Deekshita Patibandla
@deekshitapatibandla
I build reliable data pipelines, dashboards, and validation workflows that turn complex data into actionable insights.
What I'm looking for
I've improved reporting, data validation, and workflow reliability for International Public Management Network, Arizona State University, and The We Reach Foundation. At IPMN, I validate source data with SQL, automate ETL validation using Python and PySpark, and orchestrate healthcare data workflows with AWS Glue, Step Functions, and Lambda.
At Arizona State University, I built a Power BI root-cause dashboard that reduced reporting errors by 15%, resolved data issues to decrease errors by 20%, and trained more than 150 users on improved workflows. I also standardized Excel validation processes, reduced input errors by 30%, and helped shorten reporting cycles by two weeks.
I've also built Python-based forecasting, risk-scoring, and compliance tools using LightGBM, Streamlit, LangChain, and the Claude API to support inventory planning, freight-risk decisions, and audit readiness.
Experience
Work history, roles, and key accomplishments
Research Assistant
International Public Management Network (IPMN)
Feb 2026 - Present (6 months)
Validated data integrity across over 60 source records using SQL queries to identify inconsistencies, improving accuracy and supporting clear communication of findings to the team. Automated data pipeline validation using Python and Pyspark, improving ETL accuracy and supporting SaaS implementation efforts with cross-functional teams.
Education
Degrees, certifications, and relevant coursework
Arizona State University
Bachelor of Science, International Trade
2022 - 2025
Grade: 3.45
Pursued a Bachelor of Science in International Trade with a CGPA of 3.45, graduating in December 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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