About Me
Introduction:
Since I was in the fourth grade, I spent a massive amount of time on my father's computer and enjoyed spending time surrounded by technology which intrigued me to take up Computer engineering as my major. I have a strong interest in learning about data sciences, machine learning, and artificial intelligence. I like working with others on projects, research, hackathons, and any other endeavours that allow me to learn and advance professionally.
In addition to my love of technology, I also enjoy travelling, trying out different cuisines, reading, and watching movies.
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Education:
I am currently in my 4th year (Senior year) of Computer Engineering at K.J. Somaiya College of Engineering, Mumbai. I am also pursuing a honours degree in Data Science and Analytics. More information can be found on my resume!
![KJSCE Logo](/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Fsomaiya.643a6be5.png&w=1920&q=75)
K.J. Somaiya College of Engineering
BTech. in Computer Engineering + Honours | CGPA : 9.61
2020-2024 (expected)
Pace Junior Science College
HSC Board (PCM + E.M.) | 92 % with 200/200 in E.M.
2018-2020
The Cathedral and John Connon School
ICSE Board (Elective : Computer Applications in Java) | 95%
Till 2018
Projects
Savant
All in One Research Assistant Webapp
As part of KJSCE HACK 7.0 (A 24 hour hackathon), built a Comprehensive virtual research assistant which aims to help students and researchers to streamline and organise their research for efficient results. Some Features are Collaborative writing, Performing Annotations, Generating citations and Performing Plagiarism, Grammar and Paraphrase checks
MATERIAL-UI
MERN
POSTMAN
SpaceVest
App and Website for Sustainable Investing in 2050
Futuristic comprehensive investing platform which aims to promote sustainability amongst its user's by introducing them to diverse and sustainable investment options. Created a website as well as mobile application which allows the user to buy and sell stocks, understand companies and their portfolio using ESG Score, and use a chat forum
REACT
FLUTTER
TAILWIND
FIREBASE
SafeSocial
Chrome extension to Haze The Hate
As part of KJSCE HACK 6.0 (24 hour hackathon) , Built a chrome extension to block hateful and offensive comments on social media sites like Youtube and Twitter. Made our Machine Learning model using - Keras and TensorFlow modules of Python. My team managed to qualify for the final round and be a part of top 10 out of 150 teams !
JAVASCRIPT
PYTHON
FAST-API
Probe
Online Summariser Chrome Extension
Chrome browser extension that allows users to quickly summarize text-based webpages, like research papers, news articles, Wikipedia pages, and blog posts. With Probe, users can quickly get a summary of the main points of a webpage without having to read through the entire page. This can be useful for identifying key information when conducting research.
JAVASCRIPT
HTML
CSS
MANIFEST3
Diagnose That
Multiple disease prediction website
As part of our Mini Project coursework, created a multiple disease prediction website that predicts diseases like lung cancer, alzheimers, TB, Diabetes, Heart and Urinary diseases, as per the information entered or provided by the user. It also provides user's precautionary advisory based on their results
PYTHON
JAVASCRIPT
FLASK
BOOTSTRAP
Other Projects
Check out my GitHub
I enjoy creating projects and collaborating with others, Some of my other projects include Federated Recommendation System, Colour blindness simulator, Stegano-Master (Package for Video Steganography) and A.Iris (Ocular Diseases Detector). To know more, checkout my GitHub !
PYTHON
TYPESCRIPT
REACT
CSS
Work Experience
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JPMorgan Chase & Co.
Software Engineer Intern (Summer)
• Worked under the Corporate and Investment Banking Line of business
• Developed custom actions using TypeScript, React, and Electron which interact with Spring framework (Java) based APIs and developed React dashboards
• Participated in skill and professional development sessions
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IIM Ahmedabad
Summer Research Intern
• Worked at Center for Digital Transformation under Professor Pankaj Setia on "Technology in Retails" to understand use of neural networks in Product Development
• Wrote algorithms and applications in Python to create neural networks, perform agent- based modelling, visualize results and automate excel sheet creation
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Ernst & Young LLP
Software Development Intern
• Worked under the Assurance vertical in Forensics service line
• Assisted in development of the Software Product Platform in Azure, Created workflows, tested workflows, created documentation on EY Virtual Workflow and Data management and developed dashboards using Microsoft Power BI
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K.J. Somaiya College of Engineering
Research and Web Scraping Intern
• Worked under Professors of IT department to research about attacks using AI voice bots on human voice authentication systems and developed bilingual interactive system
• Worked under Professors of IT department to research, test and develop a Python based website to scrape web pages based on URL and keywords provided by the user
Achievements and Awards
Awards & Recognitions:
• Stood 1st in Web App domain at Hackerstellar 2023
• Stood 3rd in Business planning event - Plandemic
• Stood in TOP 10 out of 150 teams at KJSCE Hack 6.0 and 7.0
• Received Scholarship from Google and Talentsprint to be a part of the Women Engineers mentorship program of two years. Selected after giving a set of three competitive rounds where more than 27 thousand female freshman students participated
• Received Scholarship from AWS and Udacity to pursue a nanodegree in ML Foundations
• Received a scholarship to attend KubeCon+CloudNativeCon Europe (Virtual) 2022 and Harvard WECode 2022 conference.
• Won 3rd Prize at 2023 School Challenge by JP Morgan and Agastya Foundation for mentoring underprivileged students to create Aqua Alarm - Saline Tracking System
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Key Achievements:
• Part of Microsoft Engage Mentorship
• Selected for Amazon Machine Learning Summer School
• Placed in Top 30 teams of 'CITI Digital Innovation Challenge'.
• Placed in Top 50 teams of Microsoft BIAL Genie Hackathon.
• Placed in the Top 20 teams at ‘Hackstreet’
• Participated in Flipkart GRiD 4.0 - Software Development Challenge, SheHacks 5.0 and 6.0, Rakathon'22, JP Morgan Chase’s Code for Good’22 and Royal Hackaway
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