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Data-Science-Courses

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Roadmap and Materials for learning practical Data Science

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# Data Science & AI Course Materials

This repository contains roadmaps, teaching materials, and learning resources from the Data Science and AI courses I have taught and shared, including structured curricula and slides.

The goal of this repository is to provide:

- A clear learning roadmap for each topic
- Practical and industry-oriented content
- Reusable materials for self-study

![status](https://img.shields.io/badge/status-updating-blue)

> 🚀 **More slides, examples, and projects will be added in future updates. Stay tuned!**

## Table of Contents

- [Full Data Science Course (62 sessions)](#full-data-science-course-62-sessions)
- [AI Models for Customer Growth & Retention Bootcamp (6 sessions)](#ai-models-for-customer-growth--retention-bootcamp-6-sessions)
  - [Project Customer Growth](#project-customer-growth)
    - [Top 5 Student Projects Customer Growth](#top-5-student-projects-customer-growth)
  - [Project Churn Prevention System](#project-churn-prevention-system)
    - [Top 2 Student Projects Churn Prevention](#top-2-student-projects-churn-prevention)
- [Recommendation Systems Bootcamp (8 sessions)](#recommendation-systems-bootcamp-8-sessions)
  - [Project RecSys](#project-recsys)
    - [Top 3 Student Projects RecSys](#top-3-student-projects-recsys)
- [Causal Inference and Uplift Modeling Bootcamp (8 sessions)](#causal-inference-and-uplift-modeling-bootcamp-8-sessions)
- [Webinars & Public Talks](#webinars--public-talks)

## Full Data Science Course (62 sessions)

This section contains the roadmap and materials for the **Data Science course**, designed to guide learners from fundamentals to applied machine learning. The motivation behind this course is to:

- Bridge the gap between academic theory and real-world practice
- Provide a structured learning path for beginners and early-career practitioners
- Emphasize hands-on modeling, deployment, engineering and business-driven problem solving

Below is the roadmap I designed for this course:

