Munqiz Minhas's Projects
ASU FinTech Bootcamp Material, consisting of Jupyter Notebooks filled with information regarding Exploratory Data Analysis, Python, Pandas, API's, Monte Carlo Simulations, Machine Learning, Data Management w/ SQL, Time Series Analysis, and more!
A Financial Technology case study on Chainlink Labs
Credit risk poses a classification problem thatβs inherently imbalanced. Using a dataset of historical lending activity from a peer-to-peer lending services company, build a model that can identify the creditworthiness of borrowers.
A Jupyter notebook that clusters cryptocurrencies by their performance in different time periods. Visualize results!
Streamlit Application that demonstrates what a user could possibly have made if he/she invested in a cryptocurrency at a specific time.
Developing a Crypto-Currency Wallet Demo utilizing Python's Web3 Package, Streamlit, and Ganache Blockchain. This application enables a user to hire a Fintech Professional and send payments in the form of Crypto-Currency.
Streamlit Application which allows the user to enter a link to a Google Sheet that will then convert to a Excel File. The user will be able to edit the contents of the file within the application and the file will be updated in real-time while being stored in the users local download folder. Application is a work-in-progress!
Personal finance planner that will allow users to visualize their savings composed by investments in shares and cryptocurrencies to assess if they have enough money as an emergency fund & a retirement planning tool that will use the Alpaca API to fetch historical closing prices for a retirement portfolio composed of stocks and bonds.
Personal website created with HTML & CSS
Assume the role of a growth analyst at Mercado Libre. Produce a Jupyter notebook that contains your data preparation, your analysis, and your visualizations for all the time series data that the company needs to understand.
Use your data visualization skills, including aggregation, interactive visualizations, and geospatial analysis, to find properties in the San Francisco market that are viable investment opportunities.
Range of Object Oriented Programming Projects in the Java Programming Language
Created a Solidity smart contract that will use ether management functions to implement a financial institution's requirements for providing the features of a joint savings account (such as the ability to deposit and withdraw funds from an account).
Developing, KaseiCoin, a fungible ERC-20 compliant token that will be launched through a crowdsale which will allow people who are moving to Mars to convert their earthling money to KaseiCoin!
Combine your new algorithmic trading skills with your existing skills in financial Python programming and machine learning to create an algorithmic trading bot that learns and adapts to new data and evolving markets.
Profile README
Determine which portfolio is performing the best across multiple areas: volatility, returns, risk, and Sharpe ratios. A tool that analyzes and visualizes the major metrics of the portfolios across all of these areas, and determine which portfolio outperformed the others.
Portfolio Website created with React
Our team was interested in expanding our previous project to develop a chatbot utilizing Python, Streamlit, and Machine Learning.
Being interested in the housing market from a personal perspective, our team decided to seek out the Impacts of the Pandemic on the Phoenix Housing Market
Being interested in the Financial Markets from a personal perspective, our team decided to generate 3 different types of investment portfolios utilizing machine learning and traditional financial metrics.
A Blockchain-Based Ledger System that allows users to conduct financial transactions and verify the integrity of the data in the ledger. Demo created using Streamlit Library.
Analyze the financial records of a company by creating a Python script that will pull information from a dataset and produce output
Simple Interest Calculator created with HTML, CSS, and JavaScript.
Single-Page HTML Website
A Python application that will allow the user to pull up to at least 10 years of historical stock prices for the US Stock Market!