Data Science being one of the most sought after jobs, it needs a lot of commitment; it is an everyday challenge for almost every data science professional to strike a perfect work-life balance. One needs to have an effective priority list and strategies. In order to understand more about the life of a data scientist, Analytics India Magazine caught up with Priya Francis and Anshul Bazaz, data scientists at CSS Corp.
Francis starts her day at 6:30 in the morning and spends her day at CSS Corp from 9.30 am to 6.30 pm. However, her office timings might get stretched depending on client meetings and deliverables. On the other hand, Bazaz, whose day begins at 8 am, said, “It starts with me thinking about my work and what it is that I want to accomplish for the day. I check my emails to see the progress of any pending work and reply to any deliverables or upcoming meetings.”
Bazaz usual reaches office by 10 am and kick-starts his work by having discussions with his teammates and colleagues, where he exchanges ideas and update each other about work as well as current events. “Quite often these conversations result in suggestions which help me work better. Although the out-times vary on a day to day basis depending on the work,” said Anshul.
The Work Life
Talking about the duo’s job role at CSS Corp, Francis explained, “Being a Data Scientist, my role includes analysing, interpreting and managing data, and solving complex business problems using expertise in a variety of data niche.”
Francis works on massive amounts of structured and unstructured data for discovering actionable insights to shape or meet specific business needs and goals. It involves data collection, data cleaning, exploratory data analysis for deriving patterns out of data, building, validating, implementing and maintaining suitable statistical models for business use cases.
Bazaz, on the other hand, works on understanding the client requirements and designing efficient analytical as well as visual solutions to the problems. “Another aspect of my work is interacting with various teams like UX, operations, and data engineering teams to assist in solution design. I am also into coding – data cleaning, exploratory data analysis, and statistical/machine learning models,” said Anshul. He is also involved in mentoring the new teammates who join the team.
Task At Hand
While we cruised through their lives as data scientists, the duo also told us about the projects they are working on at present.
Francis is currently working on developing and implementing a robust system for the case prioritisation of an enterprise networking company. “By flagging cases at an early stage, the system results in faster resolution of customer tickets, thereby improving customer satisfaction,” she explained. She is also working on analyzing customer sentiments and top call drivers from the interaction data.
Meanwhile, Bazaz is currently working on Adherence Impact Simulator, a research-oriented project centred around influenza vaccine uptake in various countries, and Key Phrase Extraction and Sentiment Analysis, which is about finding the leading cause of customer dissatisfaction/customer care delay by analyzing textual data consisting of conversations between customers and customer care.
