Aug 2023 – Mar 2024 · 7 mos · Bengaluru, Karnataka, India · Hybrid

Feb 2021 – Feb 2022 · 1 yr · Karlsruhe, Baden-Württemberg, Germany · Hybrid

• Detection of anomalies in time series data using various deep learning and statistical methods
• Contribution to research and development of software development and platform performance metrics.
• Development of interactive, robust and scalable PowerBI dashboard to display these metrics.
• Worked on time series data to find trends and patterns and hence detect and removed anomalies from continuous integration build data as input.
• Collaborated with cross-geo and multidisciplinary teams to solve work requirements using existing technologies.

Sep 2020 – Nov 2020 · 2 mos · Magdeburg, Saxony-Anhalt, Germany

• Development of a web based medical image DICOM viewer using vtk and itk and deep learning based algorithms for positioning and navigation of medical devices.
• Development of whole medical image viewer and navigation system from scratch making it more visually appealing and easier to use as well as made it platform and OS independent.

Nov 2019 – Apr 2020 · 5 mos · Frankfurt, Hesse

• Developed medium term data warehouse strategy for the firm thus bringing data relevant to all financial KPIs at one place.
• Developed web scrapers to scrape data from multiple job portals and store them in data warehouse to make all data from internal CRM system and over the web in structured format.
• Case based recommender system developed to fetch priority deals and automated sending of report monthly to investment associates.
• Saved more than 120 man-hours monthly by automating data gathering, storing and making recommendations for investment decision making.
• Used Selenium and Beautifulsoup to scrape data from public resources and help in tracking company's growth. Developed MVP using these public signals to help prioritise deals.

Dec 2014 – Oct 2018 · 3 yrs 10 mos · Bengaluru, Karnataka, India · On-site

• Used clustering and classification techniques for text data to assign support tickets to relevant support teams after suggesting generalised solutions.
• Unstructured data processing using NLP at Infosys R&D unit.
• Presented the results to various stakeholders using SSRS and PowerBI reports.
• Redesigned a utility to sort and store .pst and .ost files of Microsoft outlook according to sender’s details and date for an application developed for SAP team. Used efficient data structures and made the application run faster.