Divya Tripathi

work student

cerence•  April 2022 - April 2023•  Ulm, Germany

Accountable for supporting automotive AI software for Mercedes vehicles, focusing on speech recognition analysis. Created business tracking reports for management and cross-functional teams at all levels using Tableau, which helped in improving decision-making processes, resulting in a 15% reduction in errors. Employed MySQL to fetch raw data, conducted feature analysis on existing ML models. Conducted statistical A/B testing between existing model and new model which improved the product performance and user experience by 3%.

Master Thesis

Ulm University•  June 2022 - December 2022•  Ulm, Germany

Focused on sleep stage classification and solutions for patients with sleep-related problems, conducted EDA on patient demographics using Tableau. Employed machine learning techniques (XGBoost, Random Forest, Convolutional Neural Networks) to forecast sleep stage classification. Conducted comprehensive analysis (univariate, bivariate, multivariate) to select modeling features. Employed solution to drop 100 out of 300 features prior for modeling. Managed a reporting and data visualization portfolio for weekly patient report analyzes. Improved product efficiency by 4% through patient data analysis, providing accurate reports on cure statuses.

Data Analyst

Geisceke & Devrient•  September 2017 - February 2020•  Gurgaon, India

Analyzed product quality, focusing on currency material, to optimize operation standards by 5% across components, using Tableau. Conducted comparative time series analysis of machine operational quality between India and global markets. Implemented strategic engineering enhancements that improved the longevity of each machine and increased market sales by 7%. Presented detailed reports using Tableau, outlining engineering issues and their impact on customer services. Proposed design modifications that led to a proactive 10% decrease in failure rates, showcased dedication to enhancing product reliability.

Data Analyst

Colorjet•  May 2013 - August 2017•  Noida, India

Analyzed print quality on a wide-based format printer, focusing on optimizing image resolution for various media types. Conducted Python-based simulations to validate and troubleshoot modules related to pixel count, resolution, and image design accuracy, ensuring precise printing outcomes. Utilized MS Excel dashboards to conduct comprehensive data analysis on image data, identifying patterns in printing behavior influenced by component variations. Performed comparative analysis to optimize printing quality; conducted root cause analysis, UX/UI, and performance testing to ensure reliable machine performance. Facilitated a 3% increase in market sales of prototype models by enhancing print quality and efficiency through strategic analysis.

Universität Ulm

Information Technology, MS•  April 2020 - December 2022

Study Focus: Machine Learning, Deep Learning, Time Series Analysis, Neural Networks, Lab related to Deep learning course, Seminar in Applied Artificial Intelligence, Machine Learning, Regression and Time Series Analysis, Data Visualization