A final year undergraduate at BITS Pilani, who is passionate about solving problems using the power of data.
Experience
Bank of New York Mellon, Pune
Data Insights Intern | Aug - Dec 2020
I worked with the Data Insights team to provide quantitative and qualitative insights into the operations data which can help in increasing efficiency and identify any repetitive core issues that might be hindering the processes.
Walmart Global Tech, Bangalore
Summer Intern | May - July 2020
As a part of the Personalization Team, I contributed in migrating on-premise data to Google Cloud Platform. I was involved in setting the ETL workflow using Scala and Spark and converting Shell scripts of private cluster to run accordingly on GCP.
Indian Institute of Management, Ahmedabad
Winter Intern | Dec 2019 - Jan 2020
The aim of the project was to make use of textual data to obtain useful insights without human intervention. I worked on building a pipeline that gives the user an insight into the YouTube comments section of any YouTuber that the he/she wants to know about. Apart from that I also worked on sentiment analysis of restaurant reviews and readability scores of text.
Central Electronics Engineering Research Institute, Chennai
Summer Research Intern | May - July 2019
The aim of the project was to detect abnormal heart conditions like arrhythmia using the data received from wearable technology like smartwatches. In a group of 4, we worked on the backend aspect of the project.
Projects
A case study for a product that connects students with their college clubs. Conducted user interviews, brainstormed a solution and built the UI prototype.
A case study for a product that nudges people towards eco-friendly options while organizing events. The proposed product is a one-stop-shop for event requirements.
An approach using exponential smoothing and tuning parameters to segment foreground in videos with dynamic background in real time.
Implementation of the research paper titled "Reconstructing perceived faces from brain activations with deep adversarial neural decoding" using PyTorch framework.
A search engine for legal documents which retrieves relevant documents from a dataset of ~2000 documents. I built the User Interface and the backend for the product.
Surveyed the state-of-art Delta models which use deep learning to build an Information Retrieval system for biomedical document retrieval.
Built an IR system for free text queries using SMART (lnc.ltc) notation on a vector space-based model. Dataset used: 1M+ documents retrieved from Wikipedia.
Used chi-square testing to obtain topics of discussion in comments section of YouTube videos. Obtained sentiment analysis of the comments to know the opinion of viewers.
Publications
Real Time Foreground Segmentation in Videos with Dynamic Background
INDICON 2020 (IEEE India Council International Conference)
Awards
Project Jam Protothon Fall 2020 - Among Top 5 Teams
Product Buds | November 2020
• Was in the top 5 teams out of 21 participating teams for a case study of a product to deal with "The New
Normal." Our product focused on providing a platform for university students to engage in social activities during the lockdown.
• Had the opportunity to pitch our idea to 4 International Tech Product Managers.
NetApp Women INnovathon - Second Runner Up
NetApp, Inc. | October 2020
• Won prize money for building a legal search engine "Just-Justice."
• Selected for a 3 month mentorship program by NetApp professionals.
Grace Hopper Celebration India - Student Scholar
Anita B.org | July 2020
• Awarded with a free pass to the Grace Hopper Celebration India Conference, Asia's largest gathering of women technologists.
Blogs
I love to write about my experiences and projects on my Medium blog.