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Senior Analyst with 8+ years in data analysis and visualization
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Data Analyst with 8+ years of professional experience in banking operations and content review, along with hands-on experience in data analysis and visualization. Skilled in SQL, Excel, Python, Power BI, and Tableau for data cleaning, reporting, dashboard creation, and generating business insights. Strong ability to work with datasets, identify trends, and support decision-making through data-driven analysis.
NIIS Institute of Business Administration
MBA · Finance & HR
August 1, 2014 – June 30, 2016
Dhenkanal Autonomous College
Graduation · Economics Hons
August 1, 2013 – June 30, 2013
Wipro Ltd
Content Reviewer
October 1, 2020 – November 1, 2025
India
Axis Bank
Assistant Manager
March 1, 2017 – October 1, 2019
India
Karvy Stock Broking Limited
Financial Advisor
May 1, 2016 – February 1, 2017
India
Sales and order data
June 1, 2026 – June 1, 2026
Performed data cleaning and transformation using SQL to manage and analyze large datasets of sales transactions and order histories. Developed interactive dashboards in Power BI and Tableau to visualize KPIs such as monthly revenue growth, regional sales distribution, and order fulfillment performance. Used Excel Pivot Tables to identify bottlenecks in the order lifecycle and generated insights to improve delivery timelines and operational efficiency.
Medical Data
June 1, 2026 – June 1, 2026
Performed data cleaning and analysis on medical and patient datasets using SQL, working with records such as patient demographics, diseases, allergies, discharge details, and doctor specializations. Wrote complex SQL queries using joins, aggregations, filtering, and grouping techniques to analyze patient health records, hospital discharge trends, and doctor-wise treatment data. Generated meaningful insights from healthcare data, identifying patterns related to diseases, patient distribution across cities, allergy history, and doctor specialization management.
Loan approved
June 1, 2026 – June 1, 2026
Analyzed loan application data using SQL, Excel, and data visualization techniques to identify trends based on gender, marital status, education level, dependents, and employment type. Developed interactive Power BI/Tableau dashboards to visualize loan approval patterns, revealing higher application rates among self-employed applicants, graduates, and semi-urban residents. Identified key factors influencing loan approval outcomes, including positive credit history, preferred 30-year loan terms, and documentation/income challenges faced by self-employed applicants.
HR Employee Attrition
June 1, 2026 – June 1, 2026
Performed exploratory data analysis on HR employee attrition data using SQL and Excel to identify key trends related to age group, education background, job level, and employee turnover. Developed interactive dashboards in Power BI to visualize attrition patterns, highlighting higher resignation rates among employees aged 25–35, freshers, and Level-1 male employees with single marital status. Identified major factors contributing to employee attrition, including low salary, below 14% salary hikes, average performance ratings, and limited experience among employees from Life Sciences and Medical fields.
Data analytics
Unknown
June 1, 2026 – Present
Business analytics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across loan analysis, HR attrition, medical data, and sales data indicates adaptability and a broad interest in applying data analytics to different business problems. Their professional experience in content review, banking, and financial advisory roles suggests a background in structured environments, which could contribute positively to team dynamics and adherence to processes. The transition from operational roles to data analytics demonstrates a proactive learning attitude. However, the lack of collaborative project descriptions or explicit teamwork mentions makes it difficult to fully assess cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as data cleaning, data transformation, exploratory data analysis, and data interpretation, which are crucial for an analyst role. Their experience in content review and banking operations suggests an ability to handle large datasets, identify anomalies, and apply data-driven approaches to improve processes. The project descriptions indicate a structured approach to problem-solving and insight generation, which aligns with operational effectiveness.