Farzin K is a Senior Data Scientist at Tiger Analytics since January 2020, with a strong focus on applying deep learning techniques for forecasting and data analysis. Notable projects include forecasting wind power at a farm level using Conv-LSTM, which achieved an 8% reduction in penalty, and leading time series forecasting for a restaurant chain across 2000 cafes with a resulting overall WMAPE of 15%. Prior experience includes data analytics solutions for insurance using image analytics and semantic segmentation, as well as roles in application development and internships in engineering and pharmaceuticals. Farzin K holds a Dual Degree in Chemical Engineering from the Indian Institute of Technology, Madras, earned in 2019.
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