<table style="width:100%; border-collapse: collapse;">
  <thead>
    <tr>
      <th style="border:1px solid #ccc; padding:8px;">Block</th>
      <th style="border:1px solid #ccc; padding:8px;">Topic</th>
      <th style="border:1px solid #ccc; padding:8px;">Content</th>
      <th style="border:1px solid #ccc; padding:8px;">Link</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td style="border:1px solid #ccc; padding:8px;">1</td>
      <td style="border:1px solid #ccc; padding:8px;">Python for Data Scientist</td>
      <td style="border:1px solid #ccc; padding:8px;">
        - Pip vs. Conda vs. Uv<br>
        - Python List / NumPy / Pandas / Polars / PySpark<br>
        - Common pitfalls in data structures, vectorization & memory optimization<br>
        - Python vs. Cython vs. Rust<br>
        - Thread vs. process, concurrency vs. parallelism<br>
        - Reference counting, race condition, GIL & multithreading<br>
        - Multiprocessing, AsyncIO
      </td>
      <td style="border:1px solid #ccc; padding:8px;">
        <a href="https://docs.google.com/presentation/d/1ZE4uo6iQAWa8P7ENdv4kjfBQn-rJ2I_7/edit?usp=sharing&ouid=108196031463416657339&rtpof=true&sd=true" target="_blank">Slides</a>
      </td>
    </tr>
    <tr>
      <td style="border:1px solid #ccc; padding:8px;">2</td>
      <td style="border:1px solid #ccc; padding:8px;">Fundamentals of Database Systems</td>
      <td style="border:1px solid #ccc; padding:8px;">
        - SQL vs. NoSQL, Row-wise & Column-wise DB<br>
        - OLTP vs. OLAP<br>
        - ACID & BASE principles<br>
        - Data Warehouse, Data Mart<br>
        - Dimensional Modeling, Facts, Dimensions, Slowly Changing Dimensions (SCD)<br>
        - Normalization vs. Denormalization, Star Schema, Snowflake Schema<br>
        - Extract – Transform – Load (ETL), ELT<br>
        - Data Lake, Lakehouse<br>
        - Distributed Databases (HBase, Cassandra), CAP theorem
      </td>
      <td style="border:1px solid #ccc; padding:8px;">
        <a href="https://docs.google.com/presentation/d/12okO9_qU5THhITXxZHccKpwi512tOQ_8/edit?usp=sharing&ouid=108196031463416657339&rtpof=true&sd=true" target="_blank">Slides</a>
      </td>
    </tr>
    <tr>
      <td style="border:1px solid #ccc; padding:8px;">3</td>
      <td style="border:1px solid #ccc; padding:8px;">Fundamentals of Backend Engineering</td>
      <td style="border:1px solid #ccc; padding:8px;">
        - Web API fundamentals, URL with path & query parameters<br>
        - OSI model (7 layers), TCP & UDP, how HTTP & HTTPS work<br>
        - RESTful API, building APIs with Flask & FastAPI<br>
        - WSGI & ASGI (async/await), Werkzeug, Gunicorn, Uvicorn<br>
        - Encoding (Base64), Encryption (AES, RSA), Hashing (SHA256, bcrypt)<br>
        - API security: Authentication & Authorization (API Key, Basic Auth, JWT, OAuth2)<br>
        - RPC (Thrift, gRPC): connection pooling, multiplexing, streaming<br>
        - WebSocket, Webhook, Celery task
      </td>
      <td style="border:1px solid #ccc; padding:8px;">
        <a href="https://docs.google.com/presentation/d/1x_EN56luuGhzvC2ssP_94Qn0JFimMmZe/edit?usp=sharing&ouid=108196031463416657339&rtpof=true&sd=true" target="_blank">Slides</a>
      </td>
    </tr>
    <tr>
      <td style="border:1px solid #ccc; padding:8px;">4</td>
      <td style="border:1px solid #ccc; padding:8px;">Fundamentals of DevOps</td>
      <td style="border:1px solid #ccc; padding:8px;">
        - DevOps, software design<br>
        - Linux, Bash scripting<br>
        - Networking fundamentals<br>
        - Source control: Git, GitLab<br>
        - Containers, Docker<br>
        - Container orchestration: Kubernetes (K8s), Rancher<br>
        - CI/CD: GitLab CI, Jenkins<br>
        - Observability & monitoring: ELK, Prometheus, Grafana
      </td>
      <td style="border:1px solid #ccc; padding:8px;">
        <a href="https://docs.google.com/presentation/d/1HtM5VShwdKbRr9aQdV3depJrDqeuiiNLesZFlV3UvUw/edit?usp=sharing" target="_blank">Slides</a>
      </td>
    </tr>

</tbody>  
</table>

## AI Models for Customer Growth & Retention Bootcamp (6 sessions)

<table style="width:100%; border-collapse: collapse;">
  <tr>
    <th style="border:1px solid #ccc; padding:8px;">Session</th>
    <th style="border:1px solid #ccc; padding:8px;">Content</th>
    <th style="border:1px solid #ccc; padding:8px;">Link</th>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">1</td>
    <td style="border:1px solid #ccc; padding:8px;">Customer Value Foundations: RFM & Customer Segmentation</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://docs.google.com/presentation/d/1TlIfvMGQgreFK8IPmt0DpYgmg9h_lWGv_UB8SFxe604/edit?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">2</td>
    <td style="border:1px solid #ccc; padding:8px;">BG-NBD & Gamma–Gamma → Predictive CLV</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://docs.google.com/presentation/d/1H9cW1GqLP6JwUqKgQGTHaMvz4Mh-5MoAt1SxXlhzBTg/edit?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">3</td>
    <td style="border:1px solid #ccc; padding:8px;">Churn Prediction as Classification Task</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://docs.google.com/presentation/d/1XijHtBVQDmjTnFZtYVQoMtgvDDpp8dlRoMjy4n7VB2k/edit?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">4</td>
    <td style="border:1px solid #ccc; padding:8px;">Churn Prediction with Survival Analysis</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://docs.google.com/presentation/d/1fgRssSNyEKedpUGcHb6wgygor19Gx1Mi/edit?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">5</td>
    <td style="border:1px solid #ccc; padding:8px;">Foundation of Causal Inference</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://docs.google.com/presentation/d/1SFGemM1IaoCAjY2glAVxn2DeNzsunDzNj3gkVl2jz1I/edit?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">6</td>
    <td style="border:1px solid #ccc; padding:8px;">Causal Impact Estimation without Randomized Experiments</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://docs.google.com/presentation/d/1SFGemM1IaoCAjY2glAVxn2DeNzsunDzNj3gkVl2jz1I/edit?usp=sharing">Slides</a></td>
  </tr>
</table>

