Puneeth Velivela
@puneethvelivela
BI developer turning complex data into interactive dashboards and actionable insights.
What I'm looking for
I’m a Business Intelligence (BI) Developer with 5+ years of experience designing and maintaining business reports and dashboards that drive operational insights. At Meta (contract via HCL America Inc.), I translate complex requirements into interactive, real-time visibility for enterprise teams across supply chain, compliance, and asset management.
In my current role, I built and sustained Power BI, Tableau, and Unidash dashboards for enterprise asset management, supply chain logistics, inventory planning, and operational performance. I also engineered compliance risk alert systems and automated escalation workflows to notify business owners of unstarted or SLA-breached audits, along with shipping carrier and campaign effectiveness dashboards used by leadership for decisions and optimization.
Earlier in my journey, I developed scalable AWS Glue ETL pipelines as a Data Analyst Intern and supported scientific stakeholders with improved processing and downstream data quality. I also worked as a Graduate Research Assistant on unsupervised ML models (VAE + GMM) for financial market regime detection and built SQL/Power BI reporting and automated data transformations at Infosys, strengthening my end-to-end approach across analytics, pipelines, and stakeholder-ready outputs.
Experience
Work history, roles, and key accomplishments
Designed and developed interactive Power BI, Tableau, and Unidash dashboards for enterprise asset management, supply chain logistics, inventory planning, and operational performance. Built compliance risk alert systems and ETL/ELT pipelines (Presto SQL, Hive) with automated data quality/SLA alerting to support operational and compliance teams.
Data Analyst Intern
Atlantic Flyway Council
Jan 2025 - May 2025 (4 months)
Built a scalable AWS Glue ETL pipeline standardizing 40+ years of bird colony data, reducing processing time by 75% and improving downstream data quality. Mapped population density of endangered bird species using geolocation data across 15 states and validated 10,000+ points while harmonizing taxonomy to AOU standards.
Developed financial market regime detection models using unsupervised ML with VAE and GMM, improving model sensitivity to market volatility by 25% via latent representation of S&P 500 signals. Guided asset allocation models to achieve a 33.7% improvement in Sharpe ratio using latent space representations to support data-driven investment strategy optimization.
Designed and maintained SQL-based dashboards tracking key business metrics and operational KPIs across finance and operations domains. Developed Power BI reports to reduce manual reporting by 50% and built automated MuleSoft Anypoint Studio data transformation flows to convert XML/JSON into structured formats, including a validation framework to prevent duplicate CAMT/XML transactions.
Education
Degrees, certifications, and relevant coursework
George Mason University
Master of Science, Data Analytics Engineering
2023 - 2025
Grade: GPA: 4.0
Completed an M.S. in Data Analytics Engineering at George Mason University (GPA: 4.0).
Koneru Lakshmaiah Educational Institution
Bachelor of Science, Mechanical Engineering
2016 - 2020
Grade: GPA: 3.78
Completed a B.S. in Mechanical Engineering at Koneru Lakshmaiah Educational Institution (GPA: 3.78).
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