills.
* Advised senior management on a multimillion-euro investment in a companywide advanced analytics project.
Results: * Led BI dashboards through the full lifecycle, providing critical data access to stakeholders and automating key BI analyses.
* Deployed a pricing algorithm, offering crucial market insights for strategic pricing and promotion decisions.
* Currently spearheading a project on market pricing, shifting the company's focus to causal inference.
* Initiated and led the development of a growing Data Science function within Commercial Operations and Marketing.
Value Proposition: Played a pivotal role in driving data science initiatives at Arla, overseeing end-to-end projects, and applying advanced ML/AI algorithms for Pricing, Product Promotion, and Portfolio Management. My leadership in BI Dashboard projects, pricing algorithms, and team development underscores my commitment to delivering strategic insights and fostering growth within a dynamic commercial landscape.
2018-09 - 2021-10
The PhD programme entails teaching activities, advanced level courses and dissemination of research at esteemed international conferences.
Member of the esteemed and acknowledged Center for Research in Econometrics Analysis of Time Series (CREATES).
Teaching experience: Lecturer in Programming in Quantitative Economics at Aarhus University 2019 Lecturer in Programming in Quantitative Economics at Aarhus University 2020 Supervision experience having supervised several bachelor's and master's theses, master's level topics and interships in Econometrics and Machine Learning.
Active Conferences Participation: 2018: DGPE PhD Seminar 2020: CREATES Joint Econometrics-Finance Seminar 2020: DGPE PhD Seminar 2021: CREATES Joint Econometrics-Finance Seminar 2021: 9th Italian Congress of Econometrics and Empirical Economics (ICEEE) 2021: International Health Economist Assocation Conference (Machine Learning in Health Session) 2021: International Health Economist Assocation Conference (Quick Presentaion Round) 2022: 8th General Meeting of Danish Society of Health Economists (DSSØ) Aarhus University has a Triple Crown accreditation.
2019-10 - 2019-11
2014-06 - 2018-09