Quantitative Investment Strategy - Python
I tested various technical indicators, including RSI, Bollinger Bands, ADX, DI, MA, and MACD, to evaluate the associated risk. I assessed their effectiveness as standalone and combined strategies to determine the best approach, gaining insight into the strategy’s performance and risk. This informed decision-making and improved the overall effectiveness of the approach.
RSI Failure Swings Investment Strategy - Python
I adjusted the RSI technical indicator to account for failure swings and utilized it to analyze the capital growth over time. To do this, I passed the dataframe into a custom function that performed statistical analysis, which included skewness, kurtosis, maximum drawdown, standard deviation, and Sharpe ratio. By creating and utilizing this function, I was able to gain valuable insights into the performance of the strategy with regards to the capital growth over time.
The Legend Of Zelda NES game - C#
As a team of six, we created a playable Zelda game from scratch using the MonoGame extension. We divided into three groups, with my group handling the HUD and collision detection. In each new sprint, roles rapidly changed, requiring flexibility and effective collaboration to overcome challenges.
InterviewAI ChatGPT Project - Python
This project is a website built with a Node.js frontend and a Python FastAPI backend, using the ChatGPT API for a core feature. The idea is straightforward but impactful: users can upload their resumes and a job description they're interested in. The site then analyzes the resume against the job description to highlight any gaps in skills or experience, we also provide the user a list of keywords that they can include in their resume. We've also integrated Elasticsearch to recommend books that can help fill those gaps. It's been an interesting challenge to bridge technology with personal development.