Data Collection and Analysis
Project scope
Categories
Data visualization Data analysis Machine learningSkills
python (programming language) machine learning electric vehicles forecasting renewable energyWe would like to collaborate with students to gather data for renewable generation and Electric Vehicle load and create predictive machine learning models in our organization. Through using open source data and applying analytics models, methodologies, and machine learning tools, we hope to get an end-to-end machine learning solution.
Students should be prepared to:
- Identify and extract the data from various online sources and save in internal cloud data base.
- Develop a unique machine learning solution to make predictions.
- Create crone jobs(or similar) and data scrapping tools for daily copy, clean up data and create scripts to make daily reports.
A few areas of specific interest for us include:
- Python data scrapping
- Recommendation forecasting methodologies
- Bad data detection
- Reporting & Visualization
Full guidance will be provided.
Our lead engineers have 10+ years of experience, under the supervision of the lead engineers, the intern would learn the enterprise level product creation and practise their ML and AI skills to be ready for any full time job in the industry.
Daily meetings with leads and weekly sync up with management i will be arranged for 360 feedback and complete learning.
About the company
Solv4x is a female founded clean-tech firm that focuses on creating and providing intelligent problem-solving AI solutions in field of Energy. Our leadership is a niche team of professionals with decades of industry experience in developing cutting edge products. We make products to create a smart, economical and reliable power system.
Our mission is to aid the adoption of EVs keeping the electric grid robust, reduce the greenhouse gas emissions and encourage renewable integration. Our designs are futurist to adapt to V2G and autonomous driving.