Devansh Chawla

Devansh Chawla has a strong background in data science and analytics. Devansh began their career as a Data Engineering and Analytics Intern at Alpine Net Corporation in 2019. During their internship, they utilized statistical software, database programming, and data visualization applications to maintain and update a large database, resulting in increased sales revenue. Devansh also implemented A/B testing to improve efficiency and user interaction experience, leading to a reduction in quarterly marketing costs.

In 2021, Devansh worked as a Data Science Intern at Arco International Incorporation. Here, they focused on automating data ingestion from multiple sources, moderated data processing time by half and increased data accuracy significantly. Devansh also applied machine learning principles to detect anomalies in the company's warehousing, logistics, and marketing data, resulting in an 18% decrease in warehousing costs.

In 2022, Devansh joined OnTel Products Corporation as a Junior Data Scientist. In this role, they developed predictive models to forecast sales, cost of goods, and profits for upcoming fiscal periods. Devansh'swork contributed to a 7% reduction in labor costs and generated over $200K in new customer sales. Additionally, Devansh streamlined data remodeling into programmable API, reducing IT quarterly expenses by 8%. Devansh also optimized customer outreach by creating decision trees through customer responses, resulting in a 20% increase in customer conversion.

Currently, in 2023, Devansh is working at Publicis Collective as a Data Scientist Analyst.

Devansh Chawla is currently pursuing a Bachelor of Science degree in Information Science / Data Science from the College of Information Studies (INFO) at the University of Maryland. The anticipated completion of this degree program is in the year 2023.