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<h1 class="text-center font-size-80"><b>UNNATI</b></h1>
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<h2 class="text-center"><b>Advanced Analytics | Data Science | Big Data Technologies</b></h2>
<hr/>
<p class="text-justify font-size-20">
In today's age, Terabytes of data are being generated by the
hour. Hidden in this data are the answers to your questions -
<em>"What do I do next?", "How do we grow?", "What do we focus
on?"</em>. We at <b>Unnati</b> are experts at helping you get the
answers you seek, from data that you own.
<br/>
<br/>
As Data Scientists, we take pride in owning responsibility
for helping you identify your data sources, pull in all the data, clean
up the data, extract meaningful features relevant to your domain,
analyze your data, implement machine learning models and help you
arrive at decisions. Finally, we expose all these steps via APIs and
visualizations; tying a neat little bow atop your first steps into
becoming Data Driven.
<br/>
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The various activites involved in Data Science are detailed
below.
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<li role="presentation"><a href="#messages" aria-controls="messages" role="tab" data-toggle="tab">Machine Learning</a></li>
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<h3 class="font-size-40 mar-top-10">Data Ingestion <img src="img/db.png" alt="" width="40px"></h3>
<hr/>
<p class="text-justify font-size-18">
Data ingestion is the process of obtaining, importing,
and processing data for later use or storage in a
database. This process often involves altering
individual files by editing their content and/or
formatting them to fit into a larger document. An
effective data ingestion methodology begins by
prioritizing the sources for optimum processing, and
finally validate the results. When numerous data
sources exist in diverse formats (the sources may
number in the hundreds and the formats in the dozens),
maintaining reasonable speed and efficiency can become
a major challenge
</p>
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<h3 class="font-size-40 mar-top-10">Data Wrangling <img src="img/wrangling.png" alt="" width="40px"></h3>
<hr/>
<p class="text-justify font-size-18">
Data is messy and it has to be manually processed or
converted from one "raw" form into another format that
allows for more convenient consumption of the data with
the help of semi-automated tools. Data munging as a
process typically follows a set of general steps which
begin with extracting the data in a raw form from the
data source, "munging" the raw data using algorithms
(e.g. sorting) or parsing the data into predefined data
structures, and finally depositing the resulting
content into a data sink for storage and future use.
Given the rapid growth of the internet such techniques
will become increasingly important in the organization
of the growing amounts of data available.
</p>
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<h3 class="font-size-40 mar-top-10">Machine Learning <img src="img/people.png" alt="" width="40px"></h3>
<hr/>
<p class="font-size-18 text-justify">
The process of machine learning is to search through
data to look for patterns. However, instead of
extracting data for human comprehension -- as is the
case in data mining applications -- machine learning
uses that data to detect patterns in data and adjust
program actions accordingly. Machine learning
algorithms are often categorized as being supervised or
unsupervized. Supervised algorithms can apply what has
been learned in the past to new data. Unsupervised
algorithms can draw inferences from datasets.
<br/>
<br/>
Machine learning is being used in a variety of
applications like fraud detection, recommendation
systems, credit risk analysis, computer vision, spam
filtering , machine translation
</p>
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<h3 class="font-size-40 mar-top-10">Visualizations <img src="img/viz.png" alt="" width="40px"></h3>
<hr/>
<p class="font-size-18 text-justify">
Most organizations recognize that being a successful,
data-driven company requires skilled developers and
analysts. Fewer grasp how to use data to tell a
meaningful story that resonates both intellectually and
emotionally with an audience. Marketers are responsible
for this story; as such, they're often the bridge
between the data and those who need to learn something
from it, or make decisions based on its analysis. As
marketers, we can tailor the story to the audience and
effectively use data visualization to complement our
narrative. We know that data is powerful. But with a
good story, it's unforgettable.
</p>
<blockquote>
<p>
If history were taught in the form of stories, it
would never be forgotten.
</p>
<footer>Rudyard Kipling</footer>
</blockquote>
<p class="font-size-18 text-justify">
There is so much data and so many data types that only
experienced analysts can separate the wheat from the
chaff. Finding the right information and the right way
to display it is like curating an art collection.
</p>
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<h1 class="text-center font-size-50">Tools we use</h1>
<hr/>
<p class="text-justify font-size-20">
What we bring with us are a specific set of skills that we've honed
over time. Although we believe that tools are merely a means to make
ends meet, our preferred stack is Python. It's where we do our best
work and feel comfortable in. Depending on the area of Data Science
we're working on, we draw from a plethora of tools -- Most of which
are Open Source.
</p>
</div>
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<h1 class="text-center font-size-50">Testimonials</h1>
<hr/>
</div>
</div>
<div class="row">
<div class="col-md-2 col-md-offset-2">
<a href="http://callhub.io" target="_blank"> <img class="img-responsive center-block " src="img/callhub.png" alt=""></a>
</div>
<div class="col-md-6 ">
<p>
<blockquote>
Unnati was a wonderful team to work with at CallHub. They were able to
quickly understand our data science needs and tell us what is possible
using our data. They seamlessly fit in to our engineering team and
delivered excellent results. In addition to helping us with our data
science problems, they helped us think through many of other
technology problems as well.
