Cloud/AI Engineer

• Oct 2021 - Present

Data Scientist

• Dec 2020 - Oct 2021

• Time Series Analysis - Developed code templates for time series analysis to speed up the initial stages of projects. Built functions for tasks like data preprocessing, time series decomposition, imputing missing values, statistical analysis, and fitting and tuning various models. - Multivariate Forecasting using LSTM Neural Networks and Vector Auto Regression - Univariate Forecasting using ARIMA and FB Prophet • Time Series Classification and Forecasting - Industrial Fluid Flow: Feature engineering on fluid flowrate data to classify various fluid types across pipelines. Used Random Forest algorithms and feature engineering techniques to build classification models and evaluated their performance. Also used basic statistics to manually classify the time series data to improve model interpretability and unsupervised model performance in case of unlabeled data. - Retail Sales: Analyzed supermarket transaction data to build visualizations tracking the sales volume, revenue, and profits. Used this data to identify troubled product categories and to prepare for future demand. • Image Classification using Deep Learning (VGG 16, ResNet 50) - Explored the application of pre-trained neural networks on custom projects using transfer learning.

Automobile Engineer

• Sep 2014 - Sep 2018

- Designed and engineered Tailgates for Hyundai i20, i10 and Xcent - Worked with the Korean tailgate design team for 3 months at the Hyundai R&D facility in Namyang South Korea on the Kia Sorento. - Designed and engineered Tailgates for Hyundai i20, i10 and Xcent - Worked with the Korean tailgate design team for 3 months at the Hyundai R&D facility in Namyang South Korea on the Kia Sorento.