π¦ Vincent Quantmeyer Email & Phone Number
@blinkist.com
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Who is π¦ Vincent Quantmeyer? Overview
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π¦ Vincent Quantmeyer is listed as Machine Learning and Data Engineer at horizoom GmbH, a with 26 employees, based in Berlin, Germany. AeroLeads shows a work email signal at blinkist.com and a matched LinkedIn profile for π¦ Vincent Quantmeyer.
π¦ Vincent Quantmeyer previously worked as Machine Learning Engineer at Horizoom Gmbh and Teaching Assistant at Utrecht University. π¦ Vincent Quantmeyer holds Master Of Science - Ms, Artificial Intelligence, 8.77 (Cum Laude) from Utrecht University.
Email format at horizoom GmbH
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About π¦ Vincent Quantmeyer
I am an analytically minded person with a deep interest in machine intelligence, the real problems it can solve, and the question of how to control and align it with human values. My professional experience of 8 years spans work as ML Engineer, Product Analyst, Research and Teaching Assistant. My original academic background is in Psychology and I recently completed a second M.Sc. in Artificial Intelligence, which I completed with a cum laude degree and a final thesis that was turned into a scientific publication. I have developed company training courses, mentored colleagues, led mindfulness meditations in-house and at conferences, and taught Statistics to undergraduate students at university. In the last year or so, Iβve become a fascinated reader of human biology and medicine. Please feel invited to reach out if you're curious to hear more.
Listed skills include Data Analysis, R, Statistics, Sql, and 13 others.
π¦ Vincent Quantmeyer's current company
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π¦ Vincent Quantmeyer work experience
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Machine Learning Engineer
ML response prediction and fraud detection. I worked as horizoom's first ML Engineer within the Tech & Product team. I built a response prediction model to predict whether panelists will respond to survey invites within different timeframes. I collaborated on the feature engineering with a topic expert and BI Analyst, fine-tuned the model on custom performance metrics and deployed both the training and prediction pipelines in Airflow, closely collaborating with Data Engineers.I also developed a clustering-based approach to identify groups of fraudulent accounts. I liaised with Customer Support and Product teams to agree on the most critical types of fraud that should be targeted and focused my work accordingly. In the end, I built an interactive dashboard populated by my results that allows stakeholders to block fraudsters effectively.
Senior Data Scientist (Product Analytics)
I was responsible for all analytics needs of two Product teams, closely collaborating with Product and Engineering Managers. In my team, we ran monthly ML hackathons, prototyping new predictive models for various parts of the product and its architecture. Examples included appointment acceptance prediction and event outage modelling. General responsibilities included: - Exploratory analysis projects to find useful patterns in user behaviour - Prototyping of new ML models - Designing experiments to test new product features - Development and calculation of KPI equations - Event tracking and dashboard maintenance and improvements
Senior Data Analyst
I worked in Blinkist's BI team on all problems related to product and user behaviour. I also led a weekly meditation session. - Event tracking- KPI definition & calculation- Amplitude instrumentation & training- Matillion ETL setup & maintenance- A/B test ideation & analysis- SQL (Redshift), Python, Google Script, Git
Product Analyst
Personal Travel
I travelled through Thailand, Myanmar, Malaysia, and Singapore. In this time, I attended two silent meditation retreats (10 and 7 days long) to deepen my mindfulness practice and develop greater understanding of Buddhist philosophy.
Senior Analyst
Behavioural Design & Big Data Analytics:I used my understanding of Behavioural Science to inform the design and operations of places with large crowds of people, primarily in the transport sector. I have collaborated with experts from both the industry and academia. I analysed and visualised large datasets, such as cellular mobile phone data, Bluetooth beacon data, as well as more traditional sources like survey or administrative data, to derive insights into people movement, both on a macro level (such as a countrywide information system for highway traffic) and on a micro level (such as visitor movement patterns in a museum). On the technical side I used a healthy combination of R, SQL, Python and Excel. Having done consultancy work for 2.5 years, I am used to working against tight deadlines, handling the demands of multiple projects, and presenting results to clients in a clear and concise way. I have mentored new starters, and also designed and delivered technical training courses to get team members up to speed with our work.
Analyst
Research Assistant
I was in charge of data analysis in an interdisciplinary research project on consumer behavior. This project, run in collaboration with a major UK retailer, took a data-driven approach to investigate how consumers make decisions in a real-life shopping context. I also ran a social media analytics project on data from the Twitter API.
Student Statistics Tutor
I was employed in the Methodology section of the Institute of Psychology. I lead two weekly lab classes for undergraduate students on the contents of the Statistics class. I was responsible for the learning progress of ~60 students each semester, so my main task was to help students understand the topics discussed in the Statistics lectures and apply it in weekly homework assignments. To this end, I extracted the essential parts from the lecture scripts into concise summaries with suitable examples for each topic. In addition, I occasionally drafted presentations to illustrate particularly complex problems and help the students gain further insights. Moreover, I individually supported and prepared undergraduate students for their Statistics exams. Finally I was involved in the grading of the exams upon the end of each term. Throughout this time, I greatly improved my self-reliance and communication skills. In creating summaries, slides and small programs I also gained analytical and computational skills.I carried out all analyses and graphical illustrations in R.
Student Research Assistant
My responsibilities included planning, conducting and evaluating empirical research, run in the Methodology department by Prof. Wolf Schwarz.In collaboration with two other research assistants I strengthened my teamwork skills in organising research projects. In addition, I gained valuable insights into the practicalities of computer-based empirical research.
Private High School Tutor
I tutored high school students, mainly in Latin, also in Maths and English.
π¦ Vincent Quantmeyer education
Master Of Science - Ms, Artificial Intelligence, 8.77 (Cum Laude)
Master Of Science (M.Sc.), Social Cognition, 80, Distinction
Bachelor Of Science (B.Sc.), Psychology, First (German Grade: 1.5, "Very Good")
Frequently asked questions about π¦ Vincent Quantmeyer
Quick answers generated from the profile data available on this page.
What company does π¦ Vincent Quantmeyer work for?
π¦ Vincent Quantmeyer works for horizoom GmbH.
What is π¦ Vincent Quantmeyer's role at horizoom GmbH?
π¦ Vincent Quantmeyer is listed as Machine Learning and Data Engineer at horizoom GmbH.
What is π¦ Vincent Quantmeyer's email address?
AeroLeads has found 1 work email signal at @blinkist.com for π¦ Vincent Quantmeyer at horizoom GmbH.
Where is π¦ Vincent Quantmeyer based?
π¦ Vincent Quantmeyer is based in Berlin, Germany while working with horizoom GmbH.
What companies has π¦ Vincent Quantmeyer worked for?
π¦ Vincent Quantmeyer has worked for Horizoom Gmbh, Utrecht University, Doctolib Gmbh, Blinkist, and Private.
How can I contact π¦ Vincent Quantmeyer?
You can use AeroLeads to view verified contact signals for π¦ Vincent Quantmeyer at horizoom GmbH, including work email, phone, and LinkedIn data when available.
What schools did π¦ Vincent Quantmeyer attend?
π¦ Vincent Quantmeyer holds Master Of Science - Ms, Artificial Intelligence, 8.77 (Cum Laude) from Utrecht University.
What skills is π¦ Vincent Quantmeyer known for?
π¦ Vincent Quantmeyer is listed with skills including Data Analysis, R, Statistics, Sql, Behavioral Science, Python, Judgment And Decision Making, and Quantitative Research.
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