Hi there 👋🏽 My name is Srinjana Sriram and I'm an undergraduate Math/CS student, at UCLA. I'm passionate about problem-solving, amongst other things. Over here, you'll be able to find more information about some of my past projects and other interests. Feel free to explore and find out a little bit more about who I am and what I like to do.
- Projects
- Papers and Publications
- Pitch Decks and Presentations
- Problem-Solving and other Educational Resources
- Hobbies
- Connect with Me
Description
While exploring the UCLA MakerSpace, I made a clap-activated LCD greeting panel, using an Arduino Uno, a few jumper wires, resistors, capacitors, a breadboard, a LM358 op-amp, an electret microphone, and a gwt-c1627a-rgb v1.1 liquid crystal display.
Repository
#include <LiquidCrystal.h> // Includes the LiquidCrystal Library
LiquidCrystal lcd(3, 2, 4, 5, 6, 7); // Creates an LCD object. Parameters: (rs, enable, d4, d5, d6, d7)
...For the complete code, visit https://github.com/srinji5141/EchoGreet/blob/main/helloworld.ino
For the complete circuit design, visit https://github.com/srinji5141/EchoGreet-UCLA-MakerSpace/blob/main/README.md
Demo
Description
During the 2023 ASA DataFest, my team and I explored why certain client questions experienced response time lags from laywers, on the American Bar Association's Free Legal Answers virtual advice clinic. To do this, we cleaned our dataset of unrelated, and missing data. We explored variables such as time stamps, and created more meaningful variables such as time durations. We then plotted this data in histograms, pie charts, and scatter plots to understand the geographic spread of this data. We then continued to text mine the client questions and analyse which particular questions were experiencing time lags, which we represented through word clouds
Skills: data pre-processing, feature engineering, data analysis, summary statistics, data visualisation, text mining, data manipulation etc.
Notebook Link: https://colab.research.google.com/drive/12J91HZHFGJDgecqVG6SmbZxZhspmF7ZB?usp=sharing
Project Poster
Description
During the 2023 LAHacks, my team and I built a sentiment analysis trading bot, which automatically outputs trading recomendations based on user-specified market and asset classes. It works by webscraping for recently published articles, based on those specifications, and then classifies them, according to their degree of positivity, using Cohere's NLP models.
Repository
The following code snippet trains Cohere's NLP classification model to identify whether the webscraped article titles are about company stocks or not.
import cohere
from cohere.responses.classify import Example
...For the complete code snippet, visit https://github.com/srinji5141/SentiBot-LAHacks-2023/edit/main/SentiBot.py
Demo
To watch a full demonstration of SentiBot, visit https://devpost.com/software/sentibot-un7qmy
Description
To address a personal challenge of managing professional contacts, I developed a custom LinkedIn Web Scraper. This tool automates dynamic website navigation, and extracts the biodata of over 500 "Connections" within the LinkedIn "My Network" section. It then conveniently organizes the collected information into a .tsv file. This .tsv file acted as an effective resource for me, as it helped me keep track of my professional interactions, such as cold-emailing etc.
Repository
from selenium import webdriver
from selenium.webdriver.common.by import By
...For the complete code, visit https://github.com/srinji5141/Professional-Contacts-Management-Program
Feel free to run the above code, with your login details, and download all your contacts' details into a .tsv file, for simple professional contacts management!
Description
To look into international developmental metrics, my partner and I explored Kaggle's World Happiness Report Dataset. We first cleaned the dataset, and then created correlation matrices, as well as summary statistcis on metrics such as GDP per capita, life expectancy, social support etc. We also plotted histograms of happiness scores over the years, as well as over continents to understand the spread of data. Finally, we conducted some predictive analytics through linear regressions on happiness scores and GDP per capita.
Skills: data pre-processing, data analysis, summary statistics, data visualisation, data manipulation, linear regression, principal component analysis, k-means clustering, etc.
Notebook Link: https://colab.research.google.com/drive/1gTCRITuahCMoxXAWANOLqniY-mNxbIZs?usp=sharing
Description
In order to combat the post covid-19 effect, I built a randomised intention-setting website as a creative project to play around with, when feeling bouts of demotivation or lack of focus.
