Claude Skills For Sales Optimization

Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.

🚀 AI Sales Brain - Intelligent conversational AI assistant that helps sales teams automate workflows, prepare meetings, handle objections, and close more deals through natural Chinese conversation

AI sales agent that builds psychological digital twins of prospects and runs Monte Carlo simulations to find the optimal sales strategy. Cold email optimizer, sales call simulator, AI prospecting tool. Sponsored by HappyCapy.

📊 Smart pricing calculator for Vinted sellers - optimize your listings based on storage, seasonality, and market dynamics

AI-powered CRM and marketing automation system for lead management, outreach, and conversion optimization.

This repository contains the projects completed during my internship at Brainwave Metrix Solution. The projects focus on data analysis, sales optimization, and sentiment analysis using tools like Python and Jupyter Notebook. Each project is designed to provide actionable insights through data-driven solutions.

Optimizing sales channel engagement with Deep Reinforcement Learning to maximize conversions while minimizing spam and contact costs.

Analyse des données de ventes pour identifier des opportunités d'amélioration des performances commerciales. Utilisation de Pandas pour le traitement des données, et Matplotlib/Seaborn pour la visualisation des tendances et des résultats.

Shopify API AI Chatbot solution automation

A Python script to analyze sales performance using Pandas and Matplotlib. Loads, cleans, and visualizes sales data, calculating key metrics (total sales, average order value, unique customers) and generating trends (monthly sales, product category performance). Includes error handling for robust execution.

ML-powered channel optimization engine for pharma sales reps. Engagement-based NBA with XGBoost propensity models, Streamlit dashboard, and synthetic data for the German pharma market.

Sales data analysis using Excel and Python to identify key performance metrics and optimize business operations.

The goal of this analysis is to uncover actionable insights from a fast food restaurant's sales data to drive smarter business decisions. By analyzing item performance, peak sales times, and transaction patterns, the objective is to recommend strategies that increase revenue, optimize operations, and improve customer engagement.

A web-based Sales Analysis System designed to provide insights into sales performance. Features include daily sales tracking, sales vs labor analysis, trend reports, and forecasts. Built with React, .NET, and MS-SQL for real-time data visualization and actionable reports to optimize sales strategies.

Simulate sales conversations with AI to model prospects, test outreach, and find the best email strategy before sending.

📊 Optimize sales revenue by analyzing retail performance with SQL, Python, and Power BI to drive informed business decisions and improve profitability.