About

Anant Vaibhav is a highly motivated and innovative computer science graduate student at the University of Texas at Dallas with four years of industry work experience as a data engineer and data analyst for IKEA's supply chain. He is skilled in various tools and technologies such as Toad/Oracle, Qlikview, Splunk, MATLAB (AI, Fuzzy, ANN toolbox), Jupyter, BMC Analytics, Data Analytics tool box- MS Excel, PUTTY, MS SQL Server, MySQL, and languages such as PL/SQL, Python (pandas, numpy, matplotlib, scipy), R, VBScript, UNIX-bash, Java, C++. Anant has almost four years of industry work experience with HCL Technologies and IKEA IT AB, Sweden. He started as a software engineer and played the role of a supply chain data engineer and later on, due to an innovation tool created by him, he got promoted to senior software engineer and played the role of a supply chain data analyst. He also had the opportunity to work at the client site in IKEA of Sweden, Almhult, Sweden, for almost 1.5 years. Anant has good experience dealing with large amounts of data, normalizing it, and understanding the trends within that data to provide some insights over the supply chain domain of IKEA and presenting them efficiently to clients. Anant has good research experience with almost 170 citations on Google Scholar for five research papers published in IEEE conferences. Additionally, he is a drummer, guitarist, and a vocalist. Anant is currently working as a software engineer at CBRE, where he is responsible for predictive analytics of risks and opportunities on the metrics of CBRE’s commercial real estate clients. He developed random forest and XGBoost models with ~75% F1 accuracy and performed sentiment analysis for validating the client satisfaction on the survey data. He also visualized time series analysis of the model in dashboards using PowerBI and Tableau and prepared stories that can be trusted by the business to take decisions. Anant has a relevant experience of 7.03 years and a tech stack that includes software engineering, research scientist, SQL, ML, data engineering, Jupyter, pandas, Python, XGBoost, AI, data scientist, random forest, MySQL, normalization, scikit, Java, integration, and data warehouse. He is hoping to build his career in the data-driven direction and make his life even more awesome.