Rushikesh Chavan
AI Engineer helping startups turn complex data into insights
New to Contra
Rushikesh is ready for their next project!
Built a deep learning image classification system to identify different varieties of rice grains using transfer learning with MobileNetV2.
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Telecom Customer Churn Prediction using Machine Learning
Exploratory data analysis and sample prediction output from a machine learning model designed to identify high-risk telecom customers.
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Snowflake Retail Analytics project
Designed a retail data warehouse using a star schema and performed SQL-based analytical queries in Snowflake to evaluate category-level sales performance and revenue trends.
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Rice Grain Classification using CNN & MobileNetV2
This solution highlights the application of computer vision in agricultural quality control and automation, enabling accurate and scalable grain classification.
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Exploring stress level patterns with interactive EDA in Python & Streamlit.
Key insights from the data help guide model building for accurate stress prediction.
Tech Stack: Python | Pandas | Matplotlib | Seaborn | Streamlit
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