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Parikshit Pooneeth

@parikshitpooneeth

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I build Power BI dashboards and automated data pipelines for master data governance.

Mauritius

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What I'm looking for

I'm looking to build data, BI, and AI solutions where I can own reporting end to end, automate reliable data pipelines, strengthen governance and quality, and grow my machine learning capabilities.

At AGI, I build and own Power BI reporting end to end, from data modelling and DAX to Power Automate and Python refresh pipelines. My dashboards cover master data audits, Veeva RIMS/ADMS regulatory reporting, GTIN and serialisation monitoring, finance and logistics data quality, and Project Mars LATAM artwork harmonisation; the Master Data Audit dashboard helped report a 58.1% reduction in tracked issues.

I've also developed QA automation with Selenium and Java at Allianz Services and supported procurement and master data processes at ABInBev. I'm completing an MSc in Artificial Intelligence with Machine Learning and apply my background in mathematics, governance, testing, and analytics to improve reporting and forecasting.

Experience

Work history, roles, and key accomplishments

Current

Master Data Associate

Current

AGI – Aspen Global Incorporated

Apr 2022 - Present (4 years 5 months)

Owns end-to-end Power BI dashboard delivery across business streams, including Master Data Audit, regulatory reporting, and logistics data quality. Manages master data governance and automation pipelines.

Power BI DAX Power Automate Python SAP Azure Data Lake Alteryx Excel Master Data Governance GTIN Veeva RIMS ADMS Tracelink Jira SharePoint

Education

Degrees, certifications, and relevant coursework

University of Technology, Mauritius

Master of Science, Artificial Intelligence

2023 -

Activities and societies: Key projects include road damage detection (CNN/RDD-2022), fake news detection with 92.91% accuracy (Stacking Ensemble), Kafka streaming pipeline, DQN vs A2C in LunarLander, and credit card clustering (K-Means, DBSCAN).

Pursuing an MSc in Artificial Intelligence with Machine Learning, covering modules such as Reinforcement Learning, Deep Learning, and Computer Vision.