Sourabh Singh
Bengaluru
Summary
Dynamic and results-driven Power BI professional with over 6 years of experience, including more than 4.5 years dedicated to designing and developing innovative business intelligence solutions. Expertise in transforming raw data into meaningful, actionable insights through advanced Power BI visualization tools. Proven track record of collaborating with cross-functional teams to gather requirements and deliver BI solutions that align with organizational objectives. Strong analytical skills complemented by a solid understanding of data modeling, DAX calculations, and ETL processes, with notable achievements in enhancing business productivity through the creation of intuitive dashboards that facilitate informed decision-making and drive growth.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Data Engineer Manangement & Governance Sr. Analyst
Accenture
09.2025 - Current
- Led a data analysis project to assess credit risk and optimize portfolio management for a banking institution.
- Key Responsibilities and Achievements:
- Data Collection and Preparation: Gathered historical loan data, including borrower information, credit scores, loan amounts, repayment terms, and default status. Ensured data integrity and completeness through rigorous data cleaning and validation processes using SQL and Python.
- Exploratory Data Analysis (EDA): Conducted comprehensive EDA to understand the distribution of credit scores, loan amounts, and repayment behaviors. Used statistical analysis and visualizations (e.g., histograms, box plots) to identify trends and outliers in the data.
- Credit Risk Modeling: Developed predictive models (e.g., logistic regression, random forest) to assess credit risk and predict the likelihood of default for new loan applicants. Incorporated factors such as income levels, employment history, and debt-to-income ratios to improve model accuracy.
- Portfolio Optimization: Analyzed the bank’s loan portfolio performance using metrics such as average default rates, profitability ratios, and risk-adjusted returns. Used optimization techniques to rebalance the portfolio based on risk tolerance and return objectives.
- Outcome: The project resulted in enhanced credit risk assessment capabilities, leading to a 15% reduction in default rates and a 10% increase in portfolio profitability. It demonstrated the impact of data-driven decision-making on risk management strategies and regulatory compliance within the banking sector.
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
- Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
- .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
- Conducted extensive troubleshooting to identify root causes of issues and implement effective resolutions in a timely manner.
- Led end-to-end implementation of multiple high-impact projects from requirements gathering through deployment and post-launch support stages.
Data Engineer Manangement and Governance Analyst
Accenture
12.2021 - 11.2025
- Led the design and implementation of a comprehensive claims performance dashboard using Power BI to provide actionable insights for senior management and operational teams at Insurance Company (Prudential)
- Key Responsibilities and Achievements:
- Data Collection and Integration: Extracted and integrated data from diverse sources including internal databases (SQL Server), Excel spreadsheets, and external APIs. Ensured data accuracy and completeness through SQL queries and data validation processes.
- Data Modeling and Transformation: Designed and developed data models in Power BI, applying best practices for data normalization and optimization. Transformed raw data into structured datasets suitable for analysis and visualization.
- Visualization and Dashboard Development: Created interactive and visually compelling dashboards in Power BI to monitor key performance indicators (KPIs) related to claims processing efficiency, turnaround times, and customer satisfaction metrics. Utilized drill-down capabilities and custom visuals to enhance user experience and facilitate deeper insights.
- Performance Analysis and Trend Identification: Conducted in-depth analysis of claims data using Power BI functionalities such as DAX calculations and advanced analytics. Identified trends, anomalies, and potential areas for process improvement through data-driven insights.
- Stakeholder Engagement and Collaboration: Collaborated closely with stakeholders including claims managers, underwriters, and IT teams to gather requirements, refine dashboard features, and ensure alignment with business objectives. Conducted regular meetings and presentations to showcase dashboard functionalities and gather feedback.
- Automation and Optimization: Implemented automation scripts and scheduled data refreshes within Power BI Service to ensure real-time availability of updated dashboards. Optimized dashboard performance and responsiveness based on user feedback and usage patterns.
- Outcome: The implementation of the claim’s performance dashboard facilitated informed decision-making and improved operational efficiency within Insurance Company . It enabled stakeholders to proactively identify bottlenecks in claims processing, resulting in a 25% reduction in average processing time and enhanced customer satisfaction scores.