## Project Customer Growth

Description: _[Link](https://docs.google.com/document/d/1RoIq-vyM2Vo9jNc38i9W0mQyrPrlPLsYonQQbYnEZjU/edit?usp=sharing)_

## Top 5 Student Projects Customer Growth

<table style="width:100%; border-collapse: collapse;">
  <tr>
    <th style="border:1px solid #ccc; padding:8px;">Num</th>
    <th style="border:1px solid #ccc; padding:8px;">GitHub Student</th>
    <th style="border:1px solid #ccc; padding:8px;">GitHub Repository</th>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">1</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/DucDTran">DucDTran</a></td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/DucDTran/customer-growth-retention?authuser=0">Repo</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">2</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/maithtruong">maithtruong</a></td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/maithtruong/ai-customer-growth-retention/tree/exp?authuser=0">Repo</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">3</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/sonnguyen129">sonnguyen129</a></td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/sonnguyen129/Final-Project-Bootcamp-AI4Customer-Growth?authuser=0">Repo</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">4</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/Solyda">Solyda</a></td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/Solyda/customer-growth?authuser=0">Repo</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">5</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/trangq">trangq</a></td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://github.com/trangq/ai_for_customergrowth?authuser=0">Repo</a></td>
  </tr>
</table>

## Project Churn Prevention System

Description: _[Link](https://docs.google.com/document/d/1vePvVWq4RfdEvPTMO2HM1utFFtJUzUIxDALlCW3BNk0/edit?usp=sharing)_

## Top 2 Student Projects Churn Prevention

## Recommendation Systems Bootcamp (8 sessions)

<table style="width:100%; border-collapse: collapse;">
  <tr>
    <th style="border:1px solid #ccc; padding:8px;">Session</th>
    <th style="border:1px solid #ccc; padding:8px;">Content</th>
    <th style="border:1px solid #ccc; padding:8px;">Link</th>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">1</td>
    <td style="border:1px solid #ccc; padding:8px;">Implicit Feedback, Data Sparsity & Evaluation</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1S0lW5cjbcnhGiPXTTw2LOSC0GEAcsbfxe0eCwkGdD6c/edit?usp=sharing">Slides</a>
    </td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">2</td>
    <td style="border:1px solid #ccc; padding:8px;">ALS + BPR</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1_tBB1UuAeHDMBlBLud_-OQsYEeO9opMRtPXEEIbGbDE/edit?usp=sharing">Slides</a>
    </td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">3</td>
    <td style="border:1px solid #ccc; padding:8px;">Word2vec / Item2vec + NeuMF</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1WX69jkE58m9o3m0Z_28g3mGNJQWiDsuevChxQYsHzjE/edit?usp=sharing">Slides</a>
    </td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">4</td>
    <td style="border:1px solid #ccc; padding:8px;">Two-Tower + Deep FM Family</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1ANmGWyAErvLV-urstOTMzOUH3OVK2TFAZKKFO_L1MXs/edit?usp=sharing">Slides</a>
    </td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">5</td>
    <td style="border:1px solid #ccc; padding:8px;">Graph-based RecSys: metapath2vec + GraphSAGE</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1NNqyytcciAJyrnY9Lq5nWQCuoSMxKrML4MkIQNhOjT8/edit?usp=sharing">Slides</a>
    </td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">6</td>
    <td style="border:1px solid #ccc; padding:8px;">Sequential Models with BERT4Rec</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/18mALojnJDij8ivYLskFlIrvdJ8XlefeAuHrygFeObkw/edit?usp=sharing">Slides</a>
    </td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">7</td>
    <td style="border:1px solid #ccc; padding:8px;">Multi-Armed Bandit / Contextual Bandit / Clustered Bandit</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1ROd0tmve4Q3R2EHwJMxfXm88MHjLY3FpPKxBZa355a8/edit?usp=sharing">Slides</a>
    </td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">8</td>
    <td style="border:1px solid #ccc; padding:8px;">LLM for RecSys</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/14f0zwKZFOFNkWAWxReGDuzYDaP68G9ESsl2__JY79xc/edit?usp=sharing">Slides</a>
    </td>
  </tr>
</table>

