Maximl Labs Data Scientist Interview Questions and Answers

50 questions need to do in 15 mins.

Q1. Hr round easy asked to solve easy puzzle and guestimate.
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Q1. Onsite interview where they give you task that is irrelevant.
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Q1. General Question Tell me about yourself
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Q2. How soon you can join
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Read about MPIN that is used to access mobile banking apps

Many a times users end up setting an MPIN that is guessable because

1. It is a commonly used MPIN eg 1122

2. It is a combination of easily known demographics of the user. Eg: if the birthdate is 02- Jan-1998 then MPIN could be 0201 or 9802 or 0201 etc. Demographics such as these could be used alone or in a combination

a. DOB

b. Wedding Anniversary

c. Spouse birthday

Solutions Required

1. Part A: Assume that the MPIN is 4-digits. Write a program that suggests if the MPIN is a commonly used one. Ignore the demographics for this part

2. Part B: Enhance the above to take user's demographics as input and provides an output

a. Strength: WEAK or STRONG

3. Part C: Enhance the above to provide the following outputs

a. Strength: WEAK or STRONG

b. If weak then the reason why was it considered weak: It should give from the following the reasons as an array. Array should be empty if Strength is STRONG and non-empty if WEAK

i. COMMONLY_USED

ii. DEMOGRAPHIC_DOB_SELF

iii. DEMOGRAPHIC_DOB_SPOUSE

iv. DEMOGRAPHIC_ANNIVERSARY

4. Part E: Above with a 6-digit PIN

5. Write code that tests the above written code using a set of inputs. Write at least 20 test case in PYTHON

SQL, excel, tableau , looker studio

Q1. What is your notice period.
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Q1. Difference between logistic regression and svm
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Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
• Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.

• SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.

• Logistic regression is more interpretable and easier to implement...read more
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Q2. Data augmentation related questions
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Q1. Introduce yourself
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I am a dedicated and experienced professional with a background in marketing and a passion for driving results.
• Experienced in marketing strategies and campaigns

• Strong track record of achieving goals and targets

• Passionate about driving results and exceeding expectations
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Q2. Strengths and weaknesses
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General mathematics, english and coding

Q1. Some basic questions were asked they were just looking for who will be loyal to the company even after working for 2-3 years.
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Q1. Introduce yourself.
Ans. 
I am a data science enthusiast with a strong background in statistics and machine learning.
• Completed a Bachelor's degree in Statistics

• Proficient in programming languages like Python and R

• Experience with data visualization tools like Tableau

• Completed projects involving predictive modeling and data analysis
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Q2. Why you want to join onebanc ?
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I want to join onebanc because of its innovative approach to financial services and the opportunity to work with cutting-edge technology.
• Onebanc's focus on leveraging data science for improving financial services aligns with my career goals.

• I am excited about the chance to work with a talented team of data scientists and engineers at onebanc.

• The company's commitment to innovation and continuous learning is something th
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Q3. Explain your project.
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Developed a machine learning model to predict customer churn for a telecom company.
• Used historical customer data to train the model

• Features included customer demographics, usage patterns, and customer service interactions

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q4. What are your hobbies ?
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My hobbies include hiking, reading, and playing the guitar.
• Hiking: I enjoy exploring nature trails and challenging myself physically.

• Reading: I love diving into different genres of books, from fiction to non-fiction.

• Playing the guitar: I find relaxation and creativity in strumming chords and learning new songs.
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Q5. What are the average no. Of tea people drink in a day in delhi ?
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The average number of tea people drink in a day in Delhi varies depending on individual preferences and habits.
• The average number of tea consumed can range from 1-5 cups per day.

• Factors such as age, gender, occupation, and cultural background can influence tea consumption.

• Some people may drink more tea in the morning for a caffeine boost, while others may prefer tea throughout the day for relaxation.

• Tea consumption may...read more
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