- Accenture (Power BI Developer)
Data Engineer Manangement and Governance Associate
Accenture
11.2019 - 11.2021
- Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
- Collaborated with cross-functional teams for seamless integration of data sources into the company''s data ecosystem.
- Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.
- Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
- Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
- Maintaining and supporting existing Power BI reports and dashboards to ensure continuous availability and accuracy for business users.
- Managing Power BI Service workspaces, including access control, dataset management, and deployment across environments.
- Enhancing report performance by optimizing DAX measures, improving data models, and reducing refresh time.
- Improving report quality through better visuals, user-friendly layouts, and standardized design themes.
- Monitoring and maintaining data quality by validating data sources, fixing data inconsistencies, and ensuring reliable data flow.
- Configuring and managing On-Premises Data Gateway for secure and seamless data refresh from multiple data sources.
- Troubleshooting report refresh failures, gateway issues, and dataset performance bottlenecks.
- Collaborating with business stakeholders to modify and enhance existing reports based on evolving requirements.
- Implementing best practices for dataset optimization, relationships, and data modeling techniques.
- Scheduling and monitoring dataset refresh, alerts, and subscriptions in Power BI Service.
- Maintaining version control and proper documentation for reports, datasets, and workspace changes.
- Supporting migration of reports and datasets between workspaces and environments (Dev, UAT, Prod).
Education
Bachelor of Technology (B.Tech) - Electronics and Communication Engineering
Maulana Abul Kalam Azad University of Technology
Kolkata, West Bengal, India08-2019
Higher secondary - undefined
Kendriya Vidyalaya
01.2015
Skills
- Power BI
- DAX
- Data Analysis
- Data Modelling
- Azure Data Factory
- Data Mining
- Advance Excel
- Data Cleaning
- Python
- SQL
- ETL
- ETL development
- Data modeling
- SQL expertise
- Data warehousing
- Performance tuning
- Data migration
- Data securityq
- Data governance
- Real-time analytics
- Data pipeline control
- Data integration
- Data analysis
- Business intelligence
- Advanced analytics
- Data analytics
- Data repositories
- Analytical thinking
- Data visualization
- Data operations
- Statistical analysis
Accomplishments
- Pinnacle Award winner at North America Zone as a Rising star.
- “Accenture Celebrate Excellence” - ACE Award.
- Sprakling Award
Certification
- Advanced Power BI Data Analyst Associate Undertaken at Microsoft Learning & Certified Power BI Data Analyst (PL-300)
- Azure Data Engineer Associate Completed Microsoft Azure Data Engineer Associate Certification (DP-203)
- Azure Data Fundamentals Microsoft Certified Azure Data Fundamentals (DP-900)
- Azure Microsoft Security, Compliance and Identity Fundamentals Microsoft Certified in cloud Security & Compliance. (SC-900)
- Microsoft Azure Fundamentals Azure Cloud Fundamentals. (AZ-900)
LANGUAGE
English
Hindi
Timeline
Data Engineer Manangement & Governance Sr. Analyst
Accenture
09.2025 - Current
Data Engineer Manangement and Governance Analyst
Accenture
12.2021 - 11.2025
Data Engineer Manangement and Governance Associate
Accenture
11.2019 - 11.2021
Higher secondary - undefined
Kendriya Vidyalaya
Bachelor of Technology (B.Tech) - Electronics and Communication Engineering
Maulana Abul Kalam Azad University of Technology
Technologies & Tool Used:
- Languages: SQL, Python, M
- Data Visualization: Power BI
- Statistical Analysis: Excel
- Version Control: Git/GitHub
- Database Systems: MySQL, PostgreSQL, SQL
STRENGTHS
- Data Interpretation Developed intuitive dashboards for key business metrics, providing real-time status updates. Created insightful visualizations and dashboards that facilitate understanding of complex data trends and patterns.
- Technical Comprehension Aligned technical documents with non-technical individuals, paving the way for seamless project execution through clear reports, presentations, and collaborative discussions.
- Agile Development Adopted Agile methodologies ensuring robust, flexible and result-oriented development process.
- Data Visualization and Modelling Passionate about creating visually appealing dashboards to simplify complex data. Proficient in transforming conceptual models into logical data models that depict the data elements, their attributes, and the relationships between them.
Signature
Sourabh Singh