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Anvita Choudhary

@anvitachoudhary

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I build data-driven dashboards, forecasting systems, and reliable web applications.

India

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What I'm looking for

I'm looking to apply my technical and analytical skills to solve business problems and build reliable technology solutions.

I've built interactive sales dashboards, forecasting systems, and data-driven web applications using Python, SQL, Streamlit, Power BI, and JavaScript.

During my ML internship at HPCL Refinery, I worked on multivariate time-series anomaly detection for industrial sensor data, using preprocessing, sliding windows, dimensionality reduction, PCA-based statistical methods, and Transformer-based approaches. I analyzed anomalous behavior by timestamp and sensor tag to support downstream investigation.

My projects include a Power BI dashboard analyzing $1.20M in Blinkit sales and a Chocolate Sales Intelligence Platform with ARIMA forecasting, K-Means clustering, KPI tracking, and drill-down analytics.

I've also developed Walmart sales forecasting pipelines comparing PatchTST and LSTM models, along with TrackEasy, a responsive expense-tracking application built with HTML, CSS, JavaScript, Python, SQL, and SQLite.

Experience

Work history, roles, and key accomplishments

ML Intern

HPCL Refinery

May 2026 - Jul 2026 (2 months)

Worked on multivariate time-series anomaly detection for industrial sensor data, including data cleaning, preprocessing, sliding-window generation, and dimensionality reduction. Applied PCA-based statistical methods and explored Transformer-based approaches to identify abnormal patterns across high-dimensional sensor time series.

Python Time Series Analysis Anomaly Detection PCA data preprocessing Dimension Reduction Transformers