Jul 2024 – Feb 2025 · 7 mos · Bengaluru, Karnataka, India · On-site

• Discovered and validated the problem of pickup deviations affecting 25% of rides, conducted opportunity sizing, and designed a system-verified sticky location solution, leading to a 10% improvement in High Accuracy Pickups (HAPs) from 75% to 85%.
• Ideated, discovered, and strategized the launch of 'Walk and Save' feature, resulting in a 1-1.5% FE-to-CPL lift, a 0.5% FE-to-Net improvement leading to generating an additional revenue of 2.1 Cr, and higher adoption rates (20-25%) with the new UI, while addressing adoption challenges through user onboarding strategies.
• Designed and executed an experiment to reduce anxiety and build user patience for Auto Share rides, increasing Time to Cancel from 30s to 120s, decreasing user-led cancellations by 5.8%, and boosted captain acceptance rates from 77% to 89% through various experiments.

Jul 2023 – Jan 2024 · 6 mos

• Transforming healthcare, Vitalise.Ai simplifies complex medical reports, offering personalized health insights and direct communication with doctors. Our platform empowers individuals with tailored diet and workout recommendations, timely medication alerts, and the ability to explore local disease trends. Join us in reshaping the future of healthcare by making health information accessible and empowering for all!

May 2023 – Jul 2023 · 2 mos · Mumbai, Maharashtra, India · On-site

• Redesigning the UI and UX of the search page of blinkx search engine which increased the acquisition of new user of the search engine by 21% and retention by 14%.
• Led product strategy and designed app screens, formulated revenue strategies, and conducted in-depth research for BlinkXaT, a FinTech tax-saving app, from ideation to launch.
• Analyzed competitor DIY journeys, devised onboarding strategies, and executed innovative user acquisition tactics, resulting in a notable 12% increase in user acquisition for BlinkX trading platform.

May 2022 – Jun 2022 · 1 mo

• Attended 20+ sessions on Basics of Computer Forensics, On Reverse Engineering, and various topics of Cybersecurity.
• Learned about various types of attacks, Password sniffing, how to use Wireshark, Session hijacking, ARP spoofing, Denial
• of service attack, etc.
• Submitted a report on Mirai(Stealthy) Bot Attack Detection using Machine Learning.
• Report link: https://drive.google.com/drive/folders/1ITxHei0n6xV5AJQuKGzRn6iswPV3egPa?usp=sharing

May 2021 – Jul 2021 · 2 mos

• Ideated and Developed the Advanced version of MS Teams with feature list for the app like OCR,QR Code Creator and Scanner, Realtime News feature, along with it's current features like Video Calling, Chat, Assignment Upload and Calendar along with User Authentication features.
• Built the app with above features using agile methodology.
• Tech Stack: Flutter, Firebase.

May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India

• 1) Created a process to collect Google Reviews and ran a set of experiments
• 2) Determined user experience problems in App and worked on improvement
• 3) Worked on increasing Average Time Spent on Application by Doctor
• 4) Did a primary patient feedback survey
• 5) Worked on creating a process for remote doctor activation
• 6) Worked on simplifying doctor onboarding.
• 7) Worked on creation of Hypertension Care Plan