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I applied via LinkedIn and was interviewed in Mar 2024. There was 1 interview round.
Using R as a calculator to compute values for a Data Scientist interview question.
Use R's console to input mathematical expressions and compute values.
Make sure to follow the order of operations (PEMDAS) when entering expressions.
Use functions like 'sqrt()' for square roots and 'exp()' for exponentiation.
Remember to assign variables using the '<-' operator before using them in calculations.
Compute statistics of a given time value in R
Use lubridate package to work with time data in R
Calculate summary statistics like mean, median, min, max, and standard deviation
Convert the time value to a time object before performing calculations
Using R to create two matrices and perform matrix multiplication.
Create two matrices using matrix() function in R.
Use %*% operator for matrix multiplication.
Ensure the dimensions of the matrices are compatible for multiplication.
The kNN classifier is run on the iris data to make predictions based on nearest neighbors.
kNN classifier is a type of supervised machine learning algorithm that can be used for classification tasks.
The output will be the predicted class labels for the iris data based on the nearest neighbors.
Interpreting the output involves understanding how the algorithm has classified the data points.
Experienced inside sales representative with a proven track record of exceeding sales targets and building strong client relationships.
Over 5 years of experience in inside sales
Consistently met or exceeded sales targets by 20% each quarter
Strong communication and negotiation skills
Built and maintained relationships with key clients such as ABC Company and XYZ Corporation
I have a proven track record of exceeding sales targets and building strong relationships with clients.
I have consistently exceeded sales targets in my previous roles by utilizing effective sales strategies and techniques.
I have a strong ability to build and maintain relationships with clients, leading to repeat business and referrals.
I am highly motivated, results-driven, and have a passion for sales which makes me a
I applied via LinkedIn and was interviewed in Sep 2023. There were 2 interview rounds.
Normal aptitude asked.
All the aptitude questions required for data analysyis
Coding questions including python sql
360DigiTMG interview questions for popular designations
I was interviewed in Jul 2017.
Yes, I am a fresher with no past working experience.
I am a recent graduate looking to gain experience in the field.
I have completed internships or projects during my studies.
I am eager to learn and grow in a professional environment.
I was responsible for conducting market research, creating social media content, and assisting with event planning.
Conducted market research to identify trends and opportunities
Created engaging social media content to increase brand awareness
Assisted in planning and executing events to promote company products/services
I am a recent graduate with a degree in Computer Science and a passion for coding and problem-solving.
Recent graduate with a degree in Computer Science
Passionate about coding and problem-solving
Strong communication and teamwork skills
Experience with programming languages such as Java, Python, and C++
I applied via Approached by Company and was interviewed in Jul 2017. There were 5 interview rounds.
I applied via Other and was interviewed in Jan 2018. There were 5 interview rounds.
I applied via Other and was interviewed in Jan 2018. There were 5 interview rounds.
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