ayush1695 / predict_future_sales_spring-capstone

Aim of this project is to develop a robust predictive model for accurately forecasting product sales across multiple shops, even under conditions of varying shop and product availability. This project will utilize a real-world dataset containing daily historical sales data, spanning January 2013 to October 2015, along with other supplemental info.

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Brief Profile Summary: 👉 Graduate student with close to 5 years of prior Data Science experience in delivering data-driven solutions using cutting-edge AI/ML to healthcare & CPG behemoths. 👉 Worked on real world problem statements majoring recommendation system, payment leakage detection, spend optimization, driver analysis and sales forecasting, image classification, fraud detection, Named Entity Recognition and many more. 👉 Helped organizations generate/save more than $10 M in value realization to date. Skilled in solving complex problems using right mix of technical & business skills. 👉 Data Science Fanatic 🤟 👉 Kaggle Master

My Day-to-Day Work Glimpse:

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What I hope to achieve:

---Complete ML Life Cycle Architect--

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