Data Analyst

SURESH GOPI VADLAMUDI

Sr. Data Analyst

Jamaica, New York

+1-757-***-**** ********************@*****.*** SUMMARY PROFESSIONAL:

6+ years of progressive experience in data analysis, business intelligence, SQL development, data visualization, and reporting.

Expertise in extracting actionable insights from complex datasets, developing interactive dashboards, and supporting strategic decision-making through data-driven solutions.

Proven ability to collaborate with cross-functional teams, stakeholders, and leadership to optimize business performance, ensure regulatory compliance, and drive operational efficiency.

Skilled in SQL, Python, Power BI, Tableau, Looker, and cloud analytics platforms. Strong background in ETL processes, data modeling, statistical analysis, and automation. TECHNICAL SKILLS:

Programming and Query Languages: SQL, Python, R, DAX, M Language, VBA Data Analysis Tools: Pandas, NumPy, SciPy, Excel, Google Sheets, Advanced Excel, PivotTables, VLOOKUP, INDEX MATCH Business Intelligence and Visualization: Power BI, Tableau, Looker, Google Data Studio, Qlik Sense, QlikView, Sisense, Hex, Matplotlib, Seaborn, Plotly

ETL and Data Integration: SSIS, Apache Airflow, Azure Data Factory, Talend, Alteryx, Informatica, dbt, Fivetran Cloud Data Platforms: AWS (S3, Athena, Glue, Redshift), Azure (Synapse Analytics, Blob Storage, Data Lake), Google Cloud Platform (Big Query, Data Prep, Dataflow)

Database Management Systems: SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, Snowflake, Big Query, Redshift, Teradata

Data Warehousing: Snowflake, Amazon Redshift, Google Big Query, Azure Synapse, Data Modeling, Star Schema, Snowflake Schema

Automation and Scripting: Python, Shell Scripting, Power Automate, VBA Macros, Jupyter Notebook, Google Collab Version Control and Collaboration: Git, GitHub, Bitbucket, Jira, Confluence, Slack, Microsoft Teams, SharePoint, Trello, Asana, Monday.com, Notion

Statistical and Machine Learning: Regression Analysis, Hypothesis Testing, A/B Testing, Time Series Forecasting, Classification, Clustering, Scikit-learn

PROFESSIONAL EXPERIENCE:

DOBBS EQUIPMENT Riverview, FL (HYBRID) June 2024 – Present Sr. Data Analyst

Partner with business stakeholders, operations managers, and executive leadership to conduct comprehensive data analysis, identify key business drivers, and deliver actionable insights supporting strategic decision-making across manufacturing operations, supply chain management, and production optimization

Design, develop, and maintain interactive dashboards and reports using Power BI, Looker, and Tableau to visualize critical KPIs, metrics, and trends, enabling real-time performance monitoring for production efficiency, quality control, cost analysis, equipment utilization, and operational effectiveness

Write advanced SQL queries to extract, transform, and analyze large datasets from multiple database systems, performing data aggregation, joins, subqueries, window functions, and complex calculations to support business intelligence requirements

Support audit readiness and regulatory compliance by ensuring data accuracy, data integrity, and data quality across enterprise systems through comprehensive validation checks, data profiling, reconciliation processes, and preparation of audit documentation for internal and external compliance reviews

Maintain and enhance SLA reporting frameworks and performance tracking systems for critical equipment maintenance, production targets, and service level agreements, ensuring stakeholders receive timely, accurate, and reliable performance metrics and trend analysis

Automate repetitive reporting workflows and manual data processes using Python scripts and Power Automate, reducing report generation time by 200+ hours monthly, improving data consistency, eliminating manual errors, and increasing operational efficiency

Collaborate with data engineers, IT teams, and business analysts to optimize data models, improve database performance, refine reporting logic, standardize KPIs and metrics across departments, and establish data governance frameworks for consistent performance tracking

Conduct in-depth root cause analysis and exploration data analysis on process bottlenecks, yield trends, quality issues, and operational inefficiencies, translating analytical findings into actionable business recommendations that drive cost reduction, process improvement, and continuous improvement initiatives

Perform data cleansing, data validation, and data quality assurance on large volumes of sensor data, transactional data, and operational data using advanced SQL and Python, establishing data reliability and supporting organizational data-driven culture

HUGHES NETWORK SYSTEM Germantown, MD Feb 2023 – Aug 2024 Data Analyst

Extracted, transformed, and loaded data from multiple enterprise systems including SAP, Salesforce, Oracle databases, and internal data warehouses to support enterprise reporting, financial analysis, operational analytics, and business intelligence initiatives across multiple departments

Designed, built, and deployed executive dashboards and operational reports in Power BI and Looker to track finance metrics, procurement analytics, supply chain KPIs, and operations performance, reducing manual reporting effort and enabling self-service business intelligence for end users

Automated data reconciliation processes, data validation workflows, and reporting pipelines using Python, Pandas, and Excel VBA macros, significantly improving data accuracy, reducing processing time, and supporting audit readiness for compliance reviews and regulatory reporting

Analyzed key performance indicators, business metrics, and operational data to identify trends, patterns, and anomalies, conducting root cause analysis to uncover cost-saving opportunities and efficiency improvements, partnering with department heads to implement data-driven solutions

Gathered business requirements from stakeholders, conducted requirements analysis, translated business needs into technical specifications, designed scalable reporting solutions, and delivered analytics capabilities aligned with organizational objectives and strategic priorities. COGNIZANT TECHNOLOGY SERVICES, BANGALORE, INDIA

CLIENT - AB ELECTROLUX Jan 2019 – July 2022

Lead Technical Analyst

Developed and maintained business intelligence dashboards, performance scorecards, and executive reports using Power BI, Tableau, Excel, and Google Sheets, providing operational visibility and analytics for project managers, business teams, and leadership

Designed and implemented ETL pipelines using SQL, Python, and integration tools to extract data from APIs, databases, and file systems, transform structured and semi-structured data, and load into centralized data warehouses and reporting platforms for enterprise analytics

Built automated data integration workflows by connecting REST APIs, web services, and database systems, enabling real-time data synchronization, continuous data flow, and timely business reporting supporting operational decision- making

Conducted ad-hoc data analysis, exploration analysis, and rapid analytical assessments to address urgent business questions, support time-sensitive decisions, and provide insights during project delivery cycles and strategic planning initiatives

Created technical documentation, standard operating procedures, and user training materials for business intelligence tools, analytics platforms, and reporting systems, facilitating user adoption and promoting data literacy across the organization

Performed time series analysis, forecasting models, and predictive analytics to support demand planning, resource allocation, inventory optimization, and supply chain management initiatives

Led User Acceptance Testing, quality assurance testing, and data validation activities for new reporting solutions, dashboards, and analytics applications, ensuring accuracy, functionality, and alignment with business requirements and compliance standards

EDUCATION:

Master of Science in Computer Science

University of Bridgeport – Bridgeport, CT Sep 2022 – May 2024 Bachelor of Technology in Electronics & Communication Engineering Jawaharlal Nehru Technological University – Hyderabad, India Jun 2015 – Apr 2019 PROJECTS AND ACHIEVEMENTS:

Reduced monthly reporting time by 200+ hours through automation of manual workflows using Python and Power Automate

Developed 25+ interactive dashboards supporting real-time operational monitoring and executive decision-making

Improved data accuracy by 40% through implementation of automated validation and quality assurance processes

Supported successful completion of 5+ regulatory audits through comprehensive data documentation and validation

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