Mission : The Billion Energy – State of Geneva
Contribute to the development and monitoring of the Energy Transition Plan (ETP) for the State of Geneva, covering over 1,500 public buildings. Ensure data consistency and quality for energy renovation projects through structured integration of various information systems.
→ Improved energy data management and accelerated decision-making for optimising the energy efficiency of Geneva's public building stock.
Mission: Forecasting System for Agricultural Markets
Design and deploy a forecasting module for global agricultural market factors (prices, yields, stocks, supply & demand) and automate the generation of HTML-based reports to support decision-making for hedge funds and trading clients.
→ Enabled DNext to deliver accurate, timely market predictions to clients, enhancing their competitive positioning in commodity markets.
Mission: Data Warehouse & Dashboarding
Build an automated data warehouse to structure supplier quality data using DataVault 2.0 methodology, and create real-time dashboards to help the Quality Department track supplier performance and identify areas for improvement.
→ These dashboards significantly reduced manual reporting time and are still used by the Supplier Quality Manager during meetings to quickly identify improvement opportunities.
Advanced
Experienced
Advanced
Intermediate
Advanced
Intermediate
Advanced
Experienced
Advanced
Intermediate
Advanced
Intermediate
Experienced
Experienced
Advanced
Intermediate
Advanced
Advanced
Experienced
Experienced
Advanced
Intermediate
Advanced
Advanced
Mission : The Billion Energy – State of Geneva
Contribute to the development and monitoring of the Energy Transition Plan (ETP) for the State of Geneva, covering over 1,500 public buildings. Ensure data consistency and quality for energy renovation projects through structured integration of various information systems.
→ Improved energy data management and accelerated decision-making for optimising the energy efficiency of Geneva's public building stock.
Mission: Forecasting System for Agricultural Markets
Design and deploy a forecasting module for global agricultural market factors (prices, yields, stocks, supply & demand) and automate the generation of HTML-based reports to support decision-making for hedge funds and trading clients.
→ Enabled DNext to deliver accurate, timely market predictions to clients, enhancing their competitive positioning in commodity markets.
Mission: Data Warehouse & Dashboarding
Build an automated data warehouse to structure supplier quality data using DataVault 2.0 methodology, and create real-time dashboards to help the Quality Department track supplier performance and identify areas for improvement.
→ These dashboards significantly reduced manual reporting time and are still used by the Supplier Quality Manager during meetings to quickly identify improvement opportunities.
Advanced
Experienced
Advanced
Intermediate
Advanced
Intermediate
Experienced
Experienced
Advanced
Intermediate
Advanced
Advanced
Advanced
Experienced
Advanced
Intermediate
Advanced
Intermediate
Supporting the Energy Transition Plan (The Billion Energy L13210) for the State of Geneva by optimizing energy and property data management across 1,500+ public buildings.
Dashboards used by OCBA track key energy performance indicators, show progress on savings, and highlight what remains to meet 2030 and 2050 targets set by the Council of State.
The Vallée de Joux is the cradle of the fine art of watchmaking, where thousands of watches and bespoke creations for the luxury watch market are produced every year.
Jaeger-LeCoultre's fame has been built on major revolutions in the world of watchmaking, both through its creativity and its ability to design watches that were ahead of the technology of their time.
In the dynamic global agricultural commodities market, DNEXT is emerging as a driving force in the industry. Based in Geneva, it provides a data platform that revolutionizes the way market participants interact with information.
It serves as a guide for predicting future market trends and helps its clients to make informed decisions in a multi-factorial industry.
The study is based on a database published in 2013 by Slovakian statistics students who surveyed their relatives on a range of topics, including their musical preferences.
I use different classification methods to see which variables can tell us whether a visitor is going to buy or not on a web site.
The methods used are :
In 2034, it will be illegal to rent a E-rated property. That's 34% of the French housing market. Such a commitment can only disrupt the French property market in the short and long term.
An application that uses the odds available on sports betting platforms to predict the outcome of a soccer match using neural networks, random forests, logistic regression and more.
With "Predictaball", turn your passion for betting into a controlled-risk investment.
Solow's Model
This video presents a quantitative macroeconomics course, explaining the concept of growth.
This bot plays with you! Describe your situation and it will generate over 100,000 identical poker scenarios, finishing each one in a few seconds.
Thanks to the 100,000 scenarios played, it will calculate the probability of you winning, taking into account the number of players, and advise you on your next move.
Creation of Quarto dashboards enabling the monitoring of a consulting firm's CRM data, including revenue, profit, margins, and costs per consultant, while providing an overview at monthly, quarterly, and yearly levels along with growth targets. The dashboards also allow direct extraction of invoicing and contract data.
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