Exploring Amogh Raghunaths Career Highlights – Amog Raghunath is a software developer and data/knowledge extraction expert, currently working with a major audio entertainment company.
It goes without saying that Big Data is critical to virtually every business operating today, especially those with thousands or millions of users. Collecting data and finding ways to extract value from all that data presents a huge opportunity to improve the customer experience and further expand the customer base.
Exploring Amogh Raghunaths Career Highlights
Raghunath has brought his incredible data mining skills to many different projects over the years, and for this article, we want to explore just a few of his career highlights. Raghunath himself will provide commentary along the way.
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Let’s start with the many projects that Raghunath has worked on during his tenure at the company, which he has been working on since early 2020.
Along with the marketing opportunities provided by the platform, there is also the integration of various customer accounts.
Let’s take a look at some of the ways Raghunath’s work has made things better for consumers and companies.
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First there is a tool called LiveRamp Connector by Amazon Publisher Services. Raghunath created the Connector tool, the main purpose of which is how to achieve targeted marketing in the relatively new landscape of privacy discourse and laws.
The debate over third-party cookies continues, and the new rules pose a challenge for marketers. Targeted marketing is still possible, but should be done with care and respect.
LiveRamp allows marketers to target consumers across paid media channels while respecting privacy. Not only that, it allows companies to send messages to customers through highly performing channels.
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“This enables efficiency by using marketing dollars to grow and retain the customer base. This is a huge win for Amazon Publisher Services as it integrates all the complex system capabilities and ad suppression campaigns.” is to reduce dollar cost and target consumers in real time.
It’s a great solution for marketers who want to target consumers while respecting their privacy.
The result is an ideal marketing win: companies successfully market their products or services to consumers who want or need those products or services. Both parties gain value in the process.
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Less money is wasted on failed marketing efforts and consumers feel less frustrated with marketing efforts through different channels.
Raghunath’s third and final big project we want to talk about here is the Marketing Data Cloud, but before we get to that, we need to set up why it’s needed.
One of the challenges of data-driven marketing and customer experience work in the modern landscape is that, at times, there is too much customer data to sift through.
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Especially when it comes to making real-time, analytical decisions, companies are overwhelmed not only by the volume of data, but also by customer privacy concerns.
“There is a need to combine large amounts of data to accelerate innovations, predict accurate opportunities and market/target them. Due to the sheer volume of data, including sensitive personal data, security issues in healthcare are similar to a large sequence of
So, companies need to leverage customer data quickly, yet securely, and that’s where Raghunath’s contribution to Marketing Cloud comes in.
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“Marketing Cloud allows clients to understand how their marketing is performing across different media channels. This is important for many companies because it informs how they want to market to their customers.
“At the same time, this tool maintains user trust and adheres to privacy policies. Companies can engage in effective marketing without going overboard.
This is another example of a data-driven solution that leads to a marketing win. Data privacy laws and guidelines continue to evolve and companies must adapt to these changes quickly.
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Marketing Cloud provides a successful model for performing advanced marketing analytics without compromising customer rights, and we expect other companies and platforms to follow suit with their own marketing tools.
Building on Raghunath’s development work with academic institutions, let’s look at software that places refugees in real time.
When refugees are processed inefficiently, the resulting backlog exacerbates the humanitarian crises that forced them to flee their homes. These same inefficiencies affect refugee recruitment, leaving refugees without the social, economic and cultural support they need to thrive in their new homes and contribute optimally to their new communities. Working with Andrew Trapp, a professor at Worcester Polytechnic Institute in Massachusetts, Raghunath helped develop an automation tool that solves this exact problem.
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Using machine learning and integer optimization, this software detects the best places for incoming refugees and, in fact, has been used by the official US Resettlement Agency.
Raghunath tells us that the development process is challenging, and managing data and ensuring that the software can be successfully deployed in real-world scenarios are critical aspects during development.
I would like to thank Mr. Raghunath for giving us an exciting opportunity to take a closer look at some of the high points of his career so far.
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In turn, this has given us a window into cutting-edge data mining and analysis work as well as innovative software development for large organizations and companies.
If there’s one clear lesson here, it’s that every obstacle has a solution. In some cases, there may be multiple solutions and skilled professionals are needed to find and implement these solutions.
Industries evolve, parameters change, but with the right resources and support, developers can help companies overcome any challenge.
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Igor is an SEO expert, designer and freelance writer. He believes that knowledge can change the world and can be used to inspire and empower young people to create the life of their dreams. When he’s not writing in his favorite coffee shop, Igor spends most of his time reading, traveling, creating homemade music, and capturing light with his camera. He likes good coffee, Indian food and video games. In this article, we are going to interview Mr. Amog Raghunath who works as SDE-II at Amazon.
My name is Amu Raghunath, I was born in Bangalore, India. I have traveled in different parts of India for almost 25 years of my life. It wasn’t until 2015 when I decided to step out of my comfort zone to explore the opportunities around me by earning a Master’s degree in Data Science from WPI. I was fond of computers since childhood and learned programming at a young age. I have always been curious about how things are created and brought to life in the computer world.
Before I dive deeper into my journey, I want to tell you a little more about my background. I have a bachelor’s degree in computer science from India and since my undergraduate days when I took a course in data mining, the role of data and its applications in making big company decisions has always fascinated me.
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So, I decided to do my dissertation in data mining under the guidance of my professors at the undergraduate and graduate levels. Thus began my journey into the world of data.
I currently work with Audible, an Amazon company, in the capacity of software engineer building data products with Newark NJ. My day-to-day responsibilities include designing/blueprinting key data platforms to meet various data science/business intelligence and marketing needs. I use several Amazon Web Services components to do this. To name a few I use lambda for service calls, s3 for data lakes, containers for batch jobs and ETL for understanding data information.
Usually the data is of TB to PB scale type. So, scaling the application we are building becomes key here. Therefore, we always start with functional and non-functional requirements before considering extending the application to different sources/teams. Generally, the use case of such systems helps solve a marketing problem. For example, if a company needs to run a marketing campaign to target targets, it needs data in near real time, so the systems I design can capture data during such delays. I help us.
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Prior to Audible, I was working at a relatively small startup company in Boston, MA, where I was hired in a similar capacity.
Certainly, during my master’s degree at WPI I had the opportunity to work with Professor Andrew Trapp on a research project I was involved with.
I started working in the refugee space at LIRS, a refugee resettlement agency, and brought in collaborators like my colleagues from WPI, and we looked at the problem of how do you house refugees? give? In practice, he is the United Nations High Commissioner for Refugees and the U.S. Refugees granted by the State Department must be kept. So, these are already approved refugees. Where do they go across the country? Right now, it’s a manual process, it’s a whiteboard and people sit in a room every week.
Category: Aws Big Data
Therefore, to automate the process, we used a linear 0-1 optimization problem that considers different characteristics of the refugee. For example, his nationality, race,
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