Nov 2022 – Feb 2025 · 2 yrs 3 mos · Bengaluru, Karnataka, India · On-site

• Banking Credit Risk Analytics
• ❖ strategy implementations. Foster enhanced communication and collaboration
• between the risk management and marketing departments.
• ❖ Transform Excel-based reporting into advanced data visualization applications like
• Tableau and Power Bl, creating Insightful and storytelling KPI dashboards. Achieve a
• 30% reduction in man-hours, positively impacting overall business efficiency.
• ❖ Formulate strategies for delinquent customers by analysing cured vs improved vs
• uncured rates. Identify opportunities to bring delinquent customers to a cured state
• through multi-collinearity checks using both internal and external sources of
• information variables.
• ❖ Design a robust data architecture, resolving complex data integrity and create data
• models in Power BI. Establish relationships between dimension and fact tables,
• employing various charts to illustrate trends and performance across portfolios over
• time.
• Retail Marketing Analytics
• ❖ Key responsibilities involve in leveraging various tools like SAS, SQL, Python, and Excel
• to gather and manipulate data extracted from customer sells record. This data is then
• used to craft comprehensive acquisition and product analysis reports on a regular basis,
• ranging from weekly to monthly.
• ❖ Utilize SAS, SQL, Python, and Excel for analytical modelling in the retail industry.
• Creating reports and Interactive dashboard using Power BI or Tableau for our clients for
• them to understand customer experience, and creating targeted campaigns. This aims
• to recognize customer needs and offer the most relevant products and services,
• ultimately increasing ROI while ensuring customer satisfaction.

Jul 2021 – Oct 2022 · 1 yr 3 mos · Bhubaneswar, Odisha, India · On-site

• ❖ Oversee the collection, storage, and maintenance of data within the organization's information systems, ensuring
• accuracy, completeness, and security.
• ❖ Analyzed large datasets using SQL to identify trends, patterns, correlations, and anomalies. that provide insights into
• business performance and inform decision-making
• ❖ with stakeholders from various departments, including finance, operations, marketing, and IT, to understand their data
• needs and requirements, and provide tailored analytical solutions and support.
• ❖ Conduct in-depth analysis of organizational data to identify trends, patterns, and insights that can inform strategic
• decision-making and improve business processes.
• ❖ Managed and maintained comprehensive databases containing various banking and financial data, including customer
• information, transactions, loans, and accounts.
• ❖ Monitored and analyzed various risk metrics, including credit risk, market risk, and operational risk. Assisted in the
• development and implementation of risk management strategies and controls to safeguard the bank's assets and
• interests.
• ❖ Ensured compliance with banking regulations and guidelines, such as KYC (Know Your Customer), AML (Anti-Money
• Laundering). Generated regulatory reports and documentation as required by regulatory authorities.

Aug 2020 – Jul 2021 · 11 mos · Bhubaneswar, Odisha, India · On-site

• ❖ Description: The project was to analyze customer data for a retail company. The goal was to understand customer
• behavior and identify patterns and trends that could be used to improve the company’s marketing and sales strategies.
• ❖ Roles &Responsibilities: Data collection: I collected data from various sources, such as sales transactions, customer
• demographics and marketing campaigns. The data was stored in a data lake, which I accessed using SQL.
• ❖ Data cleaning: I cleaned the data by removing duplicates, handling missing values and correcting errors. I also
• performed feature engineering by creating new variables that were more informative for the analysis, such as recency,
• frequency and monetary value of customer purchases.
• ❖ Exploratory Data Analysis: I used a variety of visualization tools such as matplotlib, Power BI, to understand the
• distribution and relationships of the variables. I also used pandas for data analysis, such as calculating summary
• statistics and creating pivot tables.
• ❖ Communicating Results: I shared the results of the analysis with the company’s management and team by creating
• interact active, visualization using POWERBI.
• ❖ Techniques Used: Python, Pandas, Jupyter notebook, Matplotlib, Excel, Sql, Power BI Tool.

May 2019 – Aug 2020 · 1 yr 3 mos · Bhubaneswar, Odisha, India · On-site

• ❖ Answered customer inquiries regarding account balances, transaction history, services charges and interest rates.
• ❖ Educated customers on use of banking website and mobile apps.
• ❖ Assisted customers with setting up or closing accounts, completing loan applications and signing up for new services.
• ❖ Learned about customer's financial needs, established trust and optimized sales opportunities resulting in quality customer
• service.
• ❖ Answered telephone inquiries on checking and savings accounts, loans and lines of credit.
• ❖ Recognized needs and referred to appropriate representative or line of business for cross-sell or service opportunities.
• ❖ Identified sales opportunities and referred customers to branch partners in