In our weekly column A Day In The Life Of, we are trying to step into the shoes of awesome techies from various organisations and sectors who are working in emerging tech areas like big data, data analytics, artificial intelligence, machine learning and the internet of things, among others.
This week Analytics India Magazine got in touch with Zulki M, Data Analyst at CAMS.
Zulki, who is a morning person, makes sure that he wakes up at 6 am, does his morning namaz and then works out 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 service partner to the Mutual Fund industry serving 68% of the assets of the industry, gives me the privilege to analyse huge amount of data. I use SQL, R and PowerBI for data extraction, data cleaning and manipulation and visualisation respectively.”
His typical work involves gaining useful insights with the transactional data and creating dashboards based on the client’s requirement. He also builds machine-learning models to predict customer behaviour.
Zulki, who is a badminton enthusiast and a devout family man, says that planning his work and life balance is the key to managing his time optimally in this ever-changing industry.
When asked about the current projects he is working in, Zulki says, “We are currently working on Signature Recognition model in Python, which I feel is going to be a path-breaking achievement in my analytics career.” The best part, he says, is the fact that the new model will reduce the manual work of verifying offline signatures by a lot.
Zulki suggestion to struggling data scientists is simple: upskilling “Coming from a non-IT background, I prefer working in R language since it does not require core programming. As a data analyst, I feel learning how to get the right data should be of prime importance and SQL is the tool to get things done in this regard. I have also started working in python to diversify my knowledge; this gives me a cushion when I am working on machine learning models,” he explains. However, he admits that he still sometimes struggles with learning new analytics tools.
Working at his current organisation, Zulki feels that he is getting a lot of exposure to the industry. “Every day has some new learning for me. I am still fine-tuning my technical knowledge to explore and gain useful insights for the company,” he says, wrapping up.