</blockquote>
<p class="text-right author">Augustus Franklin, Founder, Callhub</p>
</p>
</div>
</div>
<hr>
<div class="row">
<div class="col-md-2 col-md-offset-2">
<a href="http://slicepay.in" target="_blank"> <img class="img-responsive center-block " src="img/slicepay.png" alt=""></a>
</div>
<div class="col-md-6 ">
<p>
<blockquote>We at Slicepay are solving some of the toughest fin-tech
problems in the Indian credit space. Team Unnati's deep
expertise in data driven analytics combined with vast
industry experience in building scalable AI/ML systems
has helped us crack those problems to a huge extent.
</blockquote>
<p class="text-right author">Deepak Malhotra, Co-founder, Slicepay</p>
</p>
</div>
</div>
<hr>
<div class="row">
<div class="col-md-2 col-md-offset-2">
<a href="http://dataphilabs.com" target="_blank"><img class="img-responsive center-block " src="img/dataphi.png" alt=""></a>
</div>
<div class="col-md-6 ">
<p>
<blockquote>It was a good experience working with Unnati on a
new challenge in Psychometrics powered data engineering.
They were able to come up to speed in a new Data Sciences
domain and delivered a robust solution for us within months.
More power to Unnati!
</blockquote>
<p class="text-right author">Karthik Bhat, Co-founder, DataPhi Labs</p>
</p>
</div>
</div>
</div>
</br>
</br>
</br>
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<div class="col-md-8 col-md-offset-2 col-sm-10 col-sm-offset-1 col-xs-10 col-xs-offset-1">
<h1 class="text-center font-size-50">The Team</h1>
<hr/>
</div>
</div>
<div class="row" id="team-container">
<div class="col-md-10 col-md-offset-1">
<div class="row">
<div class="col-md-4 text-center">
<img class="img-responsive center-block img-circle" src="img/nischal.jpg" alt="">
<h3>Nischal HP</h3>
<h4><b>Co-Founder</b>, Lead Machine Learning Engineer</h4>
<ul class="list-inline">
<li><a href="http://nischalhp.svbtle.com/">Website</a></li>
<li><a href="http://in.linkedin.com/in/nischalhp">Linkedin</a></li>
<li><a href="http://github.com/nischalhp">GitHub</a></li>
<li><a href="http://twitter.com/nischalhp">Twitter</a></li>
</ul>
<!--
<p>
Nischal is a Data Engineer who enables the Data Scientists to work at peace. He makes sure that they get the data they need and in the way they need it. Previously he has built, from scratch, various systems for E-commerce like catalog management, recommendation engines and other systems that amass a lot of data, during his tenure at Redmart.
</p>
<p>
At SAP Labs, Nischal has built various data crawlers, intention mining systems and laid down initial work on an end to end Text Mining/Analysis Pipeline. The majority of his work, however, was centered around building a system that gamified technical indicators in a product for the Fintech domain.
</p>
<p>
He has conducted workshops in the field of Deep learning across the world. He is a strong believer of open source and loves to architect big, fast and reliable systems. In his free time, he enjoys psychedelic trance and travelling to remote places.
</p>
-->
</div>
<div class="col-md-4 text-center">
<img class="img-responsive center-block img-circle" src="img/raghotham.jpg" alt="">
<h3>Raghotham S</h3>
<h4><b>Co-Founder</b>, Lead Data Scientist</h4>
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Raghotham is a Data Scientist who can work across the complete stack. Previously, at Touchpoints Inc., He single handedly built a data analytics platform for a fitness wearable company. With Redmart, he worked on the CRM system and has built a sentinment analyzer for Redmart's Social Media. Prior to Redmart and Touchpoints, Raghotham worked at SAP Labs where he was a core part of what is currently SAP's framework for building web and mobile products. He was a part of multiple SAP wide events helping to spread the knowledge both internally and to customers.
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Having found deep love for data science, neural networks and the passion for teaching, Raghotham has conducted workshops across the world. Apart from getting his hands dirty with data, he loves travelling, Pink Floyd and masala dosas.
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<h3>Amit Kapoor</h3>
<h4><b>Advisor</b>, Visualization expert</h4>
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Amit Kapoor is interested in learning and teaching the craft of telling visual stories with data. He uses storytelling and data visualization as tools for improving communication, persuasion and leadership. He conducts workshops and trainings for corporates, non-profits, colleges, and individuals at narrativeVIZ Consulting. He also teaches storytelling with data as guest faculty in executive courses at IIM Bangalore and IIM Ahmedabad.
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His background is in strategy consulting in using data-driven stories to drive change across organizations and businesses. He has more than 12 years of management consulting experience, first with AT Kearney in India, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad.
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