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Riya Moorjani

@riyamoorjani

Computer Science undergraduate who developed demand forecasting models at Celebal Technologies and built a cardiac disease prediction system.

India

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What I'm looking for

I’m keen to apply my skills in Python, SQL, data analysis, and machine learning to real-world challenges while continuously expanding my technical expertise.

At Celebal Technologies, I developed and deployed Python time-series forecasting models to analyze demand patterns for 10k+ products. The models improved forecasting accuracy by 12%, and I built PowerBI dashboards for optimization and supply chain decision-making.

I built a multi-model cardiac disease prediction system using an XGBoost screening gate and a custom weighted late-fusion algorithm. It reached 92.1% accuracy and 94.8% sensitivity, and was deployed on HuggingFace.

I also built a commodity backtesting and risk management engine that tested strategies across five years of market data. Diversifying across four commodities reduced the maximum loss to -3.7%, compared with -29.5% for buy-and-hold.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Celebal Technologies

Mar 2026 - May 2026 (2 months)

Developed and deployed multi-series time-series forecasting models in Python to analyze demand patterns for 10k+ products, improving forecasting accuracy by 12%. Built PowerBI dashboards for optimization and supply chain decision-making.

Python Time series Forecasting Power BI Data Analysis Supply Chain Analytics