Profil professionnel
Vue d'ensemble
Expérience
Formation
Compétences
Langues
Chronologie
Generic

ABDOULAYE MARANGA

SENIOR DATA SPECIALIST
Longueuil

Profil professionnel

Data Scientist & Applied AI Specialist, focused on delivering intelligent, end-to-end data products. Skilled in building ML-based decision support tools using unsupervised learning, clustering, and GenAI integrations. Strong track record designing fast, interpretable solutions in industrial and operational settings.

Known for turning raw data into actionable insights, empowering users through self-service tools and explainable models.

Vue d'ensemble

8
8
years of professional experience

Expérience

Data Scientist

HalfSerious
Montreal, Canada
03.2023 - Actuel
  • Led the development of data-driven tools from exploration to deployment, combining ML, operational data, and user-centric design
  • Developed a machine learning model to replicate expert operator decisions based on fines ratio, moisture, throughput, and chemical inputs
  • Implemented and managed an end-to-end data pipeline, improving data ingestion, transformation, and reporting on mining trucks
  • Applied unsupervised machine learning techniques to detect anomalies and understand alarm behavior using truck telemetry data
  • Built a GenAI chatbot (OpenAI + Langchain + vector DB) to assist reliability engineers with alarm interpretation and maintenance insights
  • Developed a full-stack GenAI-augmented risk analysis tool for mining equipment operators, integrating unsupervised learning (clustering) and domain-specific business rules to flag aggressive or unstable behavior patterns
  • Containerized the solution using Docker for local testing and deployment
  • Integrated OpenAI GPT to generate behavioral summaries and personalized messages for supervisors and operators

Data Science Instructor

Collège Bois-de-Boulogne
Montreal, Canada
12.2019 - 06.2024
  • Taught data science, Python programming, and data visualization techniques, preparing students for real-world analytical roles
  • Designed practical labs and case studies to bridge theory and industry use cases
  • Mentored students on projects involving clustering, dashboards, and business KPIs

Power BI Developer

WAHI
Toronto, Canada
02.2023 - 06.2023
  • Gathered dashboard requirements and mockups from the design team
  • Designed and developed interactive Power BI dashboards for real estate market trends and internal KPIs, translating raw data into actionable visual insights for marketing and operations teams
  • Implemented data models and DAX logic to optimize report performance and interactivity; published dashboards to Power BI Service and managed the account
  • Collaborated with the data engineering team to request data model updates for simplified DAX calculations and improved dashboard speed

Data Analyst

World Customs Organization
Brussels
12.2021 - 03.2023
  • Worked within the Drug Programme for General Aviation, supporting global efforts to monitor and mitigate illicit trafficking risks
  • Led the development of the Colibri geospatial intelligence platform, combining a secure web-based portal, mobile data collection app, and document management system
  • Integrated diverse data sources - including satellite imagery, operational reports (seizures, inspections), and geotagged field data - into a multi-layered interactive map interface
  • Enabled stakeholders to perform territorial risk assessments through custom visualizations and geo-analytical tools
  • Delivered training sessions for law enforcement agents on data collection and geospatial analysis, significantly improving field reporting capabilities
  • Collaborated with international agencies to standardize indicators and workflows for risk monitoring in general aviation

Data Scientist

iCabbi
Montreal, Canada
03.2019 - 11.2021
  • Built and maintained machine learning models to forecast taxi demand, improving dispatch efficiency across multiple urban zones
  • Designed and implemented a central data warehouse (snowflake), integrating data from over 35 MySQL databases via automated ETL pipelines
  • Developed analytical models to assess Customer Lifetime Value (CLV), supporting strategic planning and loyalty programs
  • Conducted a deep-dive analysis of ETA sensitivity on cancellation rates in digital channels (app/web), identifying critical ETA thresholds by day and hour to reduce cancellations
  • Developed interactive dashboards and visualizations to expose key insights (demand forecasts, CLV, trip patterns) to operations and product teams

