A self-taught data analyst who now creates machine learning models

In our weekly column A day in the life of, we try to put ourselves in the shoes of excellent technicians from various organizations and industries working in emerging technological areas such as big data, data analytics, artificial intelligence, machine learning and the Internet of Things. objects, among others.

This week Analytics India Magazine contacted Zulki M, Data Analyst at CAMS.

Learn about Intel's Edge Computing>>

Zulki, who is a morning person, makes sure he wakes up at 6 a.m., does his morning namaz and then trains for an hour and a half.

Explaining that working with a huge amount of data is a privilege, Zulki says, “Working with India’s largest mutual fund industry service partner serving 68% of industry assets gives me the privilege of analyzing a huge amount. of data. I use SQL, R, and PowerBI for data mining, cleansing, manipulation, and visualization, respectively.

His typical job is to acquire useful insights with transactional data and create dashboards based on customer requirements. It also builds machine learning models to predict customer behavior.

Zulki, who is passionate about badminton and a dedicated family man, says planning his work-life balance is key to optimally managing his time in this ever-changing industry.

Asked about the current projects he is working on, Zulki says, “We are currently working on the signature recognition model in Python, which I believe will be a revolutionary achievement in my career in analysis. The best part, he says, is the fact that the new model will drastically reduce the manual work involved in verifying signatures offline.

Zulki’s suggestion to struggling data scientists is simple: improve skills “Not having a background in computer science, I prefer to work in R language because it does not require basic programming. As a data analyst, I think learning how to get the right data should be of paramount importance and SQL is the tool to get things done in that regard. I also started to work in python to diversify my knowledge; it gives me a cushion when working on machine learning models, ”he explains. However, he admits that he still sometimes struggles to learn new analytical tools.

Working in his current organization, Zulki feels he has a lot of industry exposure. “Every day is a new learning for me. I am still refining my technical knowledge to explore and acquire useful information for the business, ”he concludes.

Sean N. Ayres