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Pranam P Acharya

@pranampacharya

Data science postgraduate student at MAHE who developed an SDG text-classification pipeline mapping 854 research articles to 17 UN goals.

India

Message

At RDL Technologies Pvt. Ltd., I worked across the data science project lifecycle, analyzing industrial data to identify drivers of scrap generation. I developed a three-month forecasting model and built a Power BI dashboard integrating Production, Quality Control, and Inventory data.

At KMC Hospital, MAHE, I support medical researchers with study design, sample size calculation, and statistical modelling. I also built an automated NLP pipeline that mapped 854 research articles to 17 UN Sustainable Development Goals, with a top model Macro F1 score of 0.849.

Experience

Work history, roles, and key accomplishments

Current

Academic Statistical Consulting

Current

KMC Hospital, MAHE

Jan 2025 - Present (1 year 10 months)

Support medical researchers with statistical project delivery in a clinical setting, including study design, sample size calculation, and multivariable logistic regression modelling. Applied GLM-based multivariable logistic regression to a cross-sectional study on dialysis modality predictors among CKD patients.

Statistical Consulting Study Design Sample Size Calculation Logistic Regression GLM Clinical Research

Data Analytics Intern

RDL Technologies Pvt. Ltd.

Jun 2024 - Present (2 years 5 months)

Owned multiple steps of a data science project lifecycle, including data mining, EDA, feature engineering, and visualization on large industrial datasets. Developed a 3-month time series forecasting model and built an interactive Power BI dashboard.

Data Mining EDA Feature Engineering Time series Forecasting Power BI ETL Data Cleaning Data Visualization