CS STUDENT · CLASS OF 2027

Ahmed
Berrada

Breaking intoFinance.

Building at the intersection of markets, machine learning, and data — one project at a time.

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01
ABOUT

Turning data into
decisions.

I'm an engineering student (Class of 2027) at the intersection of computer science, artificial intelligence, and finance. My work focuses on learning by building: from predictive models to data pipelines and practical analytics projects.

I like working across disciplines and turning theory into concrete deliverables. My goal is to keep improving through hands-on projects, internships, and mentorship.

PythonPyTorchSQLApache SparkReactTypeScript
EXPERIENCE
Sep 2025 — Present
Apprenticeship — Computer Networks
Siemens Mobility
Ongoing apprenticeship focused on network infrastructure and reliability.
2024 — Present
Ambassador
ESIEA
Representing ESIEA through events, outreach, and student engagement.
2024
Internship — Computer Networks & Cloud
Maroc Telecom
Contributed to network and cloud projects, including infrastructure and deployment support.
2023
Internship — Computer Networks
Axeli
Supported network setup, monitoring, and day-to-day operational tasks.
02
PROJECTS

Project Roadmap

DATA ENGINEERING · FINANCE

Market Data Pipeline

Ingestion + Normalization + Feature Store
01

Build a production-ready ingestion pipeline for equities and crypto market data. Standardize schemas, validate quality, and expose cleaned datasets for modeling and analytics.

Reliability
Focus
Clean OHLCV
Output
Model Inputs
Use
PythonPostgreSQLSparkDocker
VIEW ↗
AI · BACKEND

Forecast Service API

Time-Series Modeling + API Delivery
02

Deploy a forecasting service with versioned models for short-horizon price movement estimation. Include model tracking, input validation, and an API contract for downstream apps.

Model Ops
Focus
7-Day Forecast
Output
Dashboard API
Use
Scikit-learnFastAPIGitHub ActionsAWS Lambda
VIEW ↗
QUANT ANALYTICS · FRONTEND

Risk Monitoring Dashboard

Volatility + Drawdown + Alerts
03

Create a web dashboard that tracks rolling volatility, downside risk, and drawdown behavior for a defined basket. Add alerting logic and data quality guards.

Risk Metrics
Focus
Live Monitoring
Output
Decision Support
Use
Next.jsTypeScriptYFinance APIPostgreSQL
VIEW ↗
CLOUD · DEVOPS

Cloud Quant Sandbox

Infrastructure as Code for Research
04

Provision a reproducible research environment for experiments and backtests using Terraform, containerized workloads, and automated CI checks.

Reproducibility
Focus
IaC Templates
Output
Team Workflow
Use
TerraformDockerKubernetesGitHub Actions
VIEW ↗
03
SKILLS

Expertise

DATA & AI
Python (Pandas, Polars, Scikit-learn)
PyTorch / TensorFlow
SQL (PostgreSQL)
Apache Spark
FINANCE
Quantitative Analysis
Time-Series Forecasting
Risk Modeling
API Integration (YFinance / Alpha Vantage)
CLOUD & DEVOPS
Docker / Kubernetes
AWS / Azure (EC2, S3, Lambda)
CI/CD Pipelines (GitHub Actions)
Terraform
CORE ENGINEERING
C++
Java / Go
System Design
REST APIs
04
CONTACT

Let's build something together.

Open to job opportunities in finance, data, and AI. I'm currently building my experience and always happy to connect around interesting projects.

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LinkedIn
Ahmed Berrada
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GitHub
Ahmed-Berrada
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Email
aberrada@et.esiea.fr
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