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I am a Senior Associate in the field of finance, specializing in investment management.
I have expertise in analyzing financial data and making investment recommendations.
I work closely with clients to understand their financial goals and risk tolerance.
I monitor market trends and economic indicators to make informed investment decisions.
I have experience in portfolio management and asset allocation.
I may hold certifica...
My ambition is to become a respected leader in my field, making a positive impact through innovative solutions and mentorship.
To continuously learn and grow in my role
To lead and inspire a team towards success
To contribute to the advancement of the organization and industry
To mentor and guide junior colleagues in their professional development
I applied via Naukri.com and was interviewed before Sep 2021. There were 4 interview rounds.
System Design. Design backend of Amazon
I applied via Walk-in and was interviewed before Jan 2020. There was 1 interview round.
The 5S concepts are widely used in the warehouse sector, FMCG, and FNV operations to improve efficiency and organization.
Sort: Remove unnecessary items and organize the necessary ones.
Set in Order: Arrange items in a logical and efficient manner.
Shine: Clean and maintain the workplace regularly.
Standardize: Establish standardized processes and procedures.
Sustain: Continuously maintain and improve the 5S practices.
Sql test in Hackerrank
Questions were crayon box ,the bot and the game and happy neighbourhood for 90 mins
I applied via Referral and was interviewed before Sep 2023. There were 3 interview rounds.
Quant, LR, puzzles, cat based level 2 questions
Tuple is immutable and ordered, while list is mutable and ordered in Python.
Tuple is created using parentheses () while list is created using square brackets []
Tuple elements cannot be changed once assigned, while list elements can be modified
Tuple is faster than list for iteration and accessing elements
Example: tuple = (1, 2, 3) and list = [1, 2, 3]
I have a strong background in data analysis with experience in various industries.
Bachelor's degree in Statistics with a focus on data analysis
Proficient in SQL, Python, and data visualization tools like Tableau
Experience working with large datasets and conducting statistical analysis
Completed internships at XYZ Company and ABC Organization
Presented findings at industry conferences
I have learned to effectively analyze and interpret data to derive meaningful insights and make informed decisions.
Developed strong analytical skills through hands-on experience with various data analysis tools and techniques
Improved ability to identify trends, patterns, and outliers in data sets
Enhanced communication skills by presenting findings and recommendations to stakeholders
Learned to collaborate with team memb
I applied via Referral and was interviewed before Aug 2022. There were 2 interview rounds.
Setting up a Dark Store involves converting a retail store into a fulfillment center for online orders.
Select a suitable location for the Dark Store, preferably in a centralized area with good access to transportation.
Optimize the layout of the store for efficient picking, packing, and shipping of orders.
Implement inventory management systems to track stock levels accurately and prevent stockouts.
Train staff on order f...
Joins combine data from two or more tables based on a related column.
Joins are used to retrieve data from multiple tables based on a related column
Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
Example: SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id
The order of execution in a query determines the sequence in which operations are performed.
1. The order of execution in a query typically follows the sequence: FROM, WHERE, GROUP BY, HAVING, SELECT, ORDER BY.
2. The FROM clause specifies the tables involved in the query.
3. The WHERE clause filters the rows based on specified conditions.
4. The GROUP BY clause groups the rows that have the same values into summary rows.
5...
Group By is used to aggregate data based on a specific column, while Distinct is used to remove duplicate rows from a result set.
Group By is used with aggregate functions like COUNT, SUM, AVG, etc.
Distinct is used to retrieve unique values from a column or set of columns.
Group By can be used to group data based on multiple columns, while Distinct operates on individual columns only.
Mostly DSA expect DP, graph problems
I applied via Job Portal and was interviewed in May 2024. There was 1 interview round.
React based
problem solving round
based on 1 interview
Interview experience
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