About Me

Sitraka Forler

Hello! I'm Sitraka FORLER, a French Data & IT professional passionate about building intelligent systems that create real-world impact. With expertise spanning Data Science, Machine Learning, Cloud, and Cybersecurity, I help organizations unlock the value hidden in their data.

Alongside my consulting career, I am the Co-Founder of LuxAiOps, a startup dedicated to bringing intelligent IT Operations and automation to Luxembourg and Europe. I also take on freelance projects — delivering tailored, production-ready solutions to clients.

Feel free to explore my professional experience, browse my technical skills, learn about LuxAiOps, or get in touch. You can also visit my main website at sitraka.fr.

Experience

Engineering

🏢 Data & Digital Consultant — Initio Luxembourg

October 2022 — Present

  • Automated workflows and processes saving significant employee time
  • Designed and built test automation frameworks (front-end & back-end)
  • Integrated automated testing into CI/CD pipelines
  • Combined manual & automated testing for compliance-driven QA

Tech stack: Python · Azure · MLOps · RPA · SQL · CI/CD

📊 Data Scientist — VirtualExpo Group

March 2021 — September 2022

  • Applied NLP to product descriptions (Keras, TensorFlow, Hugging Face)
  • Analyzed web traffic KPIs with HeidiSQL, Python, and Excel
  • Built predictive models for the sales department
  • Conducted quality audits, set up monitoring dashboards

Tech stack: Python · Keras · TensorFlow · Hugging Face · SQL · Git

Code & Skills

Code

🐍 Python & Machine Learning

End-to-end ML workflows — from data labelling to cloud inference.

  • Data cleaning, feature engineering, model training
  • NLP: document classification, text analysis (Hugging Face, Keras, TensorFlow)
  • OCR: Textract API for document digitization
  • MLOps: building training pipelines & model monitoring
  • CodinGame competitor profile

Packages: pandas · scikit-learn · TensorFlow · Keras · Streamlit · NumPy

💻 Data Science & Analytics

I drive the development and production of ML models in asset management, automation, and data insights. The goal is always: does it bring value to the customer? Does it bring value to the planet? 🌍

🔐 Cybersecurity & Monitoring

Hands-on experience with Venafi (certificate management) and Splunk (advanced SIEM analytics) — ensuring data security, anomaly detection, and system integrity.

🗄️ Databases

Relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra). Key competencies:

  • Entity-Relationship modeling & normalization
  • Complex SQL queries (JOINs, aggregations, CTEs)
  • Indexing strategies & query optimization
  • ACID properties & transaction management

Example SQL query:

SELECT customer_id, SUM(amount) AS total_amount
FROM transactions
WHERE transaction_date >= '2023-01-01'
GROUP BY customer_id
HAVING SUM(amount) > 1000
ORDER BY total_amount DESC;

📈 Data in Finance

From risk modeling to algorithmic trading — I leverage data to power financial insights.

  • Time series analysis for market prediction
  • Risk modeling with statistical methods
  • High-frequency trading data processing
  • Regulatory compliance & data governance

Interactive Compound Interest Calculator

Try it out with different values:

🐍 Python Code Examples

Stock data analysis with pandas:

import pandas as pd
import numpy as np

df = pd.read_csv('stock_data.csv', parse_dates=['Date'], index_col='Date')
df['Daily_Return'] = df['Close'].pct_change()
volatility = df['Daily_Return'].std() * np.sqrt(252)
df['MA_50'] = df['Close'].rolling(window=50).mean()

print(f"Annualized Volatility: {volatility:.2%}")
print(df.tail())

Compound interest function:

def compound_interest(principal, rate, time, n=1):
    amount = principal * (1 + rate/n) ** (n * time)
    return amount, amount - principal

final, earned = compound_interest(1000, 0.05, 5)
print(f"Final: ${final:.2f}  |  Interest: ${earned:.2f}")

LuxAiOps

LuxAiOps

Pioneering AIOps (Artificial Intelligence for IT Operations) in Luxembourg and across Europe.

🚀 Our Vision

Modern IT infrastructure is becoming increasingly complex. At LuxAiOps, we believe the solution is leveraging AI/ML to automate monitoring, detect anomalies before they cause downtime, and streamline IT operations. We are building the next generation of intelligent tools for enterprise resilience.

🛠️ Core Offerings

  • Predictive Analytics: Forecasting system failures and resource bottlenecks before they impact the business.
  • Intelligent Automation: Automated root-cause analysis and self-healing systems.
  • Secure & Compliant AI: Solutions tailored to the strict regulatory requirements of the European market (GDPR, DORA).
  • MLOps Consulting: Helping companies deploy and scale their own machine learning models reliably.