Poorani M
@pooranim
I build data pipelines and predictive models that improve industrial production, reporting, and decision-making.
What I'm looking for
At Andritz Technologies, I build applied analytics for the Andritz Metris Platform, including an XGBoost regression pipeline for pulp-digester process data and automated Excel tag transformation and time-shift workflows. I also delivered an APAC project-status dashboard in Power BI and a D3.js prototype to standardise performance reporting.
Previously, I analysed fuel-cell material production data at IOCL to identify yield and cost drivers, and built ETL automation for waste-management process data at IIT Gandhinagar. I bring Chemical Engineering rigor to Python, SQL, statistical analysis, machine learning, and data visualisation.
Experience
Work history, roles, and key accomplishments
Engineered an XGBoost regression pipeline on pulp-digester process data, applying Pearson correlation feature selection and heatmap diagnostics. Automated tag transformation and time-shift logic across large multi-sheet Excel workbooks using openpyxl/xlsxwriter, and delivered an APAC project status dashboard in Power BI (DAX) and a D3.js prototype.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology (ISM) Dhanbad
Bachelor of Technology, Chemical Engineering
Pursued a Bachelor of Technology in Chemical Engineering at the Indian Institute of Technology (ISM) Dhanbad.
Availability
Location
Authorized to work in
Portfolio
poorani-portfolio.netlify.appJob categories
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