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Probability of a horse going out of a chessboard in 'n' steps.
The total number of possible moves for a horse is 8.
The probability of going out of the board depends on the position of the horse.
For example, if the horse is at a corner, the probability of going out of the board is higher.
The probability can be calculated using combinatorics and geometry.
I appeared for an interview before May 2016.
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Statistics and experience working with large datasets
Proficient in statistical software such as R and Python
Skilled in identifying trends and patterns to provide actionable insights
Strong communication skills to present findings to stakeholders
My CGPA decreased consistently after my 1st year due to various factors.
I faced challenges in adjusting to the new academic environment in my first year.
I had to balance my studies with extracurricular activities and part-time jobs.
I struggled with certain subjects or courses that were more challenging for me.
I may have experienced personal or health issues that affected my academic performance.
I learned from my mistak...
The company is a leading financial services firm specializing in investment analysis and research.
Specializes in investment analysis and research
Considered a leader in the financial services industry
Known for providing high-quality financial advice and recommendations
Some cricketers from the 70s include Sunil Gavaskar, Dennis Lillee, and Clive Lloyd.
Sunil Gavaskar was a legendary Indian batsman known for his technique and consistency.
Dennis Lillee was a fearsome Australian fast bowler who dominated the cricketing world in the 70s.
Clive Lloyd was a West Indian cricketer who captained the team to two consecutive World Cup victories in 1975 and 1979.
I appeared for an interview in Sep 2016.
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There was 1 interview round.
Retention analysis based on tables given, flowed by structure of RCA analysis
I applied via Naukri.com and was interviewed before May 2023. There were 2 interview rounds.
Query to extract unique values
Use the SELECT DISTINCT statement in SQL to retrieve unique values from a table
For example, SELECT DISTINCT column_name FROM table_name;
In Python, you can use the set() function to extract unique values from a list or array
I applied via Campus Placement and was interviewed in Oct 2023. There were 2 interview rounds.
Quants,logical reasoning and some technical mcq
Skill or degree was the topic given to me
Great test not so hard question
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.
I am proficient in using statistical software such as R and Python for data analysis.
I have experience in conducting market research and creating reports to help businesses make informed decisions.
I am a q...
I am passionate about analyzing data and providing valuable insights to drive business decisions.
Passionate about data analysis
Enjoy providing insights to drive decisions
Excited about contributing to business success
I have confidence in the subject of data analysis and statistics.
I have a strong understanding of statistical methods and data analysis techniques.
I am proficient in using software tools like Excel, R, and Python for data analysis.
I have experience in conducting hypothesis testing, regression analysis, and data visualization.
I have successfully completed projects where I analyzed large datasets and provided actionable
Random forest is an ensemble learning method used for classification and regression tasks.
Random forest is a collection of decision trees that are trained on random subsets of the data.
Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.
Random forest is known for its high accuracy and ability to handle large datasets with ...
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