Hi, I'm Yassin 👋

Project Manager | Product & Data Enablement (PSM I, PSPO I)

📍 Paris | Turning complex projects into measurable outcomes through agile delivery, automation & analytics

📝 Publications

• How I Used Machine Learning to Predict 41% of Project Delays Before They Happened
  Published on Towards Data Science
• The Product Health Score: How I Reduced Critical Incidents by 35% with Unified Monitoring and n8n Automation
  Published on Towards Data Science

Featured Projects :

📊 Automated Product Health Monitoring

• Anomaly Detection → AI Root Cause → Daily Reports
• Daily monitoring of revenue & usage metrics
• Detect anomalies using statistical baselines (not fixed thresholds)
• Log incidents with severity and full context
• Send alerts only when action is required (Slack & Email)
• Generate AI-based root cause analysis & recommendations
• Produce a daily Product Health Report for leadership
• Optional Notion documentation for incidents & history

🧠 Multi-Channel Feedback → Product Backlog

Telegram + Forms + Email → AI → Jira → Notion

• Collect user feedback from:
• Telegram bot
• Google Forms / Sheets
• Gmail
• Normalize all inputs into a unified structure
• AI-powered analysis:
• Category (bug, feature, question…)
• Sentiment & pain level
• Business impact & effort
• Summary & acceptance criteria
• Compute a RICE-style priority score with tier weighting
• Automatically:
• Create a Jira issue
• Generate a Notion documentation page
• Log analytics to Google Sheets
• Produce a monthly Product Intelligence Report with insights & trends

🧪 Data Quality Monitoring

• Notion Rules → SQL Checks → AI Diagnostics → Alerts
• Centralize data quality rules in Notion (table, field, condition, severity)
• Automatically convert rules into live SQL checks
• Detect anomalies across your data warehouse
• Aggregate results into a global data health score
• Generate AI-powered root cause analysis & fix recommendations

Create:

• Notion run records
• Optional Jira incidents
• Slack / Email alerts
• Silent execution when data is healthy (zero noise)

🔁 B2B SaaS Renewal Risk Management

• CRM + Usage + Support → Churn Scoring → Playbooks
• Daily detection of subscriptions expiring in J–30
• Enrich accounts with:
• CRM data (HubSpot / Salesforce / Pipedrive)
• Product usage analytics
• Support tickets (Zendesk)
• Compute an internal churn risk score
• Route each account to an automated playbook: 🔴 High risk → Jira + Trello + Slack + Email escalation 🟠 Medium risk → Proactive CSM follow-up 🟢 Low risk → Light renewal reminder
• Log all decisions into a database for dashboards & analysis
• Send a daily renewal risk summary email

🚨 Urgent Task Escalation (Google Sheets → Gmail → Telegram → Jira)

• Detect Urgent tasks automatically from Google Sheets
• Send an immediate personalized email alert
• Mark the task as Notified to prevent duplicate alerts
• Wait and re-check the task status after a delay
• If still unresolved → send a Telegram escalation
• Automatically create a High Priority Jira ticket and send a Telegram message with the ticket details

📬 Send One-Time Email Alerts from Google Sheets (Anti-Spam)

• Trigger an email when a task’s Priority = Urgent in Google Sheets
• Prevent duplicates by writing “Notified” back to the sheet
• Personalize the alert with Task, Owner, Deadline, Status, Next Step
• Plug-and-play with Google Sheets + Gmail credentials

📊 Automated Sprint Reports from Jira to Gmail

• Generate sprint reports automatically from Jira
• Calculate KPIs (tickets, story points, blockers, completion rate)
• Build HTML report with summary & detailed table
• Send directly to stakeholders via Gmail on schedule

⚡ Create Jira Tickets from Google Forms (via n8n)

• Capture responses directly from Google Forms and route them into Jira
• Transform and map form fields into Jira issue schema automatically
• Instantly return Jira issue key & URL for tracking

🚀 Create Jira Tickets from Streamlit Forms

• Create Jira issues instantly from a Streamlit app
• Validate & transform form data into Jira API schema
• Prevent duplicate submissions with built-in safeguards
• Return instant JSON responses with Jira issue key & URL

⚙️ Automate Jira Ticket Creation from a Streamlit App (via n8n)

• Create Jira issues from a Streamlit form via an n8n webhook
• Validate and map fields (Project Key, Issue Type, Priority, Labels, Assignee, Epic Link)
• Return the created issue key and URL for instant follow-up
• Include a compact dashboard to review recently created issues
• Offer optional AI-style summaries generated locally (no external AI required)

📋 Automated Meeting Minutes Distribution

• Streamlined workflow for sharing meeting notes via Gmail:
• Automatically sends meeting minutes from Google Sheets to stakeholders
• Supports structured note-taking with predefined columns (Topic, Status, Owner, Next Step)
• Eliminates manual distribution of meeting summaries

📧 Instant Google Form to Gmail Notifications

• Real-time notification system for Google Form submissions:
• Sends immediate email alerts for new form submissions
• Delivers notifications within ~1 minute of submission
• Perfect for time-sensitive workflows and urgent requests

📧 Daily Google Form Submissions to Gmail Recap

• Automated workflow consolidating daily form submissions into organized email summaries:
• Aggregates all daily Google Form submissions into single digest
• Delivers structured recap at scheduled time (default 5 PM)
• Integrates Google Sheets → Gmail via n8n automation

🤖 Telegram Daily Calendar Assistant

Automated workflow delivering daily agenda summaries via Telegram:

• Automates calendar monitoring using n8n workflows
• Delivers personalized morning briefings at 7 AM
• Integrates Google Calendar → Telegram via API magic

🎮 Video Game Market Analysis (1980-2016). Leveraged SQL and Power BI to uncover key industry trends

• Analyzed 16,598 game titles using SQL and Power BI to uncover:
• Regional market trends (NA vs EU vs JP vs Other markets)
• Platform dominance patterns

📊 TikTok Engagement Analysis. What drives engagement on TikTok? A data dive into 19K videos

• Processed 19K videos to determine engagement drivers
• Discovered likes account for 82% of total engagement
• Developed correlation models between views, shares, and comments

📊 Retail Analytics Dashboard - Case Study : SaaS solution replacing complex Power BI for omnichannel retailers

• 62% faster decisions with AI alerts
• 100% adoption by non-technical teams
• 22% reduction in out-of-stock situations

⚽️ MPG Player Recommender – Fantasy football picks optimizer
Built with Python and Power BI to surface undervalued players on Mon Petit Gazon (Premier League):

• Fetched and cleaned 531 player records via MPG
• Engineered features: recent form (last 5 matches), cost-value ratio, position scarcity
• Deployed interactive dashboards: Power BI template