Nicolas Morant

Technical Program Manager | Lead Engineer & Data Scientist

  • Location : San Francisco Bay Area, California
  • Languages : Bilingual in English & French
  • Contact : Reach out via LinkedIn

About

Nicolas Morant began his technology journey at age 12, teaching himself HTML when the web was dominated by static pages and basic design. This sparked a passion that led to a diverse career spanning industries and continents. After earning a BBA and MBA, he transitioned from marketing to operations management, taking leadership roles at companies like Dainese and Corporate Stays, where he drove growth and efficiency.

To deepen his technical expertise, Nicolas earned a Master’s in Data Science from Harvard, refining his focus on AI, machine learning, and computer vision. This advanced knowledge directly influenced his work in non-invasive wildlife tracking.

In his current role as Technical Program Manager, Lead Engineer and Data Scientist at WildTrack, Nicolas leads AI-driven projects for wildlife protection. He actively contributes to software engineering, UI/UX design, and machine learning while ensuring efficient workflows through CI/CD and DevOps practices.

Nicolas’ journey from a self-taught coder to a recognized leader in conservation technology underscores his commitment to innovation, continuous learning, and applying technology to solve complex global challenges.

Education

Harvard University

Master of Liberal Arts, Data Science
May 2022

CEFAM

Master of Business Administration, International Business & Management
May 2012

Pace University

Bachelor of Business Administration, Marketing
May 2012

Experience

WildTrack

Technical Program Manager & Lead Engineer/Data Scientist (Since June 2022)
Data Scientist / Machine Learning Engineer (Jan. 2022 - June 2022)
2022 - Present (2+ years)

Dainese

Branch Manager
2018 - 2019 (2 years)

Corporate Stays

Branch Manager (2016-2017)
Operations Manager (2014-2016)
Project Manager (2013-2014)
2013 - 2017 (4 years)

Dale Carnegie

Marketing Coordinator for New York City & EMEA Region
2012 - 2013 (1 year)

Technical Skills

Programming Languages

Core Competency
Python:
Machine learning, data analysis, and backend development.
95%

R
Statistical analysis, data visualization, and modeling.
85%

SQL
Database management, querying, and data manipulation.
90%

HTML/CSS, SCSS
Responsive web design, implementing modern UI/UX principles.
90%

Liquid
Shopify and Jekyll theme development.
95%

Dart, TypeScript, JavaScript
Frontend and mobile app development (e.g. React, Flutter).
75%

Frameworks & Libraries

Technical Stack
Python:

Pandas, TensorFlow, OpenCV, NumPy, Scikit-learn, SciPy, Matplotlib, NetworkX, PyTorch, MLflow, Delta Lake, PySpark, TensorBoard, Beautiful Soup, Pytest, Unittest, Selenium, Luigi, etc.

R:

ggplot2, plotly, leaflet, shiny, caret, GGally, glmnet, dplyr, brglm, tidyverse, moments, binom, psych, mosaic, h2o, Rcpp, parallel, rmarkdown, knitr, R Studio, etc.

Web Development:

Flask, Django, Bootstrap, Jekyll, React.

Mobile Development:

Flutter.

Tools & Platforms

Technical Toolkit
Cloud Platforms:

AWS, Azure, SageMaker, Databricks, Spark, Renku, Colab, Hasty.

DevOps:

Git, Docker, Jenkins, Travis CI, CircleCI, GitHub Actions, CI/CD pipelines.

Design Tools:

Figma, Photoshop, Illustrator, InDesign, Premiere Pro, Final Cut Pro.

Databases:

PostgreSQL, MySQL, MongoDB, SQLite.

Other Tools:

Jupyter Notebooks, PyCharm, Tableau, QGIS.