Aug 2023 – Sep 2024 · 1 yr 1 mo · Noida, Uttar Pradesh, India · Remote

• •Worked with Geo-Addresses duplications using ML and built GenAI solutions using LLMs.

Feb 2023 – Jul 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

• Team - International Machine Learning (IML)
• Worked on deals sourcing and ranking models for Amazon’s Deals of the Day & Lightening Deals.
• By using Embedding-based enhancements boosted performance by 4% for billions of products.

Aug 2022 – Nov 2022 · 3 mos · Gurugram, Haryana, India

• Leveraged reinforcement learning to provide personalized recommendations on food items to order.
• Implemented Facebook ReAgent model to recommend food items on the homepage of the Zomato app.

Dec 2021 – Feb 2022 · 2 mos · Bengaluru, Karnataka, India

• Reduced manual efforts of complaints classification for different departments by 85 % using NLP and machine learning predictions.
• Extracted data using SQL queries to understand the type of issues resolved by departments to predict department for future requests.

Jul 2021 – Dec 2021 · 5 mos · Bengaluru, Karnataka, India

• Worked as an Intern @ Global AI Accelerator (GAIA) Research and Development unit.• Used Probabilistic Graphical Models (Bayesian Networks) to understand the dependencies between current hardware of cell tower. • Implemented a research paper : DAGs with NO TEARS: Continuous Optimization for Structure Learning and applied on company’s cell tower’s data. • Detected faults with 82% accuracy in cell-towers using Bayesian networks. • Reduced laborious work of climbing towers by detecting faults from system itself.

May 2021 – Jun 2021 · 1 mo

• Worked as an Intern in Growth Team. • Intended to increase the number of users of the Magicpin App. • Automated sending of WhatsApp messages using Python scripts for Millions of users.• Sent Daily Push Notifications in User set fetched through SQL Queries defined upon users, locations and merchants. • Achieved a big number of clicks through WhatsApp and Push Notifications.

Sep 2018 – Feb 2019 · 5 mos · Mumbai, Maharashtra, India

• Mocking Bot | Sklearn, NumPy, Pandas, Wave, Struct
• Developed a prediction tool of Notes and Instrument in a given Audio file in a team of 4 members.
• Used SVM classifier to detect the instrument being played in an audio file, along with all the notes and frequencies
• present in the audio file.
• Further, this was extended to make a robotic system that would mimic the audio, based on the results given by the
• classifier.
• reached in the pre-final round after clearing five competitive stages