Priyanka Dave

Implemented customer segmentation in the gas leak prediction project, significantly improving accuracy and efficiency. Developed synthetic leak injection logic and implemented a range-based testing framework for time-series classification models. Developed a text classification model leveraging NLP techniques and Databricks LLM to identify outage causes. Led Electric Analytics project by addressing transformer failure concerns through the development of a rule-based algorithm.

Led a grain industry project addressing a multi-output regression problem, achieving 90% accuracy. Collaborated with a logistics client to predict transportation costs by integrating external data for improved pattern identification.

Contributed to a hospitality project predicting tenant revenue and developing a recommendation system for staff training. Conducted an internal project to measure employee satisfaction using sentiment analysis and topic modeling. Led multiple software engineering projects concurrently in agriculture, healthcare, AR/VR, and pet care domains.

Developed and deployed a rule-based algorithm in the AgYield project, optimizing futures and options transactions using multi-threading and dynamic cronjobs.

Innovated critical modules such as Wallet and Bill Payment for the MobiFin FinTech product and engineered a comprehensive reporting module.