Tanu Katiyar

I’m a results-driven Data Analyst with 3+ years of experience delivering end-to-end analytics—from data engineering and exploratory analysis to machine learning and executive storytelling. I convert large, multi-source datasets into measurable business value for global remote teams.

My work spans predictive modeling and deep learning using Python (Pandas, NumPy, Scikit-learn), SQL, and Power BI. I’ve deployed supervised and deep learning models to support classification, forecasting, and anomaly-detection use cases, using TensorFlow and Keras.

I build production-ready analytics through feature engineering, dimensionality reduction (PCA, LDA), and rigorous evaluation (cross-validation; Accuracy, Precision, Recall, F1-Score, ROC-AUC, RMSE, MAE). I’m especially focused on turning ambiguous problems into scalable, data-driven solutions with clear success metrics.

I also automate ETL pipelines, develop KPI dashboards, and strengthen data quality to improve decision speed and reporting reliability. Whether it’s interactive Power BI reporting or model deployments with FastAPI and Docker, I aim to make insights actionable and trustworthy.