NEXUS QUANT

Powering Big Data Decisions with
Advanced Data Scraping & Analysis


About Us

At NEXUS QUANT, we specialise in delivering data scraping and big data analysis solutions tailored for the renewable energy industry. Our mission is to help renewable energy businesses unlock the full potential of their data, transforming it into actionable insights that drive smarter operational decisions and sustained growth.


Our Commitment

Our commitment to integrity, accuracy, and efficiency is at the heart of everything we do. Our Data Analyst use the latest tools and technologies to gather, analyze, and visualize data, ensuring that your financial decisions are always backed by reliable insights. We don’t just provide data—we provide clarity.


Our Expertise

With over 5 years' experience in data analytics and forecasting, we understand the unique challenges that renewable energy companies face in navigating a complex, data-rich environment. Whether you’re looking to optimize your operational strategies, identify market trends, or tinker around with data forecasting, our team of experts is here to provide data-driven solutions that give you a competitive edge.

Data Scraping & Web Mining

We specialize in collecting and processing large volumes of data from a variety of renewable energy industry sources, including market trends and usage of energy resources. Our data scraping tools ensure that you have access to the most relevant and up-to-date data, empowering your decision-making.

Big Data Analysis & Forecasting

Our expert team uses advanced financial analysis techniques to help you make data-driven decisions, optimize costs, and improve profitability. We provide insights into your financial performance, cash flow management, and future growth prospects.


Past Achievements

Increased process time required for market analysis by 40%, enabling client to respond quickly to market changes.

Implement REST APIs using Django REST Framework (DRF) to calculate investment metrics

Developed a machine learning model that achieved an accuracy level of 92% in predicting average retail prices of Vehicels in the Automotive Industry

Scraped over 15,000 vehicle listings from 4 websites within a three-week timeframe.

Our Offer



Contact Us

Find out how you can leverage on streamlining operational strategy with your everyday data.