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Hi, I'm Kenzi LALI 👋

Data Scientist Intern | Data Engineering | Financial Data & BI


🎯 About Me

🎓 Engineering student in Data & Artificial Intelligence — ECE Paris (2024–2027)
📊 Data professional with experience in Finance, SAP, BI, and Data Pipelines
⚙️ Strong focus on data reliability, scalable analytics, and decision support systems

💡 I specialize in turning:

raw, complex, and imperfect data → into structured, reliable, and actionable insights


💼 Experience

Data Scientist Intern (Finance) — Orano

📍 Paris | 📅 Sep 2024 – Jan 2026

  • Built data quality monitoring dashboards (Power BI) for financial KPIs
  • Automated regulatory controls (Sapin II) using ACL Analytics & HighBond
  • Processed SAP data for audits, reporting, and compliance
  • Detected and corrected data inconsistencies in financial systems

Data Engineer Intern — Hector Advisory

📍 Paris | 📅 Sep 2023 – Sep 2024

  • Designed ETL pipelines using Power Query
  • Automated business workflows with Power Automate
  • Developed internal tools with Power Apps
  • Delivered operational dashboards (Power BI)

Software Testing Intern — Crédit Agricole CIB

📍 Paris | 📅 Jul 2022 – Aug 2022

  • Conducted functional testing via Jira
  • Performed BI analysis using Cognos

🎓 Education

🎓 Engineering Degree — Data & AI
ECE Paris (2024 – 2027)

🌍 Exchange Program — Algebra University (Zagreb, Croatia)
May 2025 – Jul 2025
→ Statistics, Probabilities, C++, Data Storytelling Certification

🎓 Bachelor MIAGE (Information Systems & Data)
Université Paris Nanterre (2023 – 2024)

🎓 Bachelor MIASHS (Maths & Computer Science Applied)
Université Paris 1 Panthéon-Sorbonne (2020 – 2023)


🤖 Featured Projects

Scientific Graph Analytics Pipeline

End-to-end pipeline processing millions of scientific records

  • Graph construction (NetworkX)
  • Community detection (Louvain)
  • Centrality metrics (PageRank, Betweenness)
  • Visualization (Gephi, Streamlit)

👉 Focus: Data Engineering + Graph Analytics


Real Estate Investment Analysis

Data-driven investment decision system

  • Yield calculation & price evolution
  • Data cleaning & feature engineering
  • Analytical pipeline

👉 Focus: Business Analytics + Financial Modeling


Big Data Transport & Weather Pipeline

Real-time data pipeline combining APIs

  • Kafka ingestion
  • Stream processing
  • HDFS / HBase storage

👉 Focus: Big Data Engineering


Beneficiary Lifecycle Management System

Operational data & workflow system

  • Business rule automation
  • Data lifecycle tracking
  • Decision dashboards

👉 Focus: Data + Operations + BI


🧠 Leadership

Director — Cop1 Solidarité Étudiante

📅 2020 – Jun 2025

  • Led multi-level teams (~20 managers supervising their own teams)
  • Managed large-scale student aid operations and logistics
  • Structured workflows, coordination, and decision-making processes

👉 Demonstrates:

  • leadership
  • organization at scale
  • real-world operational management

⚙️ Tech Stack

Languages
Python, PL/SQL, ACL, Power Fx, Bash

Data & ML
Pandas, NumPy, NetworkX, Scikit-learn

BI & Analytics
Power BI, Tableau, Metabase, Power Query, Orange Data Mining, Cognos BI

Tools & Platforms
Azure, SAP, ACL Analytics, HighBond, AppScript Power Apps, Power Automate, Git, Modelio


🚀 What I Bring

  • Hybrid profile: Data Engineering + Analytics + Business
  • Experience with real production data (finance, SAP, compliance)
  • Ability to build end-to-end data workflows
  • Strong focus on data quality and reliability

🎯 Currently

Open to opportunities in:

  • Data Science
  • Data Engineering
  • Advanced Analytics / BI

📬 Let's Connect

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