RagulRajkumar
Data Analyst & ML Engineer | Python, SQL & Excel
New to Contra
RagulRajkumar is ready for their next project!
Built a real-time object detection system using YOLO model and deployed it as a REST API using FastAPI in Render. Clients can send images via API and receive detected objects in response - production-ready and scalable. And also using Gradio deployed the model in HuggingFace.
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Built a cryptocurrency price prediction model using time series analysis and deep learning (LSTM). Compared multiple forecasting approaches to predict future crypto prices with performance evaluation metrics.
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Segmented 38,997 customers from a 51,290 row e-commerce dataset using KMeans clustering in Python (scikit-learn). Identified 4 distinct customer groups -Frequent Buyers, High Value, High Margin, and Low Value - with actionable business recommendations for targeted marketing campaigns.
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Took a raw e-commerce dataset of 51,290 rows and cleaned it using Python (pandas) — fixed null values, removed outliers, standardised inconsistent categories and added derived metrics like profit margin and revenue after discount.
Built a 4-chart Excel dashboard with live KPI summaries showing total revenue ($5.4M), total profit ($3.6M), average profit margin (42.53%) and key business insights across product categories, order priority, monthly trends and payment methods.
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