Altenar’s Intelligence Platform will revolutionize Altenar’s internal operations, increasing levels of automation for routine tasks, all while boosting productivity and revenue for Altenar’s partnered operators.
Speaking with one of Altenar’s Data Analysts, they shed light on the aims, builds, and development of the AIP and how this heart of data will optimize the processes of big data to the benefit of Altenar and its operators.
Below you can discover the highlights of Altenar’s AIP project during an interview held with the aforementioned Data Analyst…
Let’s take a look…
How have your expertise helped to develop the AIP?
As the old proverb says: one head is good, but two are better. Scientists and researchers always work in teams as collaborative work helps to achieve meaningful results and have a clearer vision of a problem you work to resolve from different angles.
Since we're dealing with data science problems, one might have a general picture in their mind on how to deal with a certain problem, while other team members might help them decompose the problem into smaller parts and deal with each part step by step. We also help each other when doing code reviews, as it helps to optimize the code to run faster, especially when dealing with Big Data, as well as find minor bugs that may affect the entire execution process.
What are your most recent highlights / deployments / builds of the AIP?
I have recently completed working on a few tickets for reporting needs. Basically, I had to create SQL queries to produce necessary data for those reports. Some of those were quite complex due to the non-trivial way the data is presented, and it took me a while to get to it. But no mountain is too high. I am currently working on a Recommender Engine.
It is one of the most tricky machine learning problems you may ever meet, as there's no single right way for a certain methodology to be applied. It's all about the experiments and testing. This engine should help Altenar achieve better business results, namely to increase profitability, achieve higher customer retention values, and decrease customer churn rate.
Why do your current projects excite you from your professional point of view?
As I mostly dealt with financial and sales analysis back in the day, working on data science projects makes me more excited and involved. I spent more than 2 years studying Data Science and was interested like no other to have an opportunity to apply my knowledge, and I'm glad I finally have this chance with Altenar.
Machine Learning helps companies in various ways (from cost-cutting and increasing margins to precise future predictions), and what is more important is that you can measure how well it affects business, something you can't achieve by working on retrospective analysis.
How will the AIP change Altenar’s current operations for the better?
We are currently working on building the heart of AIP, a Data Science ecosystem that will allow us to monitor and maintain our projects online and react to business changes in a timely manner. The most promising initiative, I believe, is that AIP will create and successfully implement various meaningful ML algorithms to help businesses get benefits out of every activity we do at Altenar. These will form part of the aforementioned ecosystem. Besides, AIP helps Altenar to automate routine tasks, allowing employees to focus more on research projects.
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