Hi ✌️

I graduated with an MSc in Data Science, Statistics and Econometrics from the 🏫 University of Rennes, France. I’m passionate about exploring data, building predictive models, drawing statistical insights, developing data visualization tools, and designing machine learning and deep learning algorithms.

My experience spans satellite imagery, public-sector analytics, loyalty programs, real estate, and market intelligence.

🛰️ Data Scientist Intern — WeLoveDataScience

May 2022 – August 2022 | WeLoveDataScience

I worked on extracting meaningful insights from satellite imagery:

  • Implemented routines to download satellite tiles covering NIS9 geographic areas.
  • Researched image segmentation techniques to identify land cover types, including 🌊 water and 🌿 vegetation, and estimate their surface coverage.

🏛️ Data Scientist Apprentice — Departmental Council of Mayenne

September 2022 – August 2023 | Departmental Council of Mayenne

As part of a work-study program, I contributed to open data and territorial analytics projects:

  • Collected and processed data from INSEE and URSSAF.
  • Published cleaned datasets with supporting metadata on the Mayenne Open Data platform.
  • Developed a proof-of-concept internal data pipeline to collect data in batches from multiple Pôle emploi APIs.
  • Built a predictive model to forecast 📈 unemployment rate trends.
  • Developed an interactive 📊 dashboard to monitor territorial observatory indicators.

💼 Data Analyst — One Mount

July 2024 – July 2026 | One Mount | Hanoi, Vietnam

I contributed to analytics and reporting projects across loyalty, real estate, and market intelligence:

  • 🏦 Techcombank Rewards: Designed and developed a loyalty datamart on Databricks using the medallion architecture to support marketing analytics and customer segmentation.
  • 📊 OneView: Developed a reporting platform using SSAS, dbt, Dremio, and a star schema to analyze customer behavior, monitor monthly transacting users (MTU) and monthly active users (MAU), and track customer events.
  • 🏠 OneHousing: Built automated inventory and sales reporting solutions using dbt, Dremio, and Power BI, delivering business KPIs across the primary, secondary, and landed property markets.
  • 🔎 Market Intelligence: Built an automated system that monitored 200+ keywords using Google Alerts, Python, Airflow, n8n, and Google Cloud Storage (GCS), reducing manual market research effort by 80%.

🤝 Let’s Connect

I am actively seeking a position as a Data Scientist or Data Analyst, where I can apply my experience in data pipelines, predictive modeling, and visualization to solve business problems. I’m eager to continue learning, contribute to a team, and explore opportunities across different industries.

📩 If you have an opportunity available, please feel free to reach out at nguyenmanhhung04051998@gmail.com.