Repository
let intention = [" Take it easy 😎 ", " Be present and connected 🎁 ",
" Set a goal for today 🦾 ", " Forgive others and yourself 🫀 ",
...For the complete code, visit https://github.com/srinji5141/MidnightMindfulness.com
Demo
To play around with the website, visit https://srinji5141.github.io/MidnightMindfulness.com/
⏪ Menu
Hoping to model optimization through multivariable calculus, I embarked on a personal journey of answering, how we can achieve work-life balance. Drawing from economics' concept of utility functions, this paper explores mathematical approaches to optimize the satisfaction of students with different study routines. Through data collection and mathematical modeling, I used derivatives, contour lines, and the Lagrange multiplier, to offer insights into managing our personal and professional lives.
Download Link: Cobb_Douglas_Function.pdf
Research Gate Link: https://www.researchgate.net/publication/374153474_Cobb_Douglas_Function_Optimising_student_happiness_based_on_play_time_and_study_time
DOI: 10.13140/RG.2.2.36022.47688
Motivated by my love for boba, I decided to use probability and statistics to enhance the boba store experience. Through using the M/M/1 model from queueing theory, a type of stochastic process, this paper aims to answer the question: can Mathematics expedite wait times at boba stores?
Download Link: Queueing_Theory.pdf
Research Gate Link: https://www.researchgate.net/publication/374153587_Queueing_Theory_Optimising_wait_times_at_boba_stores
DOI: 10.13140/RG.2.2.29311.59042
Regulation VS Deregulation: What is the optimal level of government intervention, in the Singaporean market?
Inspired by John Komlos' philosophy of humanistic capitalism, my partner and I explored the intricacies of protecting Singapore's competition and consumers. In an age of digitsation and globalisation, this paper uncovers potential threats and proposes a three-pronged solution of monitoring, consultation, and regulation. Through case studies, we underscore the need for diligent oversight within Singapore's unique policy framework, which harmonizes state and market efforts.
Download Link: Regulation_VS_Deregulation.pdf
Research Gate Link: https://www.researchgate.net/publication/374153726_Regulation_VS_Deregulation_What_is_the_optimal_level_of_government_intervention_in_the_Singaporean_market
DOI: 10.13140/RG.2.2.10437.22241
Motivated to enhance student engagement with Math, I created this Math-themed colouring booklet to kindle a sense of curiosity about the vast world of Mathematics, amongst young learners.
Download Link: Mathematics.pdf
⏪ Menu
Won 1st Place
As part of the Data Rangers team, for the AWS Innovation Challenge, I was able to develop a data-driven gamified social media platform for the LA 2028 Olympics. Our solution aimed to address declining viewership by engaging users in daily challenges, real-time trivia, and community leaderboards.
Our pitch deck included a problem statement, a Figma mockup of our application detailing the user journery, as well as a data pipeline explaining how we would attempt to create custom daily challenges. It also featured a market analysis, a business plan, and an implementation timeline.
We had the honor of presenting our application at the LA2028 office and securing incubation at the AWS Cloud Innovation Center.
Won 5th Place
As part of BCG's annual case competition at UCLA, my team and I evaluated growth opportunities within the US video game industry. More specifically, we focused on whether Blizzard Entertainment should venture into the US streaming industry through a TV adaptation of their beloved game, Overwatch.
Our presentation included a thorough industry SWOT analysis, a comprehensive examination of Blizzard Entertainment and its competitors, and a case study of Arcane. We were lucky enough to make it to the final round of the case competition, where we presented our findings to a panel of BCG judges.
Won 3rd Place
As part of the BruinLabs summer program, my friends and I collaborated on SWAP: a web application designed for crowdsourced item borrowing. Through the program, we learned the nuances of entreprenuership and product development.
⏪ Menu
A drive filled with A graded internal assesments, extended essays, past papers, notes, and sample college essays, compiled and written by myself, for struggling IBDP students.
Google Drive Link: Srinji's Gift :)
⏪ Menu
🎨 Growing up, I did a lot of art which I like to post about, from time to time, on my WordPress.
💅🏽 Nowadays, I don't have as much time to paint on canvas, so I try to paint my nails instead!
⏪ Menu
Feel free to contact me via E-mail or connect with me on LinkedIn.
- E-mail: [email protected]
- LinkedIn: https://www.linkedin.com/in/srinjana-sriram/
- GitHub: https://github.com/srinji5141
- Wordpress: https://srinjana.wordpress.com/
- Instagram: https://www.instagram.com/srinjana_sriram/
⏪ Menu
Thank you for visiting my personal website. I hope you enjoyed!
