DATA SCIENCE &
DATA ANALYTICS
USING BIG DATA

All kinds of advanced
algorithms for every industry

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ADVANCED TRAINING
ON HADOOP &
ECOSYSTEM

One of the best in the industry
delivered direclty by our CEO

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INTEGRATION OF
INTERNET OF THINGS
(IoT) & BIG DATA

We connect devicess with big data
analysing inputs with advanced algorithms
delivering targeted services to clients

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welcome to PassionBytes

(Big) Data Driven Science & Analytics

Scalable, flexible and familiar methodologies bringing value by linking information with massive parallel computing capabilities leveraging Hadoop. We take data science into next level focusing on data analytic efforts looking at customer's lifetime value on traditional and real world segments to drive profit using advanced machine learning algorithms using clustering, classification and filtering algorithms

Internet of Things (IoT) & Big Data

As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Just like with any big-data play, merely collecting the data isn't enough. The data must be processed and analyzed to glean insights, and those insights must drive actionable steps that can improve the business. Leave this business to us.

Advanced Training and Consultancy

The best in class technology services combining the years of experience both in traditional and big data solutions and products. Hear directly from our CEO, who is obsessively passionate about training with brilliant articulation skills. The courses are filled with rich content, practical solutions and project work, enabling the candidate to enter market and embrace big data within a month's time

Ready for Smart Analytics ?


Predictive models and analysis are typically used to forecast future probabilities. Applied to business, predictive models are used to analyze current data and historical facts in order to better understand customers, products and partners and to identify potential risks and opportunities for a company. It uses a number of techniques, including data mining, statistical modeling and machine learning to help analysts make future business forecasts

Subsequent data mining requires a class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior. For example, data mining software can help retail companies find customers with common interests. The phrase data mining is commonly misused to describe software that presents data in new ways. True data mining software doesn't just change the presentation, but actually discovers previously unknown relationships among the data

With massively parallel executions of various classification, collaborative and segmentation algorithms we bring leads and tips to improve your business. Powerful R scripts will be used to bring the value from information

Here are some facts about the use of R in the industry


Invited talk at Jax Big Data

Speaking engagement on Collaborative Filtering and Recommendations

August 26th, 2015 at 6 East Bay Street 4th Floor Jacksonville, FL MAP HERE

  • Bill Gates Microsoft

    Never before in history has innovation offered promise of so much to so many in so short a time..

  • Steve Jobs Apple, Pixar

    "Creativity is just connecting things. When you ask creative people how they did something, they feel a little guilty because they didn't really do it, they just saw something. It seemed obvious to them after a while." - Steve Jobs

  • Alex Pentland (Sandy) Social Physics, MIT

    "Put another way, social physics is about how human behavior is driven by the exchange of ideas-how people cooperate to discover, select, and learn strategies and coordinate their actions - rather than how markets are driven by the exchange of money"