## Project RecSys

Requirement: _[Link](https://docs.google.com/document/d/1i36AF3xh5ZTinqJhtfbWUBeCoUAlNX5rhQaLua0VkfY/edit?usp=sharing)_

Projects: _[Link](https://docs.google.com/document/d/1lIGbh8bfDMVwXWqbqL3abmT1ZdCG1bJmKc4MLDO70tY/edit?usp=sharing)_

## Top 3 Student Projects RecSys

## Causal Inference and Uplift Modeling Bootcamp (8 sessions)

<table style="width:100%; border-collapse: collapse;">
  <tr>
    <th style="border:1px solid #ccc; padding:8px;">Session</th>
    <th style="border:1px solid #ccc; padding:8px;">Content</th>
    <th style="border:1px solid #ccc; padding:8px;">Link</th>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">1</td>
    <td style="border:1px solid #ccc; padding:8px;">Foundations: Potential Outcomes & Causal Graphs</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://drive.google.com/file/d/1l-DFDiF8I3oZ7R1Dsq6d3nPY7Be89cZR/view?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">2</td>
    <td style="border:1px solid #ccc; padding:8px;">Identification: From DAGs to Estimands</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://drive.google.com/file/d/12vpLrCeRFe6G8ueEpp8xvjvtNhilxe4V/view?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">3</td>
    <td style="border:1px solid #ccc; padding:8px;">Estimation: Modern Causal Estimators</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://drive.google.com/file/d/1rPl-XqExDImvBduMILSIXLAKsz5bFbGI/view?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">4</td>
    <td style="border:1px solid #ccc; padding:8px;">Heterogeneous Treatment Effects CATE and Uplift Modeling</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://drive.google.com/file/d/1RX4L9HSJpogKp6xDhknmsoAoSbdEbz-8/view?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">5</td>
    <td style="border:1px solid #ccc; padding:8px;">Class Transformation and Meta Learners for Uplift Modeling</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://drive.google.com/file/d/1djO742jYuzCX15jwXuS1qABT-8bNh1Rs/view?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">6</td>
    <td style="border:1px solid #ccc; padding:8px;">Tree-based & Representation-based Uplift Models</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://drive.google.com/file/d/1kyx5_ES3hLpU3US1XGm5pgKTuJiZeTIl/view?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">7</td>
    <td style="border:1px solid #ccc; padding:8px;">Evaluation of Uplift Models</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://drive.google.com/file/d/1QYw2dZH0whi6J-GG4phXbARpgXJE-7TG/view?usp=sharing">Slides</a></td>
  </tr>
  <tr>
    <td style="border:1px solid #ccc; padding:8px;">8</td>
    <td style="border:1px solid #ccc; padding:8px;">Extra Topics</td>
    <td style="border:1px solid #ccc; padding:8px;"><a href="https://drive.google.com/file/d/1nRzyMVTv2AZLup0m6ni3qreLKISCONlW/view?usp=sharing">Slides</a></td>
  </tr>  
</table>

