About

Jashjeet Singh Madan is a highly skilled Software Developer with expertise in Machine Learning, Python, and Databases. He is passionate about writing and debugging codes and has a solid programming and mathematical background. Jashjeet specializes in designing optimal heuristics using Artificial Intelligence (AI), working with Natural Language Processing techniques, and building Machine Learning Models to be used in the field of Bioinformatics, Computer Vision, Social Media, and Robotics. Jashjeet has spent his time at Indiana University developing and honing his coding skills, analytical thinking, research acumen, and leadership skills. He has worked as a Graduate Researcher at Cyberinfrastructure for Network Science Center, where he learned advanced data modeling and transformation techniques to derive insights from molecular and cellular data. He created the first proprietary object detection model using Mask R-CNN, with a detection accuracy of 95%. During his internship as a Machine Learning Engineer at Nowigence in Albany, New York, he built Named Entity Recognition Models and Multilabel Classifiers using Spacy and state-of-the-art BERT models by Google, which boasted 97% accuracy. Jashjeet's most recent work as a graduate researcher is an attempt to foster care for animals and environmental conservation efforts using social media to support citizen science for understanding migratory patterns. He has also worked for over 2 years at Tata Consultancy Services, where he designed and modified databases for advanced applications such as Sales, Legal, and Finance, following the International Finance Revenue Standards (IFRS). He has excellent command over data reporting and analysis tools, including Python, SQL, Informatica, Tableau, SAP BO, and SAP HANA. Jashjeet holds a Master of Science degree in Data Science from Indiana University and a Bachelor of Engineering degree in Computer Science from RGPV. He is a Deep Learning hobbyist and dedicates a considerable amount of time learning essential Deep Learning methodologies. Jashjeet is looking to expand his knowledge in the Data Science domain, especially in the field of Deep Learning and Data Analysis. He is looking towards the opportunity to be involved with new technologies and to work with large data sets to help streamline work.