About

Disha Wagle is an accomplished Software Developer with expertise in Java and Python. She has extensive experience in mobile application development, B2B integrations, web services, and databases. Disha has gained a wealth of domain knowledge in third-party business collaborations, healthcare, and team leadership. Currently, Disha is working as a Software Developer at Flipt. In her previous role at NTT Data, she was involved in the development and integration of a prescription drug savings application in Python. She also implemented a web scraping and data integration tool using Selenium and HTTP request. Disha developed a real-time streamlined process to integrate patient claims and insurance deductibles using SFTP and Amazon S3. She equipped the app with a REST API, collaborated with the Data Science team to generate predictive rewards provided to the users using Flask, and designed and developed a No SQL database to store all the data required/generated by the app (Couchbase, Truevault). Disha executed a geocoding tool for pharmacy locations, listing all the nearby pharmacies using Google’s Geocoding API, and integrated with Expo API to send out push notifications to user devices upon expiry of prescriptions within the app. Disha has also worked as a Programmer Analyst Intern at TCS, where she developed a Document Classifier and a Trending Topic Detection System using RSS Feed Documents. She parsed relevant fields from the XML-formatted RSS Feed Documents to build a multi-class Document Classifier classifying the documents into the category of data in it (Sports, Technology, Music, Movie). Disha also built a Trending Topic Detection System using the parsed data, which generated the top five trending topics according to the combined documents as well as the categorized documents. She used Supervised Machine Learning techniques like Support Vector Machines, Naïve Bayes to build the Document Classifier and Latent Dirichlet Allocation for the Trending Topic Detection System using Python and Scikit-Learn, obtaining a precision of 80% and LDA for the Trending Topic Detection System having an accuracy of 72%. Disha holds a Master of Science (M.S.) in Data Science from Indiana University and a Bachelor of Engineering (B.E.) in Computer Engineering from the University of Mumbai. She has a vast TechStack that includes Software Engineer, Python, Web, SQL, AWS, Integration, Mobile, Selenium, Java, Data Scientist, NoSQL, Flask, Scikit, and ML. With 5.70 years of relevant experience, D