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Last update: 09.06.2020

Marketing Data Scientist

Graduation: MSc in Data Science and Computer Science
Hourly-/Daily rates: show
Languages: German (Full Professional) | English (Full Professional) | Italian (Full Professional) | Spanish (Full Professional)

Attachments

intro-dimitri-visnadi.pdf

Skills


I am a business oriented Data Scientist with over 7 years of industry experience scaling analytics solutions at small and large sized companies across Europe. After working for a Google partnered consulting company, I decided to move into freelancing. I hold a MSc in Data Science and a Bachelor’s degree in Business Administration, both giving me a solid foundation for bridging the gap between Business and Tech.

Toolbox
► Python [Numpy, Pandas, Scikit-learn, SciPy, Matplotlib, Flask] • SQL • Git • Bash
► Machine Learning • NLP • Spatial Systems • Information Retrieval & Data Mining
► AWS • Google Cloud Platform • BI Sisense • Power BI • Mode • Data Studio • Excel

Project history

11/2019 - Present
Marketing Data Scientist (Freelance)
self-employed (< 10 employees)
Internet and Information Technology
Working on a number of interesting client projects:
  • MarTech transformation - from no data to data lake
  • Customer Segmentation - finding different behavioral patterns
  • Predicting the likelihood of converting
  • Attribution Modeling - Where should marketers spend their budget

09/2018 - 10/2019
Data Scientist
Trakken Web Services
Google partnered consulting firm specializing in digital analytics and conversion optimization
Responsibilities & Achievements
* Built cloud hosted marketing attribution engine
* Designed live conversion probability model for eCommerce client
* Launched time series prediction app in R and Python hosted on Google App Engine
* Held workshops on strategic data analytics and data visualizations
* Consulted clients on feasibility of data projects
* Implemented Data Science projects using CRISP-DM
Technologies & Methodologies
* Python + Flask, Jupyter Notebooks, R + Shiny, BigQuery SQL, App Engine, Google Dataflow
* GitLab, Google Analytics, Data Studio, Google Sheets, Confluence, Visualizations

09/2017 - 08/2018
BI & Data Scientist
Casumo
First online casino that gamifies gambling experience
Responsibilities & Achievements
* Built Gambling Problem Detector using oneClass SVM and rule-based approach
* Created BI solution for companies early VIP detector
* Ran descriptive analysis of company's KPI performance over time
* Conducted A/B tests to evaluate best performing product versions
* Democratized data but giving company wide workshops on data science and BI
* Close collaboration with data engineers
Technologies & Methodologies
* Python + Flask, AWS RedShift, Jupyter Notebooks + widgets, API
* Sisense, Github, Visualizations, SCRUM, Agile

04/2017 - 08/2017
Customer Segmentation
Quiqup.com
London-based startup offering on-demand, short distance logistic solutions

Responsibilities & Achievements
* The marketing department wanted to proactively impact the customer journey. I build an unsupervised
clustering model that shows how clients progress from one segment to another over their life-time.
* Deliverable were clustering algorithm and custom made alluvial chart in order to understand clustering
behavior over time
Technologies & Methodologies
* Python, Jupyter Notebook, SQL, GitHub, Docker

05/2014 - 08/2016
Data Analyst
Hewlett-Packard
Multinational information technology corporation
Responsibilities & Achievements
* Created automated Excel reports using OCDB connection
* Analyzed +140 person sales team's performance and reported results to each supervisor
* Built internal newsletter in order to promote visibility among sales team and supervisors
* Prepared data visualizations for senior management presentations
Technologies & Methodologies
* R, Excel, VBA, OCDB-Connection, Powerpoint
* Salesforce, MS Access, QlikView

06/2013 - 12/2013
Marketing Analytics
Yoopies
Childcare platform available in 10 countries, leader in France
Responsibilities & Achievements
* Introduced analytics practices and ran customer analysis
* Create infographics that were published in several leading newspapers
* Customer segmentation
Technologies & Methodologies
* MySQL, GitHub, Excel, SPSS, Google Analytics, Facebook

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