Benjamin Hadad

Data Scientist

https://talent.gravityer.com/benjamin-hadad

SWE @ Databricks

Member since June 26, 2026

Key Strengths

Demonstrated interest in quantitative finance and machine learning through personal projects like 'JaneStreetMarketForecasting', 'CryptoOptionsBacktester', 'IMCProsperity3', and 'StatArbBot'.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to Python for machine learning and data science tasks, as seen in 'MATSApplicationProject' and 'mars-attacks'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards quantitative analysis, machine learning, and trading, which aligns well with a data scientist role in a finance-oriented or research-heavy environment. However, the projects are predominantly personal and lack diversity in team collaboration or large-scale system contributions, which might indicate a need for development in a collaborative, production-oriented setting. The absence of professional experience or education makes it difficult to fully assess cultural fit beyond individual project interests.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

codemath3000.github.io

April 29, 2026 – Present

My personal portfolio website

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mars-attacks

December 8, 2025 – Present

Dynamic Attack Selection in Agentic AI Control Evaluations

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ResidualDirectionEditing

September 13, 2025 – September 13, 2025

Direction editing in the residual stream of Gemma-2-27B to shift external‐action (i.e. "snitching") decisions in modified SnitchBench environment; includes CSVs, plots, and a minimal, reproducible notebook.

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MATSApplicationProject

August 30, 2025 – August 30, 2025

MATS Application Project

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MechInterpReplication

August 27, 2025 – August 27, 2025

Mechanistic Interpretability: Induction Head Micro‐Replication

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JaneStreetMarketForecasting

July 4, 2025 – July 4, 2025

This repository contains my finalized submissions for the Jane Street Real-Time Market Data Forecasting Kaggle competition.

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CryptoOptionsBacktester

June 6, 2025 – June 6, 2025

A simple backtester for crypto options trading strategies

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IMCProsperity3

June 5, 2025 – June 5, 2025

This repository shows my results for the IMC Prosperity 3 trading competition.

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StatArbBot

June 4, 2025 – June 4, 2025

A basic trading strategy using pairs trading and statistical arbitrage

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mathquest

May 5, 2024 – May 5, 2024

mathquest — GitHub repository

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Key Strengths

Demonstrated interest in quantitative finance and machine learning through personal projects like 'JaneStreetMarketForecasting', 'CryptoOptionsBacktester', 'IMCProsperity3', and 'StatArbBot'.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to Python for machine learning and data science tasks, as seen in 'MATSApplicationProject' and 'mars-attacks'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Benjamin Hadad

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit