Data drives all of today’s megatrends. We tailor our data science approach to the business needs of each of our clients – the type and amount of data that they collect, and the analytics techniques that are most effective for them. By combining the skills of data scientists, machine learning experts, and programmers, we offer the best solution to our clients. Our customers can then use these insights as a decision-making tool.
Consulting
Strategy Building
Data Visualization
Data Science Development
DSaaS
Advisory Services Training
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A key factor for getting started with Data Science is to know what your business needs and define it.
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The next step is to collect data from various sources, which includes Web scraping and API expertise.
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Depending on the requirements, the data is then stored in either a Data Lake or a Data Warehouse.
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With the help of big data, using many ways the analysts provide insights to determine effective decisions for decision-makers.
case study
Global Structured Finance Ltd (GSF) provides loan eligibility evaluation for banks, trusts, credit unions, and private lenders. Expertise includes cash flow analysis, Treasury balance sheet management, liquidity risk analysis, and hedge effectiveness analysis. Opportunity: They aimed to develop an AI-centric platform that can evaluate loans, assess credit risks, manage assets and liabilities, and generate reports. Approach: AutoML technology has been used to develop an AI-driven web platform. A Django backend and Angular front end were used to implement the solution. It also involves developing Machine Learning (ML) algorithms using H2O AutoML to calculate the Probability of Default (PD), Expected Loss…
case study
Z-Enviro Industries Pvt. Ltd is one of the largest electronics recyclers in Hyderabad, with a recycling capacity of 10,000 tons per year. It was founded in 1999 as Famous Trading Company and mainly dealt with electronic scrap. The company also imported used computers from China, Hong Kong, Malaysia, and other countries. Currently, Z Enviro, as a firm, is working at the pan-India level and provides complete end-life management of electronic equipment, providing a one-stop, cost-effective solution. Opportunity: The company issued invoices to LG, Samsung, etc. in order to process e-waste for its clients. The invoice must be accompanied by images…
case study
The Battery Management System (BMS) is a system that uses artificial intelligence and is designed to predict the remaining battery life of a device. Opportunity: There are many automotive and stationary batteries without any management system, so their capacity declines abruptly, overloading the connected batteries. Approach: The battery is connected to an IoT device that measures current, voltage, and temperature. We used Random forest to extract some features and predict SOH. Using the LSTM time series model, we forecasted SOH and RuC up to 100 cycles later. Results: There were positive results from the studies. To produce more accurate results,…