Neha Kalla

Developing and prototyping of machine learning algorithms and classical statistical approaches for time series demand forecasting. Developing approaches to deal with typical time-series patterns including outliers, seasonal patterns, promotional effects and holiday effects. Hyperparameter tuning using grid search and randomized search. Prototyping of potential new features to improve prediction accuracyI. Implementation of an interactive dashboard for monitoring of KPIs and productive models

Developing and implementing machine learning algorithms for credit underwriting and customer 360-degree data bank. Collaborating with marketing professionals for writing market insights reports. Selecting features, optimizing classifiers, data mining, improving data collection techniques processing data and exploratory data analysis, data quality assurance, data cleaning and curation, data visualization, and data production