Devvrat Mungekar

🌐 Data Science & Cloud Computing Enthusiast | Machine Learning & Data Integration 🌐 With hands-on experience at the forefront of machine learning, cloud computing, and big data analytics, I have transformed complex data into actionable insights across diverse sectors, adding up to two years. In the role of Data Scientist at LTIMindtree Canada, the Azure ecosystem is harnessed to drive impactful solutions, streamline data operations, and improve client project efficiency. 💡 Technical Expertise & Responsibilities: This role involves managing the end-to-end machine learning pipeline, utilizing Azure Python SDK v2 to connect to various data stores, including Azure Data Lake Gen 2 (ADLS Gen 2), Azure SQL, and Azure Cosmos DB. Experience includes deploying LLM models such as Hugging Face, Llama, and Azure OpenAI. Key responsibilities cover: • Overseeing compute instances, clusters, and Azure Kubernetes deployments • Leading