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● Built and deployed end-to-end ML pipelines using Python for data ingestion, preprocessing, training, and inference.
● Managed Azure services (Blob Storage, Azure AI Search, Azure Functions, Azure Container Registry, AI Foundry) using Azure CLI & SDK.
● Implemented CI/CD pipelines for AI services, improving deployment reliability and scalability.
● Developed GenAI PoCs, including prompt engineering and LLM-powered automation solutions.
● Extract and analyze API data, transforming JSON and XML into structured datasets using Python for analysis, and making API Flow.
● Utilized JIRA to manage task sprints and monitor employee punch-in/punch-out times, enabling effective tracking of work hours and task progress. Collected and stored attendance data, which was then cleaned, preprocessed, and transformed for analysis.
● Helping HR in creating attendance data for salary distribution, and helping the market team make reports according to their requirements.
● Utilize Machine Learning Models in Finance Data Prediction and Software Development to Predict Categories of API Security Problems (A1-A8).
● Mentored interns and junior analysts, providing guidance on API data extraction, Python-based analytics, and structured reporting.
● Developed and executed assignments in Python, SQL, and statistics for a global student community.
● Created data visualizations and dashboards using Tableau and Power BI for US-based universities.
● Collaborated on machine learning projects to improve educational resources and insights.
● Conducted one-on-one doubt-clearing sessions with students to address their queries and support their learning effectively.
● Automated data tasks and performed analysis using SQL, Excel, Python, and Tableau.
● Supported exploratory data analysis and visualization tasks for academic and business datasets.
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