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Senior Data Analysis with 1+ years in Data Analysis & Financial Operations
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented finance professional with experience in data analysis, financial operations, and client servicing. Skilled in interpreting financial data, identifying trends, and improving business processes. Proficient in SQL, Excel, and Power BI with a strong understanding of financial statements and capital market concepts. Adept at handling client queries, meeting SLA targets, and delivering data-driven insights.
Sri Sri University
MBA · Finance, Marketing
July 1, 2023 – April 1, 2025
Sushilavati Govt. Women's College, Sambalpur University
Bachelor's in Science · Zoology
July 1, 2019 – July 1, 2022
Ampcus Cyber
Data Analyst
March 1, 2026 – Present
Bengaluru, Karnataka, India
ICICI Bank
Deputy Manager II – Data Analyst
July 1, 2025 – March 1, 2026
Mumbai, Maharashtra, India
Shankara
Marketing Intern
January 1, 2025 – March 1, 2025
Bengaluru, Karnataka, India
Rourkela Steel Plant – SAIL
Project Finance Intern
June 1, 2024 – July 1, 2024
Raurkela, Odisha, India
Risk Analytics Dashboard (SQL & Power BI)
March 1, 2026 – June 30, 2026
Developed a Risk Analytics Dashboard to monitor and analyze financial transaction risks, focusing on fraud detection and anomaly identification Utilized SQL to extract, clean, and analyze large datasets, identifying high-value transactions, suspicious patterns, and fraud rates Built a customer risk scoring model based on transaction behavior and fraud indicators to classify high-risk customers Performed RCA to detect unusual transaction spikes and location-based fraud patterns Designed interactive dashboards in Power BI to visualize key risk metrics such as fraud rate, transaction trends, and risk distribution Created DAX measures to calculate KPIs including fraud percentage, total transaction value, and dynamic risk categories Enabled data-driven decision-making by providing actionable insights on high-risk customers and fraudulent activities Improved risk visibility and reporting efficiency through automated dashboards and real-time analytics
Customer Transaction Risk Analysis (SQL & Excel)
July 1, 2025 – March 1, 2026
Analyzed customer transaction data to identify high-risk and suspicious activities using SQL queries and Excel analysis Developed a risk segmentation model based on transaction volume, frequency, and irregular patterns Performed data validation and reconciliation to ensure accuracy of financial records Conducted trend analysis to detect anomalies such as sudden spikes in transaction amounts Generated MIS reports highlighting high-risk customers and shared insights with the operations team Supported KYC/AML compliance checks by identifying unusual behavior patterns Improved early detection of potential fraud cases and reduced manual effort in monitoring
SLA & Process Efficiency Dashboard (Power BI & Excel)
July 1, 2025 – March 1, 2026
Designed and developed an SLA monitoring dashboard to track TAT, productivity, and process performance metrics Collected and transformed operational data using Excel and integrated it into Power BI dashboards Created DAX measures to calculate KPIs such as SLA adherence %, average turnaround time, and backlog volume Identified process bottlenecks through data analysis and recommended improvements Performed root cause analysis (RCA) to reduce delays and enhance operational efficiency Automated reporting processes, reducing manual reporting time by 25-30% Enabled management to make data-driven decisions through real-time performance insights
NISM V A
Unknown
June 1, 2026 – Present
Analytics in Finance
Great Learning
June 1, 2026 – Present
Project Management
Great Learning
June 1, 2026 – Present
IRDA
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer transaction risk analysis to SLA monitoring and financial project evaluation, indicates adaptability and a broad skill set. Their experience in both banking and cyber security sectors, along with an MBA in Finance and Marketing, suggests a well-rounded profile. The leadership and extracurricular activities further demonstrate initiative and teamwork, aligning well with a collaborative and dynamic work environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through root cause analysis and process improvement initiatives. Their experience in client servicing, stakeholder communication, and ensuring SLA adherence indicates good operational fit and ability to collaborate effectively. The project descriptions highlight a results-oriented approach, focusing on improving efficiency and reducing manual effort.