Data Analyst Power Bi

SUMMARY

Sai Varshith Reddy Manda Data Analyst

TX, USA +1-361-***-**** ***********************@*****.*** LinkedIn Results-driven Data Analyst with over 5 years of experience in transforming complex data into actionable insights that drive strategic decision-making and operational efficiency. Skilled in developing interactive dashboards, crafting SQL-based data pipelines, and building predictive models to support performance optimization, customer segmentation, and risk mitigation. Proficient in tools like Power BI, Tableau, Snowflake, and Python, with a track record of delivering value through end-to-end analytics solutions. Experienced in working across cross-functional teams in Agile environments, with strong communication skills and a focus on data governance, compliance, and stakeholder alignment. Committed to driving business impact through data-driven storytelling, automation, and continuous process improvement. TECHNICAL SKILLS

Data Visualization & Reporting: Power BI, Tableau, Google Data Studio, Excel (PivotTables, VBA, Power Query), SSRS Databases & Data Warehousing: SQL (T-SQL, MySQL), Snowflake, SQL Server, Oracle, Data Marts, Data Modeling Data Processing & ETL: Alteryx Designer, Power Query, Python (pandas, NumPy), Excel Automation, Data Pipelines Analytics & Modeling: Python (scikit-learn, XGBoost, statsmodels, seaborn, matplotlib), A/B Testing, Regression, Forecasting, Segmentation (RFM, Cohort), Classification Models, EDA, Time Series Cloud & Platforms: Snowflake, Azure Data Services (basic exposure), SharePoint, Collibra (Data Governance) Business & Functional Tools: JIRA, Confluence, BRD/SOP Documentation, Agile Scrum, Jira Service Management, UAT, KPI Development

Compliance & Domain Exposure: CCAR, SOX, FDIC, BCBS 239, Internal Audit, Financial Reporting, Risk & Controls, Healthcare Analytics, Marketing Analytics

Soft Skills: Analytical Thinking, Problem Solving, Stakeholder Communication, Cross-Functional Collaboration, Attention to Detail, Business Acumen, Time Management, Adaptability, Critical Thinking, Presentation Skills, Teamwork, Agile Mindset PROFESSIONAL EXPERIENCE

Regions Bank, AL, USA Feb 2024 – Current

Data Analyst

Led the design and rollout of interactive, role-based Power BI dashboards to track delinquency trends, customer credit utilization, and product-level profitability across consumer banking, enabling business heads to make real-time decisions.

Wrote complex SQL queries, joins, window functions, and CTEs on Snowflake to extract and manipulate large-scale transactional and credit risk data, reducing data preparation time for regulatory reporting from 3 days to 4 hours.

Collaborated with enterprise data architecture teams to build reusable semantic models, data pipelines, and data marts aligned with BCBS 239, GDPR, and SOX compliance for credit risk and provisioning analytics.

Developed, tested, and maintained predictive models using Python (pandas, scikit-learn, XGBoost, NumPy) for customer default probability scoring and fraud detection, improving risk mitigation accuracy by 28%.

Built automated reconciliation and variance analysis tools using Excel VBA, Power Query, and pivot tables to support monthly CCAR and FDIC compliance reporting.

Conducted exploratory data analysis (EDA) and presented insights to senior stakeholders via visual storytelling techniques to support business intelligence initiatives.

Partnered with business units, including Product, Marketing, and Compliance in Agile Scrum teams, contributing to feature design, user behavior analysis, and A/B testing for digital banking channels.

Maintained data dictionaries, performed data profiling, and supported data governance activities using Collibra, including lineage documentation and metadata management. KPMG, India Jun 2019 – Apr 2022

Data Analyst

Created client-facing Tableau dashboards for internal audit, tax analytics, and risk consulting projects, enabling visualization of control gaps, procurement anomalies, and financial ratios.

Designed and maintained reusable T-SQL stored procedures, functions, and views to perform automated data ingestion, transformation, and validation from ERP systems like SAP and Oracle.

Conducted data cleaning, outlier detection, and descriptive statistics on client financials using Python (matplotlib, NumPy, SciPy, pandas) to uncover irregular trends and hidden inefficiencies.

Automated audit evidence compilation using Advanced Excel, Power Pivot, and macros, reducing month-end reporting effort by 30% across multiple multinational clients.

Acted as the data SME in workshops for requirements gathering, data gap analysis, and KPI definitions, collaborating directly with CXOs and finance heads during pre-audit preparation.

Supported SOX compliance testing, internal controls monitoring, and materiality threshold analysis, using quantitative techniques to ensure reporting integrity.

Authored business requirements documents (BRDs), SOPs, and data documentation artifacts, improving cross- team alignment and enabling repeatable project execution.

Mentored junior data analysts and interns on data preparation techniques, version control, and dashboard development standards.

Cybage Software, India Sep 2018 – May 2019

Data Analyst

Built interactive Google Data Studio dashboards for a healthcare client to visualize web traffic patterns, booking rates, and service coverage across different geographies, resulting in a 22% boost in campaign performance tracking.

Automated data extraction and cleaning processes via Alteryx Designer, connecting to APIs, CSVs, and MySQL databases to ensure reliable and timely availability of marketing and operations data.

Executed SQL-based joins and data transformations on MySQL databases to build consolidated datasets for marketing performance monitoring, lead scoring, and funnel analytics.

Applied cohort analysis, RFM segmentation, and retention modeling in Python (pandas, seaborn, statsmodels) to identify key user behavior patterns and optimize product engagement strategies.

Built regression models and classification algorithms to determine campaign success probabilities and forecast subscription churn, driving a 15% uplift in ROI-driven campaign planning.

Created data requirement documents (DRDs), logic flow diagrams, and collaborated with development teams to set up event tracking plans for web/mobile applications.

Participated in sprint planning, user story writing, and QA review cycles as part of Agile delivery teams, ensuring that analytical use cases were prioritized and tested thoroughly.

Presented insights through actionable summary decks, contributing directly to strategic business decisions in partnership with marketing and CXO leadership.

EDUCATION

Auburn University Montgomery (AL, USA) Dec 2023

Master’s in computer science

CMR Institute of Technology (Telangana, India) Aug 2019 Bachelor’s in computer science & engineering

PROJECT

Predictive analysis of sports using Google API

Prediction System Development: Created an intuitive prediction system utilizing Google APIs to compile data on key match factors such as venue, pitch conditions, weather, and team roles (batting/fielding), enabling accurate match outcome forecasts.

Real-Time Forecasting: Integrated real-time updates into the system, ensuring the predictions remained relevant and dynamic, enhancing the accuracy of forecasts as conditions evolved.

Enhanced User Experience: Delivered a user-friendly interface that enriched the spectator experience by providing easily accessible predictions, aiding strategic decision-making in the sports industry.

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