Data Science Consultant

World Bank Group
Niamey
09.2020 - 09.2021
  • Supported the World Bank's capacity-building initiative to establish a data analytics unit within Niger Customs
  • Delivered hands-on training to customs officers in Python, data analysis, and data visualization techniques to enhance in-house analytical capacity
  • Conducted transactional-level analysis of customs data to identify key operational bottlenecks
  • Acted as a technical advisor for data-driven modernization efforts and risk management strategies
  • Designed and implemented an analytics database to centralize trade, clearance, and inspection data, improving accessibility and auditability
  • Developed a suite of performance metrics to monitor and streamline the customs clearance process, improving visibility for decision-makers
  • Provided strategic data recommendations to support risk management and operational reform initiatives

Machine Learning Consultant

Prix Assurance Vie
Montreal, Canada
07.2019 - 08.2020
  • Developed customer segmentation and lead scoring models to optimize marketing campaigns and conversion strategies
  • Implemented data governance practices to improve data integrity and streamline internal analytics workflows
  • Merged ad performance data from Google Ads and Facebook, providing unified marketing insights
  • Designed ETL processes to feed the Analytics database, improving data reliability and accessibility
  • Created dynamic dashboards and KPI reports to support decision-making in sales and digital marketing teams

Data Scientist

Téo Taxi
Montreal, Canada
01.2018 - 02.2019
  • Taxi demand forecast and optimize fleet distribution
  • Created dashboards to monitor trip patterns, demand hotspots
  • Supported R&D teams in improving vehicle range and charging strategies
  • Built logic to detect vehicle immobility after trip assignment, balancing GPS uncertainty and minimizing false positives
  • Developed a geo-probabilistic movement detection algorithm based on dynamic location accuracy, displacement radius overlap, and speed thresholds

BI Consultant

Solution BI
Montreal, Canada
09.2017 - 12.2017
  • Monitored and resolved ETL loading errors through log extraction and root cause analysis
  • Automated web browsing tasks to collect and structure data from external sources
  • Supported internal teams with BI process optimization and reporting automation

BI Consultant

Bombardier BRP
Valcourt, Canada
03.2016 - 06.2016
  • Cleaned, validated, and integrated dealership data for performance reporting
  • Developed dashboards using North American Salesforce data, enabling data-driven insights for sales leadership
  • Improved overall data quality and report reliability for management reviews

Formation

Maitrise - Electrical and Computer Engineering

University of Sherbrooke
Sherbrooke, Quebec
/2012 - /2015

Diplôme d'étude collégiales - Data

Montreal College of Information Technology (MCIT)
Montréal, Quebec
/2017 - /2017

Diplôme d'étude collégiales - BI & Big Data

College Bois-de-Boulogne
Montréal, QC
/2018 - /2019

Cloud Computing

Intellipaat
/2022 - /2022

Compétences

  • Machine Learning (Supervised & Unsupervised Learning)

  • Generative AI (OpenAI, Gemini, Claude,),

  • Langchain, Vector DB, RAG

  • Docker, Git

  • Python (Pandas, Scikit-learn, Flask, Plotly, etc)

  • PySpark

  • SQL, NoSQL

  • Airflow, Snaplogic, SSIS

  • AWS, AzureML

  • Ansible, Terraform, Jenkins

  • Data Viz (Power BI, Tableau, Looker, MicroStrategy)

  • Big Data technologies

Langues

Français
Langue maternelle
Anglais
Courant

Chronologie

Data Scientist

HalfSerious
03.2023 - Actuel

Power BI Developer

WAHI
02.2023 - 06.2023

Data Analyst

World Customs Organization
12.2021 - 03.2023

Data Science Consultant

World Bank Group
09.2020 - 09.2021

Data Science Instructor

Collège Bois-de-Boulogne
12.2019 - 06.2024

Machine Learning Consultant

Prix Assurance Vie
07.2019 - 08.2020

Data Scientist

iCabbi
03.2019 - 11.2021

Data Scientist

Téo Taxi
01.2018 - 02.2019

BI Consultant

Solution BI
09.2017 - 12.2017

BI Consultant

Bombardier BRP
03.2016 - 06.2016

Maitrise - Electrical and Computer Engineering

University of Sherbrooke
/2012 - /2015

Diplôme d'étude collégiales - Data

Montreal College of Information Technology (MCIT)
/2017 - /2017

Diplôme d'étude collégiales - BI & Big Data

College Bois-de-Boulogne
/2018 - /2019

Cloud Computing

Intellipaat
/2022 - /2022
ABDOULAYE MARANGASENIOR DATA SPECIALIST