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Network Power<100 people
Roles
🧑💼100%
C-level Executive
🧮100%
Education
💰50%
Investor & VC
Geos
🇺🇸50%
United States
Work Background
DatumLocusData Scientist
Jun. 2024 - Dec. 2024Lille, Hauts-de-France, France• Built interactive Tableau/Power BI dashboards using SQL/Python to integrate multiple data sources, enhancing dairy market insights.
• Engineered automated ETL pipelines for 200+ data sources with SQL, Python, and Selenium, driving a 40% boost in operational efficiency.
• Enhanced LSTM-based time-series forecasting for dairy and meat prices and volumes, improving forecast accuracy by 20% through optimized data preprocessing and model tuning.
• Developed and deployed an advanced AI agent leveraging NLP (BERT) and top-tier LLMs (LangChain, Hugging Face, LLaMA, Mistral, OpenAI) with prompt engineering, fine-tuning, and RAG for enhanced trade data analysis and market insights.
EuraTechnologiesFounder/Capstone Project/Lead Developer
Oct. 2023 - Jun. 2024Lille, Hauts-de-France, France• Led the AI-driven GreenTech initiative "BeClean" as the capstone project at IESEG School of Management, incubated under the prestigious Euratechnologies Incubation program.
• Collaborated with startup managers and the broader startup ecosystem to drive strategic direction and promote sustainable practices across industries.
• Developed computer vision models for image-based material classification, integrating deep learning to significantly enhance waste identification accuracy.
• Championed a mission to reward sustainable habits and propel GreenTech forward, aiming for global impact through partnerships with corporates, institutions, governments, and agencies.
IÉSEG School of ManagementData Science Consulting Project
Jan. 2023 - May. 2023Lille, Hauts-de-France, FranceGreen Client Analysis | Hackathon
• Led an AI-powered customer segmentation project as part of the Masters in Big Data Analytics for Business program at IESEG School of Management in association with Crédit Agricole Nord de France.
• Analyzed 1M+ data points and processed 1K+ real-time requests using SQL and Python, boosting marketing efficiency by 15%.
• Developed a dynamic Streamlit dashboard for real-time clustering and predictive modeling to accelerate data-driven decisions.
• Presented key insights to senior executives, influencing AI adoption strategies for personalized banking.
EricssonAssistant Engineer
Dec. 2016 - Feb. 2020India• Optimized distributed network solutions across 10,000+ nodes (2G, 3G, 4G, LTE), achieving 98% network availability through advanced engineering and collaboration.
• Created Network Performance Analysis reports using Advanced Excel, SQL, and Python to deliver insights that improved issue resolution and operational metrics.
• Led performance analysis and troubleshooting initiatives, ensuring seamless connectivity and minimal downtime.
• Optimized radio access networks (RAN) via data-driven decision-making, significantly boosting network efficiency.
• Collaborated with vendors, stakeholders, and operational teams to drive strategic improvements in network infrastructure while ensuring adherence to industry standards and best practices.
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