[2016 – 2021] Machine & Deep Learning Scientist-Engineer

Unlike the first period, the second one of my career was not easy to come. That was not what I’d like to study at first, but I realized later my love for data analysis. The good basis in physics, mathematics, statistics and some experience in R and Python programming during my Ph.D. helped me a lot for the professional retraining to pass through the other side of the door, to move into the Data Science world.

2016 – 2017

Business Data Analyst @ VietNamTour

This was a contracted mission to collect the client feedback for statistical analysis and pricing study. Handwritten messages from the costumers are recognized by the Python’s Natural Language Tool Kit (“nltk” package), then translated from Vietnamese to English language.

All translated messages were tokenized in the next step, filtered out of stop-words, to finally search for positive, negative or neutral opinions and sentiment from the customers.

The pricing optimization was also studied to update the newest competitive prices, using the Gurobi software.

Competence developed over my third professional experience:

Technology competence:

  • Python
  • Natural Language Processing
  • R/Shiny
  • HTML5, CSS3
  • JavaScript
  • WAMP (Windows, Apache, MySQL and PHP)
  • Gurobi

Soft skills:

  • Client communication
  • Problem solving

2017 – 2021

Sr. Data Scientist-Engineer @ Energisme

Industrial projects: Energy Efficiency and Management​

  • Developing industrial Business Algorithms for different customer with multiple business rules
  • Defining Predictive Maintenance and Anomaly Detection models of Energy consumption
  • Data Mining of Meter/Sensor Enedis source

Operations research projects: Smart Grid and CO2 Fingerprint

  • Energy modeling of smart city (Smart Grid) using both Machine Learning vs. Deep Learning approaches
  • Studying customer need and CO2 quota exchange in the Carbon Fingerprint market

Competence developed over my 4th professional experience:

Technology competence:

  • R/Shiny
  • Python
  • PowerBI
  • Microsoft Azure clouding
    (Data Lake Store, HDInsight)
  • Hadoop
  • Spark
  • Docker
  • API REST
  • GitLab CI/CD
  • Bash
  • Database (Hbase/Phoenix, Cassandra, ElasticSearch)

Soft skills:

  • Problem solving
  • Self-directed learning
  • Team support & Team Lead