Manoj Kumar Vaddepally

• Established KPIs and objectives, ensuring alignment with overall business goals.
• Implemented training programmes for staff to improve technical skills set.
• Evaluated existing BI systems for areas of improvement or upgrade.
• Navigated complex datasets to uncover trends useful in decision making.
• Developed effective forecasting methods, resulting in more accurate business projections.
• Oversaw the implementation of new business intelligence software to enhance productivity.
• Coordinated with IT department to resolve technical issues swiftly.
• Demonstrated strong leadership whilst managing a diverse team of analysts.
• Enhanced decision-making process by providing insightful reports.
• Identified potential growth opportunities through thorough business analysis.
• Constructed predictive models which aided in risk mitigation strategies.
• Streamlined data management processes for improved efficiency.
• Streamlined report generation process, saving valuable time and resources.
• Created a unified view of enterprise data with the use of BI tools.
• Optimised data collection procedures, enhancing quality and accuracy of gathered information.
• Increased operational transparency by developing an interactive dashboard system.
• Analysed complex datasets, offering clear examples and insights when leveraging data to propose changes.

• Analysed large datasets using statistical methods, providing comprehensive market trend forecasts.
• Identified trends within data sets for valuable business insights.
• Regularly presented findings through clear graphical representations and reports to senior management team.
• Developed new business intelligence tools, enhancing strategic decision-making capabilities.
• Resolved critical business questions by translating them into appropriate analyses and actionable recommendations.
• Led training sessions on effective use of analytical techniques to non-technical team members.
• Created detailed dashboards using Tableau software to visualise key performance indicators.
• Streamlined data collection processes for improved efficiency.
• Incorporated Python scripting into workflow to streamline complex computations.
• Enhanced predictive modelling capabilities by implementing machine learning algorithms.
• Managed strict compliance with GDPR regulations during all stages of data handling.
• Leveraged SQL queries to extract necessary information from databases, accelerating project completion times.
• Implemented new data acquisition techniques to support ETL efficiency.

• Provided technical support during implementation stages of new analytics software across departments ensuring smooth transition and minimal disruption.
• Utilised Excel for efficient manipulation and analysis of large datasets resulting in quick turnaround times on tasks.
• Conducted detailed data analysis to identify trends and patterns in business performance.
• Enhanced data accuracy by conducting thorough data cleansing and validation processes.
• Implemented advanced statistical techniques leading to more accurate forecasting models.
• Streamlined reporting process, saving significant time on weekly report generation.
• Used analytical methods to interpret complex financial data for enhanced decision-making.

• Carried out day-to-day duties accurately and efficiently.
• Quickly learned and applied new skills to daily tasks, improving efficiency and productivity.
• Successfully delivered on tasks within tight deadlines.
• Demonstrated respect, friendliness and willingness to help wherever needed.
• Supported team by demonstrating respect and willingness to help.
• Used critical thinking to break down problems, evaluate solutions and make decisions.

Lead ETL development and delivery.

Manage and guide the team.

Coordinate with stakeholders.

Handle production support and issue resolution.

Ensure performance, quality, and documentation.

Design Universes - Create semantic layers connecting databases to reports

Build Reports - Develop WebI reports and dashboards for business users

Gather Requirements - Work with stakeholders to understand reporting needs

Extract claims, policy, and customer data from mainframes to data warehouse

Process actuarial data, rates, and risk factors for financial reporting

Integrate multi-source claims data (flat files, DB2, Oracle) with SCD Type 2 logic

Tune high-volume ETL jobs for nightly policy renewals and claims processing

Deliver NAIC, IFRS17 compliant data extracts with audit trail and data lineage

Extract telecom billing data for insurance client premium calculations.

Integrate BT call records, usage data with insurance policy systems.

Build ETL for insurance claims triggered by telecom service disruptions.

rocess GDPR/CCPA compliant telecom-insurance data extracts for BT.

Maintain slowly changing dimensions for insurance customer telecom profiles.