Senior Manager, Data Science
2022 - PRESENTOptimizely- Led the data science team composed of a mixture of junior and senior data scientists and data engineers.
- Built roadmaps and prioritized work for the data science team.
- Mentored and coached the team to grow both technically and professionally.
Technologies: Management, Leadership, Data Science, Machine Learning, Data Engineering, Cloud, Recommendation Systems, A/B Testing, Experimental Design, Artificial Intelligence (AI)Invited Instructor
2021 - 2022EDIT. Disruptive Digital Education- Taught data science and deep learning modules in the data science and business analytics program.
- Defined the course content for the data science and deep learning modules.
- Created slides and material for the data science and deep learning modules.
- Assessed the students of the data science and deep learning modules.
Technologies: Data Science, Machine Learning, Python, Statistics, Tutoring, Instructor-led Training (ILT)Data Science Consultant
2021 - 2022CKDelta- Took responsibility for end-to-end architecture, implementation, and delivery of one MVP to an energy solutions company and another to an electricity company.
- Leveraged mobility and geospatial data to predict the best locations for EV Charger installation across the UK.
- Estimated electricity network headroom geospatially.
Technologies: Data Science, Geospatial Data, Geospatial Analytics, Python, Databricks, Azure, Machine Learning, SQL, Pandas, PySpark, Azure DevOps, Tableau, Confluence, ETL, Git, Seaborn, Jira, LightGBM, Programming, Predictive Modeling, Startups, Electric Vehicles, Large-Scale Computing, StatisticsData Science Manager
2021 - 2021Metyis- Delivered a data strategy and roadmap of use cases for a large Benelux group.
- Defined candidate qualifications and conducted interviews.
- Built internal best practices and company awareness.
Technologies: Data Science, Machine Learning, Roadmaps, Management, Consulting, Data StrategyData Lead
2020 - 2021Barkyn- Defined roadmap of advanced analytics and reporting use cases.
- Developed Churn and next order predictive models and deployed them in containerized web applications.
- Built ETL pipelines using AWS services and created dashboard reports.
- Performed deep-dive business analysis such as LTV, repetition patterns.
Technologies: Data Science, Python, Machine Learning, SQL, Jira, Pandas, Scikit-learn, ETL, Git, Seaborn, Docker, Confluence, LightGBM, Monitoring, Modeling, Jupyter Notebook, Tableau, Amazon Web Services (AWS), PyCharm, NGINX, Flask, AWS Lambda, Redshift, AWS Elastic Beanstalk, Roadmaps, Programming, Web Scraping, Predictive Modeling, DBeaver, Natural Language Processing (NLP), Matplotlib, eCommerce, Startups, Text Mining, XGBoost, Statistics, A/B Testing, Large-Scale Computing, Big Data, Data StrategyLead Data Scientist
2018 - 2020NOS Communications- Created a model to predict Churn and dunning to prioritize welcome calls.
- Developed a model to predict equipment defects to avoid inefficient replacements.
- Created a model to predict technical recurrences to reduce customer attrition.
- Built a model to predict customer satisfaction, NPS, and voice of the customer (VoC) scorings.
- Created a model of sentiment analysis for customer surveys.
- Performed several developments for web scraping, including sites, forums, Facebook, Reddit, and LinkedIn.
- Led and mentored more than ten people. Some projects included predicting the recurrence of telecom problems, developing an intelligent call routing, predicting billing service requests and errors, and building chatbots for robotic process automation.
- Defined roadmap of analytical use cases for the department.
- Managed collaboration with universities and co-supervised MSc students.
- Defined cases and conducted interviews for the trainee program.
Technologies: Data Science, Optimization, Machine Learning, SQL, Mentorship, Jira, Pandas, Scikit-learn, ETL, Git, Seaborn, Deep Learning, Team Management, TensorFlow, Keras, PySpark, Hadoop, Docker, Confluence, LightGBM, Modeling, Monitoring, Microsoft Power BI, Apache Hive, Oracle, Azure, XGBoost, Roadmaps, Web Scraping, Programming, Predictive Modeling, DBeaver, Zeppelin, Jupyter Notebook, PyCharm, Natural Language Processing (NLP), Matplotlib, Telecommunications, Text Mining, Statistics, A/B Testing, Large-Scale Computing, Big Data, Data Strategy, Artificial Intelligence (AI)Team Lead Machine Learning Engineer
2018 - 2018Center for Computer Graphics- Led and mentored the machine learning team including Ph.D. students.
- Developed a business analytics system for the chemical sector of a large multinational company.
- Applied machine learning algorithms for the textile sector of a large national company.
- Involved in the initial phase of the development of a scalable and automated machine learning system for the security sector of a large national company.
- Developed a recommendation system for the retail sector of a national company.
- Interacted directly with clients and other stakeholders.
- Led technical writing of multi-million euro funding proposals.
- Involved in the creation of the Collaborative Laboratory ProChild CoLAB against Poverty and Social Exclusion.
Technologies: Optimization, Data Science, Python, Machine Learning, SQL, Matplotlib, Algorithms, Technical Writing, RStudio, Jira, Pandas, Scikit-learn, ETL, Git, Seaborn, Deep Learning, Team Management, TensorFlow, Keras, PySpark, Hadoop, Jupyter Notebook, AutoML, Programming, Predictive Modeling, R, R Studio, Natural Language Processing (NLP), Research, Development, Consulting, Large-Scale Computing, Big Data, Artificial Intelligence (AI)Research Associate
2017 - 2018Institute of Telecommunications- Proposed novel system architectures for connecting e-health devices directly to the Internet.
- Created models and optimizations for e-health devices connecting directly to the internet.
- Wrote research papers and co-supervised MSc students.
Technologies: Optimization, Data Science, Python, Algorithms, Mentorship, MATLAB, Wireless, Linux, Subversion (SVN), Telecommunications, Software Development, Technical Writing, Distributed Systems, JSON, Software Architecture, IoT Protocols, Programming, Development, ResearchResearch Fellow
2012 - 2017Institute of Telecommunications- Designed energy- and latency-aware scheduling schemes to improve battery life on smartphones.
- Optimized and created a packet transmission scheduling model.
- Created a smartphone battery consumption model taking into consideration the different transmission technologies.
- Designed and benchmarked IoT middleware platforms and mobile gateway applications for a telecommunications company.
- Applied distributed computing and meta-heuristics to explore resource efficiency gains for multi-homed wireless devices.
- Characterized and created a model of radio frequency interference in vehicular networks.
- Wrote research papers, was involved in international collaborations, and co-supervised MSc students.
Technologies: Data Science, Python, Machine Learning, SQL, Matplotlib, Algorithms, Mentorship, MATLAB, Wireless, Linux, Subversion (SVN), Telecommunications, Software Development, Linear Programming, Bash, Technical Writing, RStudio, R, Distributed Systems, JSON, Software Architecture, IoT Protocols, JetBrains, PyCharm, Java, IntelliJ IDEA, Software Design, Grid Computing, Android, Metaheuristics, Programming, Operations Research, Predictive Modeling, Development, ResearchResearch Assistant
2010 - 2012Institute of Telecommunications- Developed resource allocation and decision algorithms leveraging advanced coding techniques.
- Characterized and created a model of packet collisions in vehicular ad-hoc networks.
- Wrote research papers and was involved in international collaborations.
Technologies: Optimization, Python, Algorithms, MATLAB, Wireless, Linux, Software Development, Linear Programming, Bash, C, C++, Programming, Research, Development, Telecommunications