Mar 2023 – Jun 2023 · 3 mos · Noida, Uttar Pradesh, India · On-site

• Capital 2B, the tech-focused investment fund backed by Info Edge and Temasek as Limited Partners, has a mission to fuel the Tech-driven businesses by partnering with upcoming entrepreneurs and be an active participant in the transforming the customer experience and delivering superior value through world-class platforms.
• Focus Areas: DeepTech, SaaS, DevTools, Al/ML, Fintech
• If you are a startup operating in these areas, then DM me or send a mail at shirin@capital2b.com

Oct 2022 – Aug 2023 · 10 mos · Hyderabad, Telangana, India · Remote

• Guide: Prof. Dr. Sumeet Kumar (ISB) and Dr. Ashique KhudaBukhsh (Rochester Institute of Technology)
• Trained a multi-task deep learning model for summarising and rating the language of children's videos on YouTube

May 2022 – Jul 2022 · 2 mos · Hyderabad, Telangana, India

• Guide: Prof. Dr. Sumeet Kumar (ISB) and Mr. Vishal Karungulam (Google, and Adjunct Faculty at ISB)
• Used text summarization in NLP to elicit user needs for product managers by using online generated data (like product reviews) and extracted information from them to gain insights into the users’ needs and goals. Trained an
• ML model for predicting pain, and gain from app reviews.

Jun 2022 – Aug 2022 · 2 mos

• Mid Term: Quick Commerce
• Final Term: Fitting roll ups in home decor/home start-ups

Jun 2022 – Jul 2022 · 1 mo · Hyderabad, Telangana, India

• Team: AI/ML CTC

Sep 2021 – Dec 2021 · 3 mos · Munich, Bavaria, Germany

• Developed an AI Digital Assistant for Roche to facilitate UX for oncologists in working with clinical and genetic sequencing data

Sep 2020 – Jul 2021 · 10 mos

• Helping students build android-based projects from scratch

Jul 2020 – Sep 2020 · 2 mos

• Project Name: Health Tracker and Vulnerability Predictor
• Built a prototype that provides an EHR system in countries like India where there is very little importance of storage of medical history of an individual. Integrated a Machine Learning- Malaria Detection Model using RandomForestClassifier and the feature extraction technique of contour detection. The model predicts the results with 90% accuracy. Worked on the UI of the project and developed 3 web pages of the web application using HTML, CSS, and Python Flask.