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All too often companies have only the vaguest idea about what kind of data they’re holding; because such data is very often hidden deeply away in a variety of databases and fragmented across different departments. We identify this data and bring it to light, making it visible, cohesive, comparable and easy to understand so that it really does support YOU in making the right decisions. And if need be, we can also identify any lacking data and define a concept to fill in the gap.
Data Analysis & ML certificate course (2nd batch) successfully completed at Osmania University

Data Analysis & ML certificate course (2nd batch) successfully completed at Osmania University

Posted by on Jun 20, 2019 in JSMNews | No Comments

Aeon Knowledge (in partnership with CQM, Osmania University) is happy to announce the successful completion of their second batch of “Certificate course in Data Analysis and Machine Learning”. The first batch was completed in August 2018. The participants received their course completion and merit certificates on June 13, 2019, from Prof. C. Jaya Lakshmi (Director, […]

Strategy Formulation for businesses: looking beyond variable importance

Strategy Formulation for businesses: looking beyond variable importance

Posted by on Jun 10, 2019 in Case Studies, JSMNews | No Comments

For businesses, while it is important to have an accurate model, an interpretable model is equally important. Apart from wanting to know what our model’s prediction is, we also wonder why it is it high/low and which features are most important in determining the forecast. (Most machine learning algorithms produce variable importance as a part […]

Data Science courses completed at Osmania University

Data Science courses completed at Osmania University

Posted by on Jun 4, 2019 in JSMNews | No Comments

It was a great honour to be a part of the teaching faculty of the Department of Statistics, University College of Science, Osmania University. Sandhya(linkedin.com/in/sandhyatanneer) and I were given the opportunity to teach the industrial electives to postgraduate students of Statistics / Applied Statistics for both the semesters in the academic year 2018-2019. We thoroughly […]

Learning Data Science entails truly knowing how to apply it

Learning Data Science entails truly knowing how to apply it

Posted by on May 9, 2019 in Insights, Thoughts | No Comments

I am a practitioner, a teacher, an avid learner, and I am equally passionate about being all three. In fact, what helps me be one, is being the other two.I am a practitioner, a teacher, an avid learner, and I am equally passionate about being all three. In fact, what helps me be one, is […]

Why a Data Scientist should master both ‘concept’ and ‘context’

Why a Data Scientist should master both ‘concept’ and ‘context’

Albert Einstein once said “If you cannot explain it simply, you do not understand it well enough”. My belief in this has only strengthened ever since I (along with Sandhya and Bala Kartheek) taught the first ever industry elective course named “Data Mining using Machine Learning ” by Department of Statistics, Osmania University. Thanks to […]

A course on Data Science for professionals and students, in collaboration with Osmania University

A course on Data Science for professionals and students, in collaboration with Osmania University

Posted by on Jun 1, 2018 in JSMNews | No Comments

Today, we are in the midst of a data revolution. The amount of data is growing bigger day by day  due to social media,  increased number of devices connected to Internet and the reduction in the cost of storage devices. In order to handle  this enormous amount of  data, the industry needs  competent and efficient  […]

Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

Posted by on Mar 8, 2018 in Insights, Thoughts | No Comments

Not enough can be said about the contribution of Coursera and Andrew Ng to machine learning education. The very beginning of Coursera was with a machine learning MOOC in 2012, and this was, as far as I can tell, the first time machine learning education was made available freely and publicly. Such was the excitement […]

Learning begins at home: the internal training initiative at JSM

Learning begins at home: the internal training initiative at JSM

Posted by on Jan 5, 2018 in JSMNews | No Comments

Today, organisations face multiple challenges on all fronts as far as dealing with a dynamic environment is concerned. While technology creates powerful business opportunities, it also creates skills gaps. In a world of AI and ML, keeping up with the pace of technological advancements is a challenge and therefore a need for more specialised skill-sets […]

An ensemble segmentation approach to Healthcare problem

An ensemble segmentation approach to Healthcare problem

Posted by on Feb 18, 2016 in Case Studies | No Comments

Client: A pharma major Time: May 2015   Objective: The client initiated a new biologic therapy and wanted to understand the potential drivers and barriers associated with it. He wanted to have a clear idea about the impact of the existing therapies in the market. To find this out we addressed the issues listed below […]

A silent move towards adaptive and model-dependent data models

A silent move towards adaptive and model-dependent data models

Posted by on Nov 7, 2015 in Thoughts | No Comments

Over the last decade there has been a substantial increase of the volume and complexity of the data we are collecting and storing. Now we see an increasing demand for real time data processing – a continuous process of input / output of data. Accordingly, the approach to data analysis and data processing has changed […]