Experience: Software Engineer / Data Scientist Smugglers Data Company Designed and implemented an intelligent employee scheduling system to optimize shift assignments based on availability, preferences, peak hours, and company-defined rules, improving operational efficiency by reducing understaffed hours. Built a demand estimation model using machine learning techniques and historical data to predict short-term and long-term product demand, enhancing inventory planning and reducing overstocking. Developed an inventory anomaly detection system to automatically flag unusual stock movements, enabling proactive loss prevention and accurate inventory management. Integrated real-time adjustments and automated model retraining pipelines to maintain high system reliability and responsiveness. Collaborated cross-functionally with operations and management teams to align data-driven systems with business goals.
Speciality: python Developer
Description
As a versatile Software Engineer and Data Scientist, I design and build intelligent systems that solve real-world problems with precision and reliability. From developing dynamic employee scheduling solutions and demand forecasting models to automating anomaly detection in inventory, I deliver data-driven tools that enhance operational efficiency and decision-making. My ability to integrate real-time adjustments, automate processes, and align technical solutions with business needs consistently earns trust and drives results. I’m known for being dependable, detail-oriented, and committed to delivering high-quality outcomes on time—every time.
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