Cadeira AI (2024) JavaScript, Python, and HTML
Cadeira AI was designed to facilitate the booking process
for businesses. The most common way to make reservations in the United States is through phone calls and keeping
someone on the phone taking reservations all day is a time-consuming task. Small and medium-sized companies, especially
those in the restaurant industry, encounter difficulties in managing incoming calls efficiently. This challenge is
primarily attributed to the constrained availability of their phone lines due to the business's limited working hours.
As a result, the phone lines often find themselves occupied, preventing the company from handling more than one call
simultaneously. The combination of restricted operational hours and the limitation of handling only a single call at a
time creates hurdles in providing timely and effective communication with customers, potentially leading to missed
business opportunities and customer dissatisfaction.
My work at Cadeira AI consists of product and web development. Utilizing Python and JavaScript to create the product was
fundamental to its success. I developed our chatbot to be able to function in various languages and integrate it with
different databases. I also created databases in node.js by utilizing the sequelize library for storing all of our
customer, client and reservation data. Our product was submitted to the Microsoft Imagine Cup 2024 and we are currently
waiting for our results.
Innosemble (2024) Python, JavaScript, Azure, and Data Analysis
At Innosemble, I am involved in the development of web applications aimed at providing students with resources to find internships and connect with companies. The core of the project was built using various cloud services and tools, with Azure hosting the applications to ensure high availability and scalability.
My role involves full-stack development using technologies like React, node.js, and Express for creating a smooth and user-friendly platform. I implement dynamic search features that allow students to filter internships based on location, duration, and specific requirements. I use SQL and Postgres to store and manage data, ensuring that the platform is up-to-date and efficient.
- Developing a cloud-hosted web platform on Azure
- Implementing efficient internship search functionalities
- Using Azure to automate data collection from external websites
- Analyzing scraped data to optimize and personalize search results
- Collaborating with teams to ensure robust backend APIs
The project includes continuous analysis of data to improve engagement and interaction with the platform. Future developments include integrating machine learning techniques to provide internship recommendations and additional data insights for users based on their preferences.
Discord Flight Bot (2024) Python, Discord, AviationStack API
My discord flight bot was designed to facilitate
finding the arrivals and departures of a certain airport. The bot was created using Python, the Discord and AviationStack API. The
project came about when I was looking for a way to receive daily notifications of incoming and outgoing flights. I found that there were
no bots that could handle these operations so I decided to create my own. The bot is able to provide all types of information in a
matter of seconds. The bot is able to provide the following information:
- Departure and Arrival times
- Flight airline
- Flight number
- Flight status
- Arrival and Departure Airport
- Aircraft Type
Just type in the airport iata code and the bot will provide you with all arrival and departure information for that airport for the day. The bot will have future updates to include more information such as the weather at the airport and the current status of the airport.
Linear and Logarithmic Regression Analysis (2024) Python, Stata
We were given the task to analyze a group of unkown datasets for our econometrics final project. After analyzing the data we
discovered that the datasets were Anscombe's Quartet.
Anscombe's Quartet is a set of four datasets that have nearly identical simple descriptive statistics, yet have very
different distributions and appear very different when graphed. The quartet was created by the statistician Francis
Anscombe to demonstrate both the importance of graphing data before analyzing it and the effect of outliers on statistical
properties. The datasets are as follows:
- Dataset I: A simple linear relationship between x and y
- Dataset II: A non-linear relationship between x and y
- Dataset III: A linear relationship between x and y, but with an outlier in the data
- Dataset IV: A linear relationship between x and y, but with an outlier in the data
Our project involved analyzing the datasets using Python and Stata. We were tasked with creating a comprehensive study involving a minimum of 10 variables, focusing on describing the relationships within those variables. Our primary objective was to develop a project of significant impact, leading us to delve deeply into the exploration of how individuals allocate their time. The intricacies of time allocation, influenced by myriad factors, play a pivotal role in shaping one's quality of life. Notably, we observed shifts in working hours and preferences, accompanied by a surge in sentiments of solitude. These changes contributed to elevated
Time Spent Analysis (2023) R, PowerBI
For our Statistics project, we were tasked with creating a comprehensive study involving a minimum of 10 variables,
focusing on describing the relationships within those variables. Our primary objective was to develop a project of
significant impact, leading us to delve deeply into the exploration of how individuals allocate their time. The
intricacies of time allocation, influenced by myriad factors, play a pivotal role in shaping one's quality of life.
Notably, we observed shifts in working hours and preferences, accompanied by a surge in sentiments of solitude.
These changes contributed to elevated rates of suicide and adverse effects on immune well-being. This exploration
unveiled a paradoxical consequence of technological advancements. While technological innovations have extended our
lifespans, the advent of Artificial Intelligence (AI) and related technologies has paradoxically fostered a heightened
sense of loneliness among individuals.Our research journey revealed the nuanced effects of our reliance on technology,
where the convenience of phone-based communication, albeit simplifying life, prompts reflection on the potential
social costs. The transition from face-to-face interactions to virtual exchanges raises profound questions about
the nature of our interconnectedness and the evolving dynamics of our social fabric.
Github Time Spent Analysis Repository
BrewStop (2020-2021) Solidworks, OnShape
As the Chief Technology Officer at Brewstop, a pioneering company specializing in magnetic tea steeping devices, I spearheaded the 3D modeling team and played a pivotal role in product development, including successfully filing a utility patent for our innovative creations. Over the course of my tenure at Brewstop, I not only honed my skills in advanced 3D modeling using tools such as Onshape and SOLIDWORKS but also developed a profound understanding of the intricacies involved in creating state-of-the-art 3-Dimensional models for our unique range of products. My role extended beyond design as I actively participated in data collection, conducting rigorous testing to ensure the quality and functionality of our devices. Additionally, I had the opportunity to showcase our groundbreaking products at various events, presenting to diverse audiences and receiving valuable feedback that further contributed to the refinement and success of our offerings. The experiences gained during my tenure at Brewstop have transcended my professional life, turning me into an avid 3D modeler even during my spare time. This passion for creating intricate and visually appealing models has become a personal pursuit, reflecting my commitment to continuous learning and pushing the boundaries of what is possible in the realm of 3D design.
