Anvitha Chaluvadi's Projects
Config files for my GitHub profile.
This assignment will challenge me to polish my fintech research skills by accessing reports, publications, and online resources that fintech professionals use to evaluate the industry. It will also help me situate the techniques and technologies that I will use in this course within the real world of global fintech.
I will use various techniques to train and evaluate models with imbalanced classes.
I am creating a prototype for submitting my crypto portfolio proposal to the company board of directors.
I’ll be creating two financial analysis tools with a single Jupyter notebook: A financial planner for emergencies and retirement.
My team brainstormed and developed a business idea, wrote a partial business plan, developed a marketing strategy and designed and developed an Access database. This was created in Summer 2022.
I will create a Jupyter notebook encompassing the data preparation, analysis, and visualizations required to provide the company with a comprehensive understanding of all relevant time series data.
In this assignment, I'll use numerical/visual aggregation, interactive visualizations, widgets, and explore the geospatial relationships in the data by using interactive visualizations with hvPlot and GeoViews.
I will apply my new SQL skills to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.
I will create a Solidity smart contract to manage joint savings accounts for two users, facilitating shared control and enabling both deposits and withdrawals.
I will incorporate Ethereum transaction functions into the KryptoJobs2Go application. Then, I will proceed to sign and execute a payment transaction using the integrated functions. Finally, I will inspect the transaction details within Ganache to verify its successful execution.
Our tool leverages machine learning models to aid lenders in making informed decisions, ensuring borrowers achieve their goals without encountering financial strain. By assessing borrowing capacity, we mitigate risks and facilitate successful lending outcomes.
Learning how to analyze correlations between stocks, calculate rolling statistics and beta of stocks, optimize a portfolio, and compare portfolio performance.
I'm combining my new algorithmic trading skills with my existing expertise in financial Python programming and machine learning to build an algorithmic trading bot. This bot will learn from new data and changing market conditions, continuously adapting to improve its trading strategies.
A way to both track your spending as well as set savings goals (incorporates data analysis and financial decision making).
Our goal is to create a simple tool using machine learning to help people understand how NFT prices work, specifically focusing on the Pudgy Penguins collection!
I'll be combining my newly acquired skills in algorithmic trading with my expertise in financial Python programming and machine learning. Together, I'll develop an algorithmic trading bot capable of learning from new data and adjusting to changing market conditions.
In this assignment, I will apply the concepts I have learned to complete the required PyBank Python activity and, if I wish to stretch my skills even further, the optional PyRamen Python activity. Both activities present a real-world situation in which my newfound Python skills will come in handy.
To forecast the success of Alphabet Soup funding applicants, I will develop a binary classification model utilizing a deep neural network.
In this assignment, I'll get to use what I've learned this week to evaluate the performance among various algorithmic, hedge, and mutual fund portfolios and compare them against the S&P 500 Index.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent