Founding AI Engineer | SaaS Systems Architect | Next.js, Supabase, LLMs | 6+ Production Products | Remote Role Seeker | LinkedIn: afraz-analytics
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Founder | Open to Full-Time Remote Roles
Data Scientist
June 24, 2026 – Present
16_AI-Powered_Sales_Prediction_Dashboard
August 23, 2025 – August 23, 2025
AI-Powered Sales Prediction Dashboard: An end-to-end solution using MySQL, Python Prophet, and Power BI to deliver interactive, AI-driven sales forecasts with confidence intervals and actionable insights.
View Project12_AI_Powered_Profit_Optimization_Dashboard_for_Retail_Business
August 23, 2025 – August 23, 2025
AI-powered retail profit optimization dashboard using Python, PyCaret, SQL, and Power BI for actionable insights and forecasting.
View Project11_AI-Driven_Customer_Retention_Revenue_Performance_Dashboard
August 23, 2025 – August 23, 2025
AI-Driven Customer Retention & Revenue Performance Dashboard: Predictive Power BI solution for churn analysis, revenue forecasting, and interactive business insights.
View Project10_US_Retail_Sales_Dashboard
August 23, 2025 – August 23, 2025
An AI-powered Power BI dashboard for US retail sales, providing interactive KPIs, trend analysis, and geographic insights to enable fast, data-driven decision-making.
View Project07_AI-Enhanced_Retail_Analytics_and_Sales_Prediction_Dashboard
August 23, 2025 – August 23, 2025
AI-Enhanced Retail Analytics & Sales Prediction — An end-to-end BI solution integrating MySQL, Python, and Power BI to clean, model, and visualize retail data. Delivers predictive sales forecasting, pricing insights, and interactive executive dashboards for data-driven decision-making.
View Project06_Snitch_Fashion_Sales_Performance_Dashboard
August 23, 2025 – August 23, 2025
Branded Power BI dashboard for Snitch Fashion, with Python-cleaned data, DAX-driven KPIs, and luxury-themed sales insights on customers, products, and profitability.
View Project05_Amazon_Sales_Returns_AI_Prediction_Dashboard
August 23, 2025 – August 23, 2025
End-to-end Power BI and Python solution simulating Amazon sales data, with AI-powered LightGBM model predicting product returns and interactive dashboards for business insights.
View Project04_AI_Powered_Supply_Chain_Optimization_and_Risk_Prediction_Dashboard
August 23, 2025 – August 23, 2025
AI-powered Power BI dashboard for supply chain optimization, vendor performance, inventory monitoring, and risk prediction using machine learning.
View Project03_AI-Powered_Sales_Forecasting_And_Performance_Dashboard
August 23, 2025 – August 23, 2025
AI-powered Power BI dashboard integrating AutoML and Python for sales forecasting, performance tracking, and strategic business decision-making.
View Project02_AI-Powered_Global_Sales_Analytics_Dashboard
July 31, 2025 – August 23, 2025
End-to-end Power BI and AI solution for global sales insights, forecasting, performance tracking, and data-driven business decisions.
View ProjectCultural Fit Analysis
The candidate's projects are highly aligned with the 'Data Scientist' target role, demonstrating a clear passion and practical experience in the field. The consistent use of AI/ML in various business contexts (retail, sales, supply chain) shows a strong problem-solving orientation. However, the projects are all personal and lack diversity in team collaboration or enterprise-level challenges, which might indicate a gap in experience with larger organizational structures or diverse project types beyond dashboard creation. The 'Founder' role with a start date in the future (2026) and no past experience listed raises questions about current professional engagement and real-world team dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on delivering actionable business insights through data, suggesting a results-oriented approach. The consistent theme of 'AI-powered' solutions points to an interest in leveraging advanced analytics. However, without psychometric test results, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.