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

Deployed Streamlit Stock Fundamental Analysis App

No description provided.

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.

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.

Claymore Dual Miner allows simultaneous mining of multiple cryptocurrencies, optimizing your mining profits while efficiently using GPU resources. ⛏️💰

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

AI-powered GPU mining optimizer with deep learning tuning, real-time profitability tracking, predictive coin switching, and automated hardware management. Maximize hashrate efficiency and mining profits.

A Power BI project analyzing sales, profit, customers, regions, products, and shipping performance of a retail superstore. The dashboard provides a 360° view of business performance with KPIs, trends, and actionable insights.

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

E-Commerce Sales Analysis

No description provided.

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

SQL analysis of retail sales data identifying key business insights and opportunities

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.

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

Profitable App Profiles for the App Store and Google Play Markets Our aim in this project is to find mobile app profiles that are profitable for the App Store and Google Play markets. We're working as data analysts for a company that builds Android and iOS mobile apps, and our job is to enable our team of developers to make data-driven decisions with respect to the kind of apps they build. At our company, we only build apps that are free to download and install, and our main source of revenue consists of in-app ads. This means that our revenue for any given app is mostly influenced by the number of users that use our app. Our goal for this project is to analyze data to help our developers understand what kinds of apps are likely to attract more users.

Descriptive analytics project examining how key business factors influence profitability and revenue for the online retailer Office Mate.

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

Exploratory Data Analysis of a Coffee Chain dataset using Python (pandas, matplotlib, seaborn).

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.

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

Autonomous GenAI Agent for Superstore profitability analysis. Features advanced Function Calling to execute custom EDA tools, synthesize charts, and generate executive-ready reports.

Data-driven analysis of U.S. airline routes — identifies profitable routes, breakeven metrics, and KPI insights using Python, pandas, and visualization.

Анализ юнит-экономики и бизнес-моделей: CAC, LTV, когортный анализ и оценка прибыльности цифровых продуктов.

End-to-end Sales Analysis focused on profitability and financial risk identification. Using SQL for data validation and Power BI to analyze the impact of discounts on net profit across regional segments.

Product line profitability contribution margin

Analyze the profitability of Polish stock-listed companies using Python and SQL. The project includes financial ratio calculation, data visualization, and SQL queries for use in MySQL databases.