Dedicated Data Science Consultant with history of meeting company goals utilizing consistent and organized practices. Specialized in building AI-powered business solutions with over two years of experience in identifying business problems, creating machine learning models and transforming data science prototypes to production-grade solutions. Consistently employs statistical methods and designs to yield real gains from models and data.
Work History
Data Scientist
Levi Strauss & Co (Launchpad)
Remote
10.2021 - Current
Utilized advanced querying, visualization and analytics tools to analyze and identify products with high returns and main reasons for product returns.
Created and implemented forecasting model that identify orders with returns at purchase time with F1-score of 0.8
Trained and mentored Levi Strauss & Co employees from various departments for the Machine Learning Boot camp (Upskill program). .
Data Scientist
Dockers (Launchpad)
Remote
05.2021 - 10.2021
Built a state-of-the-art price/promo optimization tool for the client using ML-based Surrogate Optimization technique, leveraging CATBoost and Multi-Objective TPE. Increased the net margin by 5% and demand by 10 %. Documentation here: https://www.launchpad.ai/blog/price-optimization-model
Built an app for business to do what-if price/promotion analysis using Streamlit.
Created model-based personalized email recommendation which recommends the promotion and the type of product for each user.
Created a customer segmentation model, which was able to pick user segments, based on website and email interactions.
Optimize email campaigns using a series of NLP and computer vision models resulting in 20% uplift in consumer engagement. Technical insight of project can be found here: https://www.launchpad.ai/blog/creative-optimizer
Machine Learning Engineer
Health Care Client (Launchpad)
Remote
12.2020 - 05.2021
Team leader of computer vision research group aimed to analyze X-ray images and classify bone implants. Model reached accuracy of 75%.
Deployed product as private mobile app with contentious training pipeline in back-end.
Created data mining architectures and identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques.
Data Science & Machine Learning Fellow
Fellowship.AI(General Electric)
Remote
09.2020 - 12.2020
Graduated as top fellow in cohort 19 and was hired by Launchpad.AI, parent company of Fellowship.AI
Designed and trained custom Convolutional Neural Network for detecting vegetable readiness in a smart oven for General Electric with accuracy of 80% on a real-world test set. Project Documentation: https://www.mayssamnaji.com/?pgid=kvuw0d5y-veggie-doneness-model_8
Developed custom image processing, augmentation pipelines, and GANs to generate synthetic data, which created uplift of 15% accuracy.
Engineering Manager - CloudOps & DevOps at Levi Strauss & Co. - Levi's Haus Of StraussEngineering Manager - CloudOps & DevOps at Levi Strauss & Co. - Levi's Haus Of Strauss