Summary
I am a data scientist and AI product builder with 6+ years of experience across marketplaces, banking, and e-commerce.
My work sits at the intersection of analytics, experimentation, machine learning, and software engineering. I partner closely with product and engineering teams to define metrics, design experiments, ship AI-powered tools, and turn data work into practical product outcomes.
Current Focus
At SMG Swiss Marketplace Group, I lead the real estate data science roadmap from both product and technical angles.
Current areas of work:
- cross-functional data science initiatives for B2B and B2C marketplace products
- multilingual generative AI applications, automation tools, and chatbot services
- performance prediction and recommendation systems
- A/B testing and simulation-based decision support
- mentoring junior teammates and supporting AI adoption
Experience
Lead Data Scientist
SMG Swiss Marketplace Group | Zurich | January 2024-present
- leading the real estate data science product roadmap across multiple product domains
- delivered 10 cross-functional data science initiatives in the first year
- researched and trained prediction models for real estate performance indices used in Google Ads placement optimization
- designed and deployed multilingual generative AI applications including content generators, automation tools, unstructured text processing flows, and a chatbot microservice
- implemented recommendation engines for real estate marketplaces
- ran user A/B tests and ML-based simulations to support strategic decision-making
- trained and mentored junior teammates and interns
Tech stack: Apache Airflow, FastAPI, Docker, AWS, Snowflake, SQL, Python.
Data Science Lead
UBS | Zurich | July 2020-December 2023
- led the scaling and deployment of the team’s insights delivery pipeline across an 8-person data science team
- accelerated new use case delivery by more than 50%
- helped pioneer generative AI enablement by building a RAG chatbot for cross-functional stakeholders using ChatGPT models on Azure ML
- implemented NLP and classical ML models for identification and ranking of sales and marketing leads
- created internal MLOps infrastructure that significantly accelerated model deployment in a regulated environment
- established best practices for feature store integration, AutoML optimization, and model deployment
Tech stack: Python, Cloudera, DB2, SQL, Azure, Azure ML.
Data Scientist
Amazon | Luxembourg | July 2019-June 2020
- built large-scale transportation network analytics and machine learning models
- developed a high-performance ML-based transportation network simulator used in discrete optimization settings
- worked with Airflow and PySpark pipelines on 350 TB of compressed data
Supply Chain Data Science Intern
Amazon | Luxembourg | February 2019-July 2019
- developed a deep learning time series forecasting model using LSTM and Keras/TensorFlow
- improved forecast accuracy by 46% RMSE versus the previous methodology
- benchmarked against classical white-box approaches including ARIMA, SARIMA, SARIMAX, and TES
Skills
- data science product management
- generative AI and LLM applications
- SQL and Python
- A/B testing and statistical analysis
- AI enablement
- model training and fine-tuning
- AWS and Azure
- stakeholder management
Education
MSc in Data Science | EIT Digital Double Degree
Polytechnic University of Milano and KTH Royal Institute of Technology | 2017-2019
- major in data science with a minor in innovation and entrepreneurship
- specialization in distributed systems and data mining for big data
BSc in Computer Science
Technical University of Moldova | 2012-2016
- thesis on sentiment analysis of social media
- coursework included calculus, statistics, C++ software engineering, and assembly for OS development
Languages
- English - full professional proficiency
- Romanian - native
- Russian - full professional proficiency
- German - A2, working toward B1
- Italian - A2
Interests
- ♟ Chess
- 🎸 Guitar
- 🎿 Skiing
- 🏐 Volleyball