Cognilytics Interview Questions and Answers

Round: Resume Shortlist
Experience: An initial shortlist of around 35 students was done purely on the basis of CV. In the CV screening stage, they were probably looking for someone with a fair academic background, very strong quantitative aptitude and high inclination towards data analytics field.
Tips: Any project/course done in the field of data science (Machine Learning etc.) will be pretty much helpful in getting through the initial shortlist.

Round: Case Study Interview
Experience: The first round was a PI round with the Manager- Predictive Analytics of the firm. The interview went for around 90 minutes. It basically revolved around the Case Study, Puzzle and a lot of questions regarding the analytics related project that I wrote in my CV.
Tips: Be prepared for a lot of questions if you have written any project related to data analytics. They will ask you everything in and out of that. Also solve a lot of puzzles and discuss case studies with your friends.

Round: Case Study Interview
Experience: Out of the 35 initially shortlisted, only 10 were able to make it to this round. This round of interview was relatively a shorter one, around 30 minutes or so. It started with a small case study followed by a few general HR questions. Some of them were like why do you want to join an analytics firm despite being from an engineering background? Are you comfortable in handling stress situations? Plans for further studies? etc.
Tips: For HR questions, Be elaborate and detailed with your answer and try to couple it with appropriate examples from your personal life.

Skill Tips: Requirements: • Structured problem solver with good academic credentials • Good logical skills to help provide recommendations to business problem at hand • Excellent presentation, verbal and written communication skills • Ability to learn fast and adapt to a dynamic and fast paced work environment
Preferred but not mandatory skills:• Understanding of statistical methodologies such as Linear Regression, Time Series, Survival Models • Exposure to Machine Learning techniques • Basic knowledge of statistical and data analysis software such R/SPSS/SAS
College Name: IIT KHARAGPUR
Motivation: One of the top boutique analytics firm of the country with a very steep growth rate. Good pay.