I am a Data Scientist who enjoys rock climbing in my free time, challenging myself both mentally and physically. I also have a passion for cooking new recipes from around the world and exploring different cuisines to satisfy my taste buds. Additionally, I find solace in practicing yoga to maintain balance and mindfulness amidst the demands of my analytical work.
- Mail: david.reis@aman.com
- Address: The Aman Canal Grande, Venice, Italy
- Phone: +39 041 2707333
- Name: David Reis
- LinkedIn: linkedin.com/in/davidreisvenice
1. As a Data Scientist at TechInsight, I utilized machine learning algorithms to develop predictive models for customer behavior analysis from 2012 to 2015.
2. At DataTech Solutions, I led a team of data analysts in implementing data-driven strategies to optimize marketing campaigns between 2016 and 2018.
3. During my tenure at AnalyticWorks Inc. from 2019 to 2020, I spearheaded the development of a real-time dashboard for monitoring key performance indicators across multiple departments.
4. Currently, as a Senior Data Scientist at Insightful Analytics since 2021, I am responsible for leveraging big data technologies to drive actionable insights for business decision-making.
Proficient in Python, R, and SQL for data manipulation and analysis. Skilled in machine learning algorithms and statistical modeling to derive actionable insights from complex datasets.
- Published a paper on "Predictive Modeling in Healthcare" in the Journal of Health Informatics, 2011
- Co-authored a research article on "Natural Language Processing for Sentiment Analysis" in the Proceedings of the International Conference on Data Science, 2012
- Presented a poster on "Machine Learning Techniques for Fraud Detection" at the IEEE Conference on Big Data Analytics, 2013
- Contributed a chapter on "Deep Learning Applications in Image Recognition" to the book Advances in Artificial Intelligence, 2014
- Received Best Paper Award for "Time Series Forecasting Using Recurrent Neural Networks" at the ACM Symposium on Machine Learning, 2015
- Collaborated on a study titled "Ethical Considerations in AI Development" published in the Journal of Ethics in Technology, 2016
- Led a team project resulting in a publication on "Optimizing Recommendation Systems with Reinforcement Learning" in the Journal of Data Mining and Knowledge Discovery, 2017
- Master of Science in Data Science, Technical University of Munich, 2011
- Bachelor of Science in Computer Science, Ludwig Maximilian University of Munich, 2009
1. As a Data Scientist at TechInsight, I utilized machine learning algorithms to develop predictive models for customer behavior analysis from 2012 to 2015.
2. At DataTech Solutions, I led a team of data analysts in implementing data-driven strategies to optimize marketing campaigns between 2016 and 2018.
3. During my tenure at AnalyticWorks Inc. from 2019 to 2020, I spearheaded the development of a real-time dashboard for monitoring key performance indicators across multiple departments.
4. Currently, as a Senior Data Scientist at Insightful Analytics since 2021, I am responsible for leveraging big data technologies to drive actionable insights for business decision-making.
I am a Data Scientist who enjoys rock climbing in my free time, challenging myself both mentally and physically. I also have a passion for cooking new recipes from around the world and exploring different cuisines to satisfy my taste buds. Additionally, I find solace in practicing yoga to maintain balance and mindfulness amidst the demands of my analytical work.
- Master of Science in Data Science, Technical University of Munich, 2011
- Bachelor of Science in Computer Science, Ludwig Maximilian University of Munich, 2009
- Published a paper on "Predictive Modeling in Healthcare" in the Journal of Health Informatics, 2011
- Co-authored a research article on "Natural Language Processing for Sentiment Analysis" in the Proceedings of the International Conference on Data Science, 2012
- Presented a poster on "Machine Learning Techniques for Fraud Detection" at the IEEE Conference on Big Data Analytics, 2013
- Contributed a chapter on "Deep Learning Applications in Image Recognition" to the book Advances in Artificial Intelligence, 2014
- Received Best Paper Award for "Time Series Forecasting Using Recurrent Neural Networks" at the ACM Symposium on Machine Learning, 2015
- Collaborated on a study titled "Ethical Considerations in AI Development" published in the Journal of Ethics in Technology, 2016
- Led a team project resulting in a publication on "Optimizing Recommendation Systems with Reinforcement Learning" in the Journal of Data Mining and Knowledge Discovery, 2017
Proficient in Python, R, and SQL for data manipulation and analysis. Skilled in machine learning algorithms and statistical modeling to derive actionable insights from complex datasets.
- Mail: david.reis@aman.com
- Address: The Aman Canal Grande, Venice, Italy
- Phone: +39 041 2707333
- Name: David Reis
- LinkedIn: linkedin.com/in/davidreisvenice