Prepare 6-7 situations for behavioral questions and be flexible if they questions is not asked in the way as you are prepared. Try to find the character they asked from your prepared examples. Cases are easy, if you make mistake and feel your answer is awkward, ask for help and modify your calc. I did make a mistake. It was a typo carried to next step's calc. And I found out and asked for help, and found out what's wrong with the formula I wrote.
Interview Questions were average on difficulty level if you put some thought to it. Screening rounds were more of question answers based where they gave you a problem and expected an answer. Python: Find the max no from the given set of elements in an array (without using max function) Find the minimum absolute difference between the set of elements of an array. Python Coding Questions that involved a hashmap. Know your basics well Print Max element of a given list Print median of a given list Print the first nonrecurring element in a list Print the most recurring element in a list HCF/Greatest common Factor of List LCM of list Sql: find the highest salary per department Select employee from departments where max salary of the department is 40k Select employee assigned to projects Select employee which have the max salary in a given department Select employee with second highest salary Table has two data entries every day for # of apples and oranges sold. write a query to get the difference between the apples and oranges sold on a given day Typical questions around Group by, Joins during screening round they used MYSQL so practice solutions with basic SQL as the version i was working on didn't support analytical functions or other advanced features. Face To Face Rounds (Fullstack): To begin I was asked about different metrics which could be reported given the dataset/information or scenario. Then interviewer picked up a metrics and asked to draw on whiteboard what kind of graph/chart will I use to display the information. Then going further asked about the table structures and data model which will be required to support the dashboard. Interviewer then provided the initial data set which is 1 case was a log file and in another some detail level tables, I was asked to write a programming code to read, parse and load data to tables. Then along the way once we have our code tables and dashboard finalized i was asked to write SQL's for different steps in the whole pipeline.
What skills do you process to be successful in this role?
Simple SQL questions
AC: Python test, dataflow efficiency test, group work
case study: credit card insurance profit per customer cost of mailing $0.5, response rate 1%, average balance per month $1000, insurance charges 1% of average balance monthly, customer claim rate 5% (once insured customer files a claim, the balance will be wiped and C1 lose $1000). Question: profit per customer, graph claim rate vs response rate, graph profit vs response rate and find the response rate for maximum profit (r=1%)
A time you avoided an obstacle, A time you had to learn something new, Third one was something along the lines of: A time you had to request extra help to complete a project/task
How would you explain customer LTV in the context of eHealth
If you have a 5*5*5 cubic, what is the outside surface area?
If a plant grows twice the rate of what it grew the previous day then when will it reach half of its maturity height
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