Stéphane M. Email & Phone Number

Montreal, Quebec, Canada

Montreal, Quebec, Canada

• Created machine learning models for professional categorization and market basket association.• Invented an innovative RFM segmentation unsupervised ML algorithm for customer categorization.• Developed Mix Marketing Modeling (MMM) algorithm to understand marketing efforts ROI.• Built machine learning engineering procedures to put HR job classification models in production.• Created and put in production a product recommendation system using association rules.• Developed a data transformation job in GCP to build a BigQuery database for search query automatic categorization using a translation API and natural language processing tools.• Mentored fellow data scientists in programming best practices.

Montreal, Canada Area

• Created a machine learning classification model employing Deep Learning and traditional ML methodologies to ascertain customer propensity for subscribing to a carbon offset program.• Developed and automated dynamic Google AdWords dashboards in Google Sheets, streamlining data visualization and enabling real-time campaign performance monitoring.• Skillfully constructed efficient web scraping programs using Python, Beautiful Soup, and Selenium, facilitating seamless extraction and analysis of valuable web data for diverse applications.

Laval, Canada

• Produced regression models in R to understand employee turnover rate.• Built a Python data engineering algorithm to identify billing inaccuracies, retrieving substantial revenue for the company.• Developed time series models to predict customer churn. • Developed an intuitive Excel-based front-end application using VBA and SQL, enabling employees to efficiently rectify identified data inaccuracies and streamline error correction, improving overall workflow.• Created a custom financial statement software solution with Excel (VBA) and MS SQL Server, offering users a user-friendly platform for generating accurate and insightful financial reports.

Montreal, Canada Area

• Developed comprehensive data mining algorithms for analyzing online and offline campaigns, providing holistic insights into marketing performance and informing decision-making.• Designed innovative text mining tools like tag clouds and search engines to analyze open-ended survey responses, improving customer satisfaction and targeted feedback.• Automated generation of weekly and monthly dashboards, including survey results, Google Analytics data, and ROI analysis, using Python, VBA, and advanced Excel programming for streamlined reporting.• Conducted in-depth customer base data mining, focusing on geographic and market segmentation, to uncover valuable insights and identify market opportunities for strategic growth.• Engineered a Google AdWords cost optimization tool to minimize online customer acquisition costs, enhancing the overall efficiency of marketing efforts.• Mentored many colleagues in improving their MS Excel skills.

Montreal, Canada Area

• Conducted meticulous website traffic analysis using Google Analytics, devising innovative methodologies to address data sampling challenges and ensure accurate insights.• Established and administered comprehensive databases using MS SQL Server and MS Access, optimizing data storage and management processes.• Designed and automated monthly and weekly performance dashboards, facilitating efficient monitoring and analysis of key performance indicators.• Developed an effective web scraping application to generate potential commercial customer lists, empowering targeted and data-driven outreach efforts.

Montreal, Canada Area

• Designed and analyzed surveys expertly, extracting valuable insights to inform strategic decision-making and optimize performance.• Led a team of interns on a conversion rate discovery project, fostering a collaborative and results-oriented environment.• Evaluated the effectiveness of various online tactics, enabling data-driven optimization and enhanced marketing outcomes.• Developed a tailored marketing campaign reservation software for internal use, streamlining campaign management and coordination processes.

Master Of Science In Analytics, Computational Data Analytics, Gpa: 4.0/4.0

Bachelor’S Degree, Marketing, Gpa: 4.08/4.30