## Webinars & Data Competitions & Public Talks

<table style="width:100%; border-collapse: collapse;">
  <tr>
    <th style="border:1px solid #ccc; padding:8px;">Date</th>
    <th style="border:1px solid #ccc; padding:8px;">Topic</th>
    <th style="border:1px solid #ccc; padding:8px;">Preview</th>
    <th style="border:1px solid #ccc; padding:8px;">Link</th>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">11/08/2025</td>
    <td style="border:1px solid #ccc; padding:8px;">Data Science & AI Trend</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <img src="images/webinar-data-and-ai-2025.png" alt="Slide Preview" width="220">
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1lhYmVG47Bnc0716Kq8_GJ7MjEjcgFaFRdPSnp0aAu1E/edit?usp=sharing">
        Webinar at Cole.vn
      </a>
    </td>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">10/11/2025</td>
    <td style="border:1px solid #ccc; padding:8px;">Digital Transformation Festival - Pharus 2025</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <img src="images/pharus-2025.jpg" alt="Slide Preview" width="220">
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://www.facebook.com/share/p/1YCayj1ywb/">
        Judge for Data Competition at Finance Academy
      </a>
    </td>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">01/12/2025</td>
    <td style="border:1px solid #ccc; padding:8px;">
      Rethinking Personalization in Fintech/Banking with AI Agents
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <img src="images/webinar-rethinking-personalization.png" alt="Slide Preview" width="220">
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1zSEzNx1m6q3O3283cbTyCWIPGZF7376KuM029gCnXsM/edit?usp=sharing">
        Webinar at Cole.vn
      </a>
    </td>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">12/12/2025</td>
    <td style="border:1px solid #ccc; padding:8px;">
      Recommendation Systems, From Foundation to Frontiers
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <img src="images/webinar-recsys.png" alt="Slide Preview" width="220">
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1BTLrQEBzN7oRa8AKEatL3h-H8hQdILxitC5D1jhLuUk/edit?usp=sharing">
        Webinar at Cole.vn
      </a>
    </td>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">25/12/2025</td>
    <td style="border:1px solid #ccc; padding:8px;">
      From Tools to Agents: The Business Explosion of the AI Economy
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <img src="images/seminar-VinUni.jpg" alt="Slide Preview" width="220">
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://www.linkedin.com/posts/h%C3%B2a-l%C3%AA-9a2795167_honored-to-be-invited-to-this-offline-seminar-activity-7408092101797847041-E6Gn">
        Seminar at Vin University
      </a>
    </td>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">22/03/2026</td>
    <td style="border:1px solid #ccc; padding:8px;">Customer Journey Modeling</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <img src="images/webinar-customer-journey-modeling.png" alt="Slide Preview" width="220">
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1Wg1RujQXS_AM1yAR5X4FFugYFb5HF8ke/edit?usp=sharing">
        Webinar at JourneyX Data
      </a>
    </td>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">15/05/2026</td>
    <td style="border:1px solid #ccc; padding:8px;">How AI is Reshaping the Future of Banking</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <img src="images/ftu2026.jpg" alt="Slide Preview" width="220">
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://docs.google.com/presentation/d/1OhGahHdXI4T5oc4Ku3WILleWgYtlXOcobjSIZbj0RUs/edit?usp=sharing">
        Seminar at FTU
      </a>
    </td>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">23/05/2026</td>
    <td style="border:1px solid #ccc; padding:8px;">Datathon 2026</td>
    <td style="border:1px solid #ccc; padding:8px;">
      <img src="images/datathon2026.jpg" alt="Slide Preview" width="220">
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="https://www.facebook.com/share/p/1EUvasLyWQ/">
        Judge for Datathon at VinUni
      </a>
    </td>
  </tr>

<tr>
    <td style="border:1px solid #ccc; padding:8px;">17/07/2026</td>
    <td style="border:1px solid #ccc; padding:8px;">A Customer Journey Proposal for Food & Beverage Corps</td>
    <td style="border:1px solid #ccc; padding:8px;">   
    </td>
    <td style="border:1px solid #ccc; padding:8px;">
      <a href="#">
        Seminar at Pizza 4P's
      </a>
    </td>
  </tr>    
  
</table>

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