• Processing, cleaning, structuring, and analyzing data collected from various sources (MySQL databases, APIs, survey data, external databases extracts, web scraped data, etc.)• Interactive data visualization of large datasets with Bokeh, Plotly, and Highcharts• Networks visualization with Gephi and NetworkX• Creation of interactive maps using Python, Folium, and Choropleth, conversion of ArcGIS (.shp) files to GeoJSON with QGis• Customer clustering using K-Means, DBSCAN•… Show more • Processing, cleaning, structuring, and analyzing data collected from various sources (MySQL databases, APIs, survey data, external databases extracts, web scraped data, etc.)• Interactive data visualization of large datasets with Bokeh, Plotly, and Highcharts• Networks visualization with Gephi and NetworkX• Creation of interactive maps using Python, Folium, and Choropleth, conversion of ArcGIS (.shp) files to GeoJSON with QGis• Customer clustering using K-Means, DBSCAN• Design and maintain data reporting dashboards (including use of Business Intelligence tools like Quicksight or Power BI)• ETL using the AWS data pipeline (including S3, Glue, Quicksight), event scheduling using AWS lambda• Application of NLP techniques (NLTK, Gensim) to analyze sentiments in customer reviews scraped from social networks & mobile app stores• Design of online surveys to measure brand awareness, ad recall, customer perceptions, and attitudes (management of all steps of the market research process, including identification and definition of key issues to solve, questionnaire design, logic implementation, link testing, data collection management & live results monitoring, data analysis, creation of slide decks and dashboards to report results) Show less

• Performed statistical analysis and data modeling with Python using Scikit-Learn, Pandas, Numpy and many other libraries.• Used appropriate data visualization tools (Matplotlib, Seaborn, Altair) to communicate findings, created clear and reproducible reports to stakeholders• Created online applications using Flask and Heroku cloud application platform• Built, implemented, and evaluated data science problems using appropriate supervised or unsupervised machine learning models and… Show more • Performed statistical analysis and data modeling with Python using Scikit-Learn, Pandas, Numpy and many other libraries.• Used appropriate data visualization tools (Matplotlib, Seaborn, Altair) to communicate findings, created clear and reproducible reports to stakeholders• Created online applications using Flask and Heroku cloud application platform• Built, implemented, and evaluated data science problems using appropriate supervised or unsupervised machine learning models and algorithms• Applied question, modeling, and validation problem-solving processes to datasets from various industries in order to provide insight into real-world problems and solutions• Conducted Exploratory Data Analysis (EDA), feature engineering, and data pre-processing• Retrieved data (web scraping) using BeautifulSoup, Requests-HTML, Gazpacho, and Selenium Show less

Main Role: Project Management and Data Analysis:- Between 5 and 10 different projects managed simultaneously with recruitment budget value per project going from 10,000 to 200,000 USD - Projects run globally (with a high focus on US, EU5, China, and Japan)- Management of difficult stakeholders (internal clients, recruitment agencies), and situations (data quality, sample, timelines reductions issues)- Ability to troubleshoot issues at every stage of the project… Show more Main Role: Project Management and Data Analysis:- Between 5 and 10 different projects managed simultaneously with recruitment budget value per project going from 10,000 to 200,000 USD - Projects run globally (with a high focus on US, EU5, China, and Japan)- Management of difficult stakeholders (internal clients, recruitment agencies), and situations (data quality, sample, timelines reductions issues)- Ability to troubleshoot issues at every stage of the project life-cycle- Capacity to design complex client-custom data analysis and create PPT and Excel deliverables Tasks: - Planning and scheduling project timelines according to client expectations and vendor capabilities- Vendor/client management: providing updates, communicating issues relative to timelines, quotas, or budget, and offering different options/solutions to solve them.- Management of assigned resources to ensure good project progress and speed-up the resolution of issues.- Review of project bids, SOWs, final invoices (created a tool to compare project bids)- Creation of custom pivots tables according to internal/external client needs- PPT and Excel deliverable designSecondary Roles: Survey Design and Data Collection Management: - Qualitative review of the client questionnaire - IT logic design of online surveys - Online survey links debugging - Data quality reviews (thorough review of collected data focusing on quality of answers (identification of speeders, straight liners and outliers)- Management of respondent callbacks.- Recruitment and training of junior analysts Show less

Tasks:- Managing each phase of data life-cycle, including: collaborating with clients to define needs and project specifications; designing surveys and data-collection tools (including IT logic design and debugging of online surveys); supporting research team- Analyzing data; ensuring data quality control; and creating custom Excel or PPT deliverables- Planning and scheduling project timelines; managing assigned resources; providing regular updates regarding project progress… Show more Tasks:- Managing each phase of data life-cycle, including: collaborating with clients to define needs and project specifications; designing surveys and data-collection tools (including IT logic design and debugging of online surveys); supporting research team- Analyzing data; ensuring data quality control; and creating custom Excel or PPT deliverables- Planning and scheduling project timelines; managing assigned resources; providing regular updates regarding project progress and resolution of issues; maintaining consistent communication with the customer and the vendor; ensuring that projects are completed on time and within budget.- Implemented project-improvement initiatives via review meetings and the incorporation of client data and feedback- Participated in company's innovation meetings for the creation of new products, the extension of the company’s business to new markets, and the improvement of existing processes. Show less

Recruitment of leading medical specialists for their participation to online surveys or phone interviews (working on 3 to 6 projects simultaneously, with an average of 50 regular respondents a month per project). Management of call-backs after review of data quality and evaluation of accuracy of respondents answers.