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I appeared for an interview before Mar 2024, where I was asked the following questions.
I applied via Referral and was interviewed before Mar 2023. There were 2 interview rounds.
Your company specializes in providing high-quality reference data solutions for various industries, enhancing data accuracy and efficiency.
Founded in [Year], the company has established itself as a leader in reference data management.
Offers a range of services including data validation, enrichment, and integration.
Serves clients across multiple sectors such as finance, healthcare, and logistics.
Utilizes advanced techno...
I applied via Campus Placement and was interviewed before Nov 2022. There were 4 interview rounds.
Basic finance and reasoning questions were asked
Bonds are debt securities with various types, each serving different investment needs and risk profiles.
Government Bonds: Issued by governments, e.g., U.S. Treasury bonds, considered low-risk.
Corporate Bonds: Issued by companies, e.g., Apple bonds, with higher yields but more risk.
Municipal Bonds: Issued by local governments, e.g., city bonds, often tax-exempt.
Zero-Coupon Bonds: Sold at a discount, e.g., U.S. savings b...
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posted on 13 Apr 2023
I applied via LinkedIn and was interviewed in Mar 2020. There were 3 interview rounds.
I bring a unique blend of analytical skills, relevant experience, and a passion for data-driven decision-making that sets me apart.
Proven track record in data analysis: In my previous role, I improved reporting efficiency by 30% through automation.
Strong problem-solving skills: I successfully identified key trends in customer data that led to a 15% increase in retention rates.
Excellent communication: I can translate co...
I applied via Naukri.com and was interviewed before Jun 2020. There were 4 interview rounds.
To segment a population based on attributes, use clustering algorithms like k-means or hierarchical clustering.
Identify relevant attributes such as age, income, education level, etc.
Normalize the data to ensure all attributes are on the same scale.
Choose a clustering algorithm based on the size of the dataset and the desired number of segments.
Evaluate the results using metrics like silhouette score or within-cluster s...
I applied via Walk-in and was interviewed before Jun 2020. There were 5 interview rounds.
I appeared for an interview before Jun 2016.
Discussing expected salary packages involves market research, personal experience, and industry standards.
Research industry standards: Use websites like Glassdoor or Payscale to find average salaries for similar roles.
Consider your experience: If you have relevant experience or skills, you may justify a higher salary.
Location matters: Salaries can vary significantly based on geographic location; for example, urban area...
I prefer to work in a location that offers a vibrant and diverse community, with access to cultural events and opportunities for personal growth.
I value a location that has a strong sense of community and offers a variety of cultural activities.
Access to educational and personal growth opportunities is important to me.
I am open to considering different locations that meet these criteria.
I appeared for an interview before Aug 2016.
I appeared for an interview before Jan 2016.
based on 3 interview experiences
Difficulty level
Duration
based on 12 reviews
Rating in categories
Data Researcher
104
salaries
| ₹3.8 L/yr - ₹6 L/yr |
Reference Data Analyst
57
salaries
| ₹4.1 L/yr - ₹9.5 L/yr |
Data Researcher II
29
salaries
| ₹4.5 L/yr - ₹5.8 L/yr |
Data Research Analyst
28
salaries
| ₹3.7 L/yr - ₹7 L/yr |
Data Researcher 3
25
salaries
| ₹4.2 L/yr - ₹8.8 L/yr |
Wells Fargo
Morningstar
Synchrony
Ocwen Financial Solutions