About
My name is Djeinaba, a seasoned Data Engineer specialized in Geo-data management for the energy industry. I like to call myself a "data chameleon" due to my versatile skills in multiple facets of data domains. This ranges from data engineering, data science applications, MLOPS engineering, data analysis, data management to GIS data engineering.
A Mix of Software engineering, Data engineering and Geo-Data Management
My academic foundation in software and data engineering was laid at the Polytechnic of Mauritania and INSA Euro Mediterranean of Fes, Morocco. Besides data, I've also dabbled in the development of mobile and web applications. It's the synergy of these disciplines that has truly molded my professional journey.
- Linkedin: Djeinaba Ba
- City: Paris, France
- github: Djeinaba.github.io
- Availability: January 2024
Also driven to be part of the next generation of energy contributors and leaders, I undertook a transformative step in 2022. I aimed to enhance my data Knowledge while simultaneously immersing myself deeper into the energy industry. This pursuit led me to IFP-SCHOOL of Paris, where I enrolled in the specialized Master's program, "Geo-Data Management for Energy-Mix". This experience was invaluable. Not only was I mentored by industry leaders, but I also garnered insights into Exploration & Production data management for the energy industry.
Skills
Resume
Over the course of my 7 years of education, I have accumulated 2 years of internship experience in the field of Data and IT.
Education
Specialized Master's degree in Geo-Data Management for energy-Mix
09/2022 - 08/2023
IFP-SCHOOL, Paris, France
Techniques for processing exploration and production data in oil & gas industry, Petrel Data management, Methods for processing georeferenced data and geomatics, Data management, Information Technology and Services, Project management, ArcGIS, Machine learning applied in the energy field.
Data Engineering (double degree engineering program)
09/2020 - 08/2022
INSA EUROMED OF FES, Fes, Morocco
Machine Learning, Deep Learning, Implementation of data architectures, Big Data technologies, Project management, Data science and optimization, GIS (Geographic Information System), Image processing, Big Data analytics, cloud computing, advanced statistics.
Engineering degree in Computer Science, Networks, and Telecommunications
08/2018 - 08/2022
POLYTECHNIC SCHOOL OF MAURITANIA (ESP), Nouakchott, MR
Programmation, Information System Design Methods, web and mobile development, data analysis, Operations Research and optimization, project management, modeling and database implementation, business intelligence, AI (Artificial Intelligence), Advanced Networks.
Mathematics, Physics, and Engineering Sciences
08/2016 - 07/2018
Preparatory Institute for Major Engineering Schools (IPGEI), Nouakchott, MR
Mathematics, physics, algebra, algorithmics, engineering science, Python.
Professional Experience
Data management and Statistical analysis (Internship)
03/2023 - 07/2023
Development of a data management and analysis system for data generated from flexible composite tubes manufacturing process
TechnipFMC Subsea France, Paris, Fr
- responsible for the implementation of a data management system for large volumes of data generated by sensors during pipe manufacturing process.
- Ensuring the stability and repeatability of the manufacturing process through continuous post-production data analysis tasks.
- Implementation of an automatic data analysis system for the data generated at the end of the manufacturing process.
- Testing the data analysis system on past manufacturing data and Deployment into production
#data management, #data analysis, #data visualization, #agile methodology, #project management
Geo-Data Scientist
02/2023 - 03/2023
Correlogram qualification in passive seismic interferometry using Machine Learning algorithms
GeoLinks, Paris, France
- Oversee technical choices and ensure overall client satisfaction about solutions
- Identify the proper data quality dimensions and their definitions and technical relevance
- Automate the cross-correlation quality check process according to Completeness, Validity, and Consistency criteria of the signals.
- Clustering of cross-corelation data that meet the defined criteria using Unsupervised Machine Learning algorithms.
Python, jupyter, Scikit-Learn, QGIS, statistics, data visualization
Big Data and MLOPS Internship
04/2022 - 09/2022
Continuous improvement of Machine Learning operations and implementation of MLOPS-oriented services
SITA for Aircraft, Paris, France
- Conducted a thorough study of the internal data architecture, identified areas of improvement, and proposed a new data architecture that prioritized scalability, resilience, and reproductive capabilities.
- Responsible for the configuration and management of Hadoop clusters in a docker environment
- Built event-driven micro-services using Kafka and integrated Hadoop with Spark to enable advanced data processing
- Apply MLOPS techniques and approches to streamline the development and deployment of ML models.
- responsible of the unit and integration tests using pytest.
Technical Stack: Hadoop, S3, Pyspark, Kafka, Minio, ELK Stack, MetricBeat, MLFlow, ETL process, Docker, pyenv, pytest, Linux, git
IT and Data engineer (Internship)
05/2021 - 09/2021
Development of a web application for customer's Network traffic Monitoring
Binor & Associés, Nouakchott, Mauritania
- Conducted network logs analysis and built data pipelines using Elasticsearch, logstash, and Filebeat to collect and process large volumes of data.
- Leveraged logstash for data processing, and utilized Advanced QueryDSL with Elasticsearch for data enrichment, data extraction, and other advanced queries.
- Implemented a web application for customer's traffic monitoring using Django, Flask, SqlAlchemy, and React-js to provide an intuitive and user-friendly interface for data analysis and visualization.
Technical Stack: Python,Elasticsearch,logstash, Filebeat, kibana, Django, Flask, ansible, mysql,React-js,javascript,zeek
Certifications
Certified Associate in Project Management (CAPM)
Agile Principles, Business Analysis Framework, Communications Management, Cost Management, Integration Management, Predictive Methodologies, Project Management, etc...show credential
DAMA CDMP Certification - Practitioner Level
Data Management process, data quality, data gouvernance, Master and Reference data, data integration and Interoperability, data warehousing etc...show credential
DAMA CDMP Certification - Associate
Data Management process, data quality, data gouvernance, Master and Reference data, data integration and Interoperability, data warehousing etc...show credential
Big Data analytics with hadoop and Apache Spark
Building Analytics application with Hadoop and Spark,best praticises for data storage, data ingestion and extraction with spark,optimizing data processing in Spark.show credential
Interpersonal Communication
Master your interpersonal communication skills,how to handle interruptions, respond to critical feedback, and communicate across cultures.show credential
Apache Spark 3 for Data engineering and analytics with python
Spark architecture, RDD Crash Course, Structured API Spark Dataframe, spark streaming for analytics, Spark SQL and Databricks.show credential
Organizations
I firmly believe that contributing to the development of our country's local knowledge base and fostering knowledge sharing is a fundamental responsibility for every engineer. This conviction has driven me to become an active member of two engineering associations in Mauritania, where I actively engage in workshops and forums aimed at enhancing the engineering landscape in the country.
MAPE is an association that aims to connect engineers with companies, creating job opportunities, providing training and development, and promoting scientific research in Mauritania.
Mauritanian Associations of Petroleum Engineers
Member of the executive board
SPE has for objective to connect a global community of engineers, scientists, and related energy professionals to exchange knowledge, innovate, and advance their technical and professional competence regarding the oil and gas industry and related energy resources to achieve a safe, secure, and sustainable energy future.
Society of Petrolem Engineers
IFP-School SPE Student chapter
MEC focuses on professional development and networking opportunities for Mauritanian Engineers, fostering knowledge sharing and advocacy for the engineering profession in Mauritania.
