Hey there!
I'm Somyadeep Shrivastava
Greetings! I’m a Master’s student in Computer Science at USC with a flair for Full Stack Development, Data Science, NLP Research, and Design. My passion for innovation drives me to explore the unknown, both in technology and the world around us. Let’s share insights over coffee at a new spot and spark a creative connection.
Technologies
Programming Languages
Python
JavaScript
C++
Java
TypescriptFront-End
React.js
HTML
CSS
Justinmind
FigmaBack-End
PostgreSQL
Flask
Node.js
AWS/GCP
DockerAI/Data Science
Pandas
Numpy
Pytorch
Tensorflow
Projects
EventFinder
Event-booking website and matching Android app, integrated with Spotify and Ticketmaster APIs, on Google Cloud Platform, facilitating user-friendly event exploration and ticket purchase
- ReactJS
- NodeJS
- Java
- Android Studio
Forecasting Dashboard
This interactive dashboard provides a comprehensive overview of hospitalization rates due to COVID-19 and the flu across various regions. Utilizing the latest data, it offers insights into trends, predictions, and comparisons between different states and timeframes.
- ReactJS
- Python
Therr Business Analytics Dashboard
Built Therr's Business Dashboard and Customer Engagement Tracking dashboard during my summer internship. Integrated real-time notifications, boosted app responsiveness and constructed a line graph UI and space rating feature
- ReactJS
- Typescript
- NodeJS
- PostgresSQL
TalkTrack
It allows user to upload set of audio conversation files and classify and group them on basis of intent, sentiment, taxonomy. Complete visual pie chart representation of identified audio files category. It could be used to analyze personal audio clips, criminal phone recording and other buisness usecases.
- Flask
- Python
Ecommerce Website Product Category Prediction
Trained a Fine Tuned BERT model which lets you predivt product category on given product details of flipkart website. Extensive data analysis was done extract features used in purpose of training the model.
- Python
- Pytorch
Data Breach Data Analysis and Prediction
Databreaches has been one of the most hazardous incidents in the field of cyber crimes. With most of the people using online data backup services , data security is the utmost need . Therefore it is needed to closely drive insights from past data breach incidents and find patterns or categorize them. So then it is easy to find what are the factors in such data breaches and who are the main culprits. Therefore I come up with textual analysis of data breach incident description data and modelling it using machine learning techniques.
- Python
- Scikit-learn
Publications
Twitter-STMHD: An Extensive User-Level Database of Multiple Mental Health Disorders
Worked in team of five in MIDAS LAB IIIT Delhi, collected and annotated temporal twitter data over 2017-2021 of twitter users who self reported that they were diagnosed with any of the 8 major mental health disorders. Performed data extensive analysis to identify pattern for early diagnosis. Our Data set Paper got published in ICWSM 2022
- Python
- Twitter-api
- matplotlib
Cost Effective Influence Maximisation
Worked on developing algorithms to find a cost effective path in the network, to make a meme(product) socially viral. Our paper got published in COMSNETS 2021
- Python
- R
Classroom Student Attention Surveillance System
Used combination of classical statistical techniques and computer vision to identify distracted students on the basis of facial landmark position movements. Our paper has been published in INDIACom 2021
- Python
- OpenCV
Timelines
Master's In Computer Science
Courses - Algorithms, Database Systems, Web Technologie, Machine Learning
GPA - 3.78
Software Developer
2021 - 2022
NLP Research Intern
2021
Summer Research Intern
2019
Bachelors in Computer Science and Engineering
Courses - Data Structures and Algorithms, OOPs, Data Analytics, Machine Larning, Deep Learning
CGPA - 8.92/10
Achievements
Won Hackathon Organized by Sandbox Startups
Spot Award at Deloitte
Won Inter-College Debate Competition
3+ Publications