Aug 2023 – Dec 2023 · 4 mos · Hyderabad, Telangana, India · On-site

• Currently My Research Work is On Studying Neural Network's Behaviour on Different Clusters and Developing a Framework for Training Models Efficiently.
• @Data Science and Analytics Centre (DSAC)

Aug 2023 – Sep 2023 · 1 mo

• Perform Data Science on Data that remains in someone else's server using Syft Stack.

Jun 2023 – Aug 2023 · 2 mos · Hyderabad, Telangana, India

• Our team's current focus revolves around tackling escalated complaints, aiming to distinguish them from the usual ones. Additionally, we're implementing a categorization system that will organize these complaints into different sections, aligning them with the specific services they pertain to.
• In the longer term we aim to streamline the complete complaint resolution process using Large language models (LLM)

Apr 2023 – Jun 2023 · 2 mos · New Delhi, Delhi, India · Remote

• Currently working on effective alpha generating strategies
• using machine learning and deep learning.
• Predicting volatility index of indian market, calculating spread
• for each week days. Working on pair trading strategy
• (market-neutral), backtested on different stocks.

Jun 2022 – Aug 2023 · 1 yr 2 mos · Remote

• As part of the cohort, I will be volunteering to work with the community in their ML democratization efforts. I will contribute to the Machine Learning open-source ecosystem.

Jun 2022 – Aug 2022 · 2 mos · Remote

• My Responsibilities were to create Article Structure, Data Science Curriculum, Review Content, etc.
• My work revolves around topics like Numpy, Pandas, Keras, Matplotlib, NLP, etc.(We Got 501k Monthly Clicks)

Jun 2022 – Aug 2022 · 2 mos · Montreal, Quebec, Canada

• I have been selected for the Mitacs Globalink Research Internship 2022 at McGill University, Canada, a global top 50 university and top 3 in Canada.
• I would be working on the project titled "Machine Learning to Predict Temporomandibular Disorders Risk from Genotypes", under Sahir Bhatnagar.

May 2022 – Jul 2022 · 2 mos · Chennai, Tamil Nadu, India · Remote

• I will be part of the Artificial Intelligence Advancement Center (AIAC) Team and working on NLP based projects.

Apr 2022 – May 2022 · 1 mo

• I took Machine learning session in which I taught them about basics of machine learning like thinking of features, dimension issues, fitting lines and curves etc.
• We also covered kaggle courses as assignments and applied skills on real data sets. It was a hybrid session. Over 200 students registered for the event.

Oct 2021 – Dec 2021 · 2 mos · Bangalore Urban, Karnataka, India

• I was responsible for writing scripts and scraping data from different websites. I learn how to handle requests, regex, SQL.

Apr 2021 – Nov 2021 · 7 mos · India

• I was doing research work under the guidance of IIIT NR Professor in Data Privacy. I learned differential privacy and applied it so that every company and country can share data without any security concerns.

Dec 2020 – May 2022 · 1 yr 5 mos

• World rank :- 335 / 29,147

Nov 2020 – Jan 2021 · 2 mos · India

• In this, we learn about quantum computing, quantum physics, the mathematics behind it, and quantum algorithm.
• We also implemented an algorithm using IBM’S QISKIT
• I selected Quantum Machine Learning for the specialization domain.

Aug 2020 – Sep 2020 · 1 mo · United States

• To build an economic well-being model. The goal is to train machine models to learn features related to urbanization and to changing agriculture thus giving a better understanding of economic well-being. The project falls under the UN ́s Sustainable Development Goal 8.

Jul 2020 – Aug 2020 · 1 mo · United States

• Project: In this two-month AI Challenge, will work on detecting rooftops via satellite images to identify crucial rooftop features for solar panel installments. The developed solutions could significantly help to facilitate solar energy adoption