Data Analyst Power Bi

Nandu Maddi

San Jose, CA 980-***-**** **************@*****.***

PROFESSIONAL SUMMARY

• Data Analyst with 5+ years of experience supporting product analytics, fraud detection, and customer insights across finance and insurance domains.

• Skilled in SQL, SAS, Python, Tableau, and Teradata, with expertise in data visualization and statistical modeling, and a strong focus on experimentation (A/B testing), KPI tracking, and cross-functional collaboration.

• Adept at building dashboards and interactive reports using Python (pandas, Matplotlib), Tableau, Power BI, and Excel, enabling effective data-driven decision-making through clear presentation of KPIs and trends.

• Familiar with Agile methodologies and tools (Jira, Confluence, Slack) and experienced in the full analytics lifecycle, from data extraction and cleaning to analysis, visualization, and presentation of insights. TECHNICAL SKILLS

• Languages: SQL, Python, SAS

• Visualization: Tableau, Power BI, Excel

• Databases: Oracle, MySQL, SQL Server, Teradata, DB2

• Cloud: AWS (EC2, S3, Lambda, CloudWatch basics)

• Data Tasks: ETL Testing, Data Profiling, Data Validation, A/B Testing, Experimentation, Behavioral Analysis, KPI Framework, Exploratory Data Analysis, Data Quality Checks

• Other: Agile Methodology (Scrum), SDLC, Cron Scheduling, Version Control (Git) PROFESSIONAL EXPERIENCE

Wells Fargo, CA – Lead Data Analyst (Jul 2024 – Present)

• Created and maintained Python and SQL-based data extracts to support ad hoc business requests, feed dashboard updates, and enable detailed analytical deep dives into user behavior.

• Built automated, real-time reporting solutions in Python for fraud prevention domains (e.g. identity verification, phone risk, biometric authentication), reducing manual analysis and accelerating insight delivery.

• Developed geolocation-based risk reports to flag suspicious login attempts from OFAC-sanctioned regions, enhancing the effectiveness of fraud detection models and alerts.

• Designed and deployed interactive Tableau dashboards for monitoring user login KPIs, leveraging data from Dremio and enterprise data lakes to provide leadership with a comprehensive view of authentication performance.

• Analyzed user behavior in password reset flows by segmenting data (e.g. device binding status, card type) to identify friction points, providing recommendations that informed improvements to the user experience.

• Defined success metrics and evaluated A/B test results for new authentication features, presenting data-driven insights to product and risk teams to guide feature optimizations.

• Streamlined recurring fraud risk reporting by scheduling automated Python jobs (via cron) and migrating legacy SAS analyses to Python, improving report reliability and reducing turnaround time. Liberty Mutual, TX – Data Analytics Consultant (Aug 2022 – Jun 2024)

• Utilized SQL, SAS, and Teradata to analyze large-scale insurance datasets and define KPIs for monitoring customer complaints and satisfaction across business units, contributing to a centralized dashboard for customer experience improvement.

• Implemented Python-based data cleaning pipelines (pandas, regex) to transform semi-structured insurance data into structured formats, significantly improving data quality and analysis efficiency.

• Developed interactive dashboards to visualize customer journey metrics (conversion rates, pipeline velocity, regional performance) for multiple insurance product lines, enabling product managers to pinpoint opportunities to improve conversion and sales strategies.

• Automated monthly reporting processes by integrating SQL queries with Python scripting, reducing manual reporting effort and delivery time by approximately 30%.

• Performed rigorous data validation and reconciliation across regional datasets to ensure accuracy and regulatory compliance in reports, working closely with the compliance team to address any data discrepancies. Dell Systems, TX – Analytics Consultant (Sep 2021 – Aug 2022)

• Developed Python scripts to automate data processing tasks and integrate CRM sales data from multiple sources, reducing data preparation time and minimizing errors in the analysis pipeline.

• Built Tableau dashboards to monitor key sales performance metrics (quota attainment, pipeline conversion, regional sales figures), providing sales leadership with timely insights into team performance and market trends.

• Conducted deep root cause analysis on sales pipeline drop-offs and conversion issues, presenting findings and recommendations to marketing and sales teams that helped address bottlenecks and improve conversion rates.

• Queried and cleaned CRM and sales databases using SQL, ensuring the accuracy and consistency of data used for reporting and strategic analysis.

Wipro, India – Data Analyst (Sep 2018 – Aug 2021)

• Created and maintained Tableau dashboards and recurring reports to track customer churn and retention metrics, giving client stakeholders clear visibility into customer attrition trends.

• Extracted, transformed, and consolidated data from multiple sources (SQL Server, DB2, Teradata) to build a unified data repository for analysis, improving the efficiency of reporting and analysis tasks.

• Automated data cleansing and validation processes using SQL and Excel macros, reducing manual effort in monthly reporting and improving the reliability of insights delivered. EDUCATION

NYIT – master’s in computer science

JNTUH – Bachelor’s in Computer Science

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