Data Visualization Specialist with Cloud & AI Expertise

Professional Summary

Swaroopa Ponduri

Data Visualization Specialist

+1-315-***-**** ***************@*****.*** linkedin Data Visualization Specialist with 3+ years of focused expertise in end-to-end cloud migration of BI platforms and full-stack, AI-integrated dashboard development. At BryceTech, led the complete module for space industry forecasting, migrating legacy data to Azure and deploying Power BI dashboards with Azure ML, accelerating client insights by 35%. At ThinkBridge, specialized in modernizing client analytics by migrating on- premise systems to cloud-native Tableau and Power BI solutions integrated with AWS AI services, improving data accessibility and decision velocity by 40%.

Core Skills & Technologies

• BI & Visualization: Power BI (Microsoft Certified: Power BI Data Analyst Associate), Tableau, QlikView, D3.js, Plotly, Matplotlib

• Programming & Databases: Python (Pandas, NumPy, Scikit-learn), SQL, R, ETL/ELT Design, PostgreSQL, SQL Server, MongoDB

• AI/ML Integration: Azure Machine Learning, AWS SageMaker, Predictive Analytics, NLP for Automated Insights, Computer Vision for Data Extraction

• Cloud & Big Data: Microsoft Azure (Synapse, Data Factory, Databricks), AWS (S3, Glue, Lambda), Snowflake, Apache Spark, Apache Airflow

• Development & Deployment: Git, Docker, CI/CD (Azure DevOps), REST APIs, Agile/Scrum. Certifications

• Data Visualization Certification

• Google Data Analytics Professional

Professional Experience

Bryce Tech Alexandria, VA

Data Visualization Specialist Jan 2024 – Present

• Led the end-to-end development and migration of a predictive analytics module for space industry forecasting, utilizing Azure Data Factory for ETL and Power BI for visualization, which automated 70% of manual reporting.

• Integrated Azure Machine Learning models to process multi-source interview transcripts and open datasets, generating AI-driven forecasts that reduced manual analysis time by 40% for strategic planning.

• Engineered interactive, real-time dashboards tracking market growth and investment trends, enabling clients to identify and capitalize on emerging opportunities 30% faster than legacy methods.

• Designed AI-powered risk assessment visualizations in Power BI by synthesizing data from engineering and executive teams, improving pattern recognition accuracy by 28% across R&D portfolios.

• Spearheaded the data migration of 5TB+ of legacy on-premise data to Azure Synapse, building scalable Spark ETL pipelines that reduced data latency by 45% for daily stakeholder reporting.

• Developed machine learning-enhanced treemaps and network graphs for technology scouting using AWS SageMaker, classifying emergent capabilities and optimizing client R&D investment strategies by 25%.

• Built automated dashboard pipelines for the NASA TechPort database using SQL and Power BI AI visuals, achieving 99% data accuracy and improving query response times by 35% for government stakeholders.

• Implemented user activity logging and anomaly detection systems using Python and Plotly, processing metadata to mitigate program risks and reduce incident response time by 32%.

• Orchestrated the full-module delivery for market survey dashboards using QlikView and R, aggregating proprietary datasets to prioritize tech investments and improve ROI forecasting accuracy by 27%. Environment: Power BI, Azure ML & Synapse, Python (PySpark), Apache Spark, SQL Server, D3.js, AWS S3, Azure DevOps

Think Bridge Pune, India

Data Visualization Engineer Aug 2020 – Nov 2021

• Developed AI-infused Power BI solutions with NLP querying via Azure ML, processing sales data from Zoho CRM APIs to automate anomaly detection and improve operational outcomes by 29%.

• Directed the end-to-end migration of legacy enterprise BI reports to cloud-native, interactive Tableau dashboards, transforming complex operational datasets and accelerating insight delivery by 38%.

• Led the full-stack development of a custom data design framework using D3.js and Python, reducing visualization development time by 42% for global business units through reusable components.

• Engineered real-time operational dashboards for digital transformation projects using AWS Glue and Tableau, processing interconnected datasets to boost reported client process scalability by 33%.

• Migrated and modernized a suite of legacy financial reports to Power BI Service, incorporating Python ML models for predictive forecasting which increased reported data quality by 25%.

• Built advanced interactive geospatial maps using QGIS and R for CRM analytics, enhancing spatial pattern recognition by 31% for retail and logistics industry clients.

• Implemented ETL orchestration with Apache Airflow for high-volume customer data flows, creating accessible dashboards that improved user adoption by 40% across client teams.

• Spearheaded the development of a module to operationalize analytics tech stacks, utilizing PostgreSQL and FastAPI to deliver real-time visuals that cut decision latency by 36%.

• Designed and deployed predictive analytics dashboards integrating Google Cloud AI for e-commerce demand forecasting, resulting in a reported 28% revenue uplift through proactive inventory insights. Environment: Tableau, Power BI, Python (Pandas, Flask), AWS (Lambda, Glue, S3), PostgreSQL, MongoDB, Azure ML

Education

Master of Computer & Information Science SUNY Polytechnic Institute Utica, NY Bachelor of Electronics and Communication Engineering NRI Institute of Technology India

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