Hrithik Sharma

Integrated ML model into REST API for seamless service consumption via API calls. Developed, trained, and fine-tuned machine learning models to classify row headers in financial tables extracted from company reports. Automated row header detection, reducing manual effort. Conducted research to explore machine and deep learning models suitable for integration into the organization's current projects, leveraging sources such as Hugging Face for valuable insights and pre-trained models.

Developed a Python package to extract labels from various types of labeled data obtained through the label studio, an open-source web-based data labeling tool. Utilized the extracted labeled data for training machine learning/deep learning models. Implemented a research paper's findings into practical application, involving the classification of column headers in HTML tables extracted from financial reports.

Utilized geospatial intelligence and data science to solve challenging problems, generating valuable insights from diverse datasets. Worked extensively with spatial files, CSV files, and Excel files, merging and analyzing data related to demographics, census information, and location-specific data to enrich ongoing projects.