YESSINE's CV
Profile summary
Experienced Senior Data Scientist with 5 years of progressive experience specializing in machine learning, predictive modeling, and business intelligence. Track record of delivering artificial intelligence solutions, multi-channel chatbots, and customer segmentation models across international retail and telecommunication projects. Committed to building scalable data workflows and operational dashboards that support executive decision-making and automated business processes.
Career highlights
Team Leadership: Led a team of 8 members delivering business intelligence, predictive analytics, and artificial intelligence solutions.
Machine Learning Models: Built predictive models identifying attrition risk based on organizational key performance indicators and behavioral data.
Technical Lead Projects: Served as technical lead on international grand account projects across retail and telecom verticals.
Conversational AI Systems: Developed a multi channel artificial intelligence chatbot using LangChain, RAG, Redis, and MongoDB for lead qualification.
Key skills
Professional experience
Directed a data and artificial intelligence team of 5 members, reporting to executive management. Managed the delivery of business intelligence, predictive analytics, and artificial intelligence solutions across international logistics operations.
- Built real-time operational dashboards using SQL and Zoho Analytics to support executive decision-making workflows.
- Developed a deal scoring model to prioritize high-quality leads across the sourcing pipeline.
- Designed an agent performance scoring system to manage sales deal allocation based on historical data.
- Built an AI-driven social media engagement platform across YouTube, Quora, X, and Reddit.
- Automated business email workflows using n8n to handle operational tasks.
Executed data science initiatives for an HR analytics platform, owning predictive modeling tasks and building software solutions to address workforce retention.
- Built predictive models identifying attrition risk based on organizational KPIs and behavioral data.
- Identified key drivers of employee churn using machine learning explainability techniques such as feature importance.
- Delivered actionable insights through interactive dashboards featuring per-employee recommendations.
Directed technical initiatives for international grand-account projects across Retail and Telecom verticals, reporting directly to regional stakeholders while managing cross-functional delivery. Oversaw client communication, brief framing, and execution task coordination for major accounts including Decathlon, Ooredoo, and Orange.
- Built customer segmentation models, including RFM and RFI, to refine campaign targeting and marketing precision.
- Designed and deployed daily data ingestion pipelines alongside automated KPI computation systems.
- Developed churn, upsell, and cross-sell scoring models that were successfully deployed into production.
Developed a SaaS HR analytics solution using machine learning, focusing on organizational KPIs and behavioral data to address workforce retention.
- Built predictive models identifying attrition risk based on organizational KPIs and behavioral data.
- Identified key drivers of employee churn using machine learning explainability techniques.
- Delivered actionable insights through interactive dashboards with per-employee recommendations.
Projects
LangChain + RAG, multi-channel: WhatsApp & CRM
Retail - RFM/RFI production models, grand accounts
Telco - churn, upsell & cross-sell scoring
Multi-platform: YouTube, Quora, X, Reddit
ML prioritization + sales agent ranking at DocShipper
SaaS platform - ML explainability + interactive BI
Education
Languages
English · Fluent
French · Fluent