Cloudblue Connect tasks for Intern Program
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Updated
Jul 26, 2021
Cloudblue Connect tasks for Intern Program
AI-Powered Sales Forecasting Dashboard (Future Interns ML Task 1) using Python, SARIMA, and Streamlit.
Interactive Power BI dashboard analyzing UK-based e-commerce sales (2009–2011). Includes data cleaning, trend analysis, and insights on best-selling products, peak sales periods, revenue by category, and customer behavior to support business decision-making.
AI-powered UGC Content Marketing project using Prompt Engineering for Instagram, Facebook & YouTube Ads.
A clean, responsive, dark-themed personal portfolio built for Task 1 of the Future Interns Full Stack Web Development Internship. Showcases projects, skills, certifications, and includes a dedicated projects page, contact form, and GitHub Pages deployment.
Marketing Funnel & Conversion Analytics Dashboard using Python and Power BI. Analyzed customer conversion journeys, funnel performance, campaign outcomes, and marketing KPIs through data cleaning, preprocessing, and interactive dashboard visualization.
An automated NLP & Machine Learning candidate screening system built with Python, Scikit-learn, and spaCy. Features text preprocessing, skill extraction, TF-IDF vectorization, cosine similarity ranking, and skill gap identification for HR decision support.
ML system that automatically classifies support tickets into 10 departments and predicts priority levels (High/Medium/Low). Built for Future Interns Task 2.
Sales & Demand Forecasting for Businesses using Machine Learning
Business Sales Performance Analytics project completed as part of the Future Interns Data Science & Analytics Internship. This project analyzes Superstore sales data to identify revenue trends, regional performance, category profitability, and top-performing products using Python and data visualization techniques.
Data Science Internship Projects – Sales Analytics, Customer Churn Analysis, and Marketing Funnel Analysis using Power BI and Python
Task 1 for Future Interns Machine Learning Internship. An AI-powered sales forecasting dashboard using Python (Prophet) and Power BI.
Customer Retention & Churn Analysis using Python and Tableau | Future Interns Data Science Internship Task 2
Marketing Funnel & Conversion Performance Analysis using Python | Future Interns Data Science Internship – Task 3
E-commerce Sales Dashboard for Future Interns Data Science & Analytics Internship
Time-series sales and demand forecasting pipeline built with Python, Feature Engineering, and XGBoost for the Future Interns Machine Learning track (Task 1).
Customer Retention & Churn Analysis | Future Interns Data Science & Analytics Internship
Web Application Security Testing project evaluating the OWASP Juice Shop platform and executing automated vulnerability scans with OWASP ZAP for the Future Interns Cybersecurity Internship (Task 1).
Professional Vulnerability Assessment using Nmap & OWASP ZAP | Future Interns Cyber Security Internship
Customer retention and churn analysis project using SaaS subscription data. Includes cohort analysis, churn patterns, customer lifetime trends, dashboard visuals, and business recommendations.
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