Crypto trading bot using Binance API (Java)

Prediction of yield and profitability of crop records of India for the agricultural sector using machine learning techniques

In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.

In this Python notebook, we explore how K-Means can be used for customer segmentation to gain a competitive advantage and improve a business's bottom line.

Deployed Streamlit Stock Fundamental Analysis App

The Food Delivery Cost and Profitability Analysis is a thorough assessment designed to comprehend and enhance the financial dynamics of a food delivery operation.

Use the Python tool pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.

This repo analyzes the profitability of approving a bank loan for two projects by using Monte Carlo Simulation. Based on a Harvard Business Review case study, it considers cash flow uncertainty and investment returns. The analysis simulates various scenarios, offering insights for informed decision-making on the loan's potential profitability.

We use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.

This is an open source project to improve how SME organizations integrate the open way and enable a sustainable digital journey

View my industry practicum for predicting amazon profitability and trade optimization using SKU bundling strategy - for a New York based Fortune 200 CPG company's ECommerce Analytics and Insights team

⛏️ Get a message on telegram with the profitability of your miner

This repo is about actionable insights to boost your product and sales performance.

This application keeps you mine years ahead by optimizing the life of a mine ⛏️

Simulate profitability about mining-pool

Shein, a clothing brand, is using data analytics to design its strategy for 2024. The purpose of this analysis is to help the company enhance customer experience and grow market share focusing on increasing revenue and profitability by understanding consumer trends.

This repository supports the Marvel Mart Project, focusing on data analysis within a retail context. It targets data scientists and IT professionals, offering Python scripts, insights, and methodologies for data cleaning, sales analysis, and exploratory data analysis to enhance business decisions.

This repository is a partial fulfilment of the requirements for the module of MSIN0114: Business Analytics Consulting Project/Dissertation for UCL School of Management.

This repo wholesomely analyses fortune 2000 companies year 2020.It deducts aspects like profit ratios, correlations between variables, profitable/non-profitable companies and performs a regression analysis. It also groups insights into countries and continents.