Bruno Tabet

AI & Machine Learning Engineer

New York, NY, US

scikit-learn

Matlab

Plotly

BigQuery

TensorFlow

PyTorch

Javascript

pandas

Docker

JavaScript

NumPy

NLTK

A/B Testing

SQL

Node.js

Stripe

React Native

Tensorflow

Git

Keras

Streamlit

TypeScript

Python

Optimization

Scikit-learn

Forecasting

FastAPI

CSS

A/B testing

MATLAB

Java

Pandas

HTML

Available for hire fromNegotiable

Data Scientist / ML Engineer | Applied ML, XGBoost, PySpark, GCP & Agentic AI Projects

Data Scientist / ML Engineer with experience building predictive and applied machine learning solutions (XGBoost, PySpark, RNNs) and deploying analytics and automation tools across healthcare and financial services. Strong academic background in Data Science and Industrial Engineering/Operations Research (Berkeley MEng; CentraleSupelec), with hands-on experience integrating LLM/agentic systems and building full products (SaaS and chatbots).

Projects

Najma – agentic AI decision engine

• Solo-built an agentic decision engine: a deterministic scorer computes results on Swiss Ephemeris math while the LLM only narrates them, with server-side validation preventing hallucination. React Native, Groq LLMs; web live, iOS in App Store review.See More

hiresort – AI resume-screening SaaS

• Solo-built and shipped a SaaS that scores and ranks applicants against user-defined criteria, showing each candidate’s strengths and gaps. Local embeddings pre-filter to cut LLM cost; scoring runs as chunked, resumable jobs. Next.js 14, TypeScript, Stripe.See More

Ahlein – agentic WhatsApp booking bot

• Built a multi-tenant, agentic WhatsApp bot that lets calendar-based businesses (clinics, salons, gyms, tutors) run bookings entirely over chat. Customers book, reschedule, or cancel in everyday language or by voice note, and the bot handles Arabic dialects, French, and English. It checks live availability and stays in two-way sync with Google Calendar. Python, FastAPI, Gemini, WhatsApp Cloud API.See More

Predicting the next impactful scientists (UC Berkeley MEng capstone)

• Built classification and time-series models to predict which scientists will make future breakthroughs, from their patents, publications and citations. ˜89% accuracy with boosting; ±48 MAE on yearly-citation forecasts. Advised by Prof. Lee Fleming.See More

Work History

Data Scientist Full-time

CVS Health• Building the internal tool that ends the constant source hunting for prior authorization operators. Every time an operator opens a case, they now see all the work instructions that actually apply to it, including state specific rules with a direct link to the exact value, all matched automatically from the case’s metadata. Saving an estimated $300K a month. (GCP, BigQuery, Python)

Business Analyst / ML Engineer Full-time

Encore Capital Group - Midland Credit ManagementAug 2024 - Sep 2025 • 1 yr 2 mos• Developed an XGBoost model to forecast 2025 collections by purchase year, using historical collection data and categorical features for each portfolio (seller, face value). Achieved <1% MAPE on training data for 2024 collections. • Developed and deployed two XGBoost models with Python and PySpark on Azure to predict weekly digital and garnishment collections (<3% MAPE), leveraging historical trends and marketing activity (mail, email). • Daily use of SQL on Microsoft SQL Server Management Studio to get relevant data for Investment Risk Management.

Management Consultant Internship

BearingPoint ParisFeb 2023 - Jul 2023 • 6 mos• 3-month mission for a French transit company to pilot the management of a new train line. • 2-month mission to pilot a French electric utility company’s shift towards a new ERP tool across the teams impacted.

Data Scientist Internship

Veolia DubaiJul 2022 - Dec 2022 • 6 mos• Built a Python ML tool with a Streamlit interface to predict mall energy consumption. Processes 80 features from an API and used cross-validation to optimize regression, saving analysts a month of work annually. • Built a RNN to reduce by 35% HVAC usage in VOX cinemas, using temperature, rooms size and occupancy data.

Education

University of California, Berkeley

Master of Engineering, Industrial Engineering and Operations Research2023 - 2024

University Paris-Saclay (CentraleSupelec)

Master of Engineering, Data Science2021 - 2024

University Paris-Saclay (CentraleSupelec) & Janson de Sailly

Bachelor of Engineering, Mathematics, Physics, Computer Science2018 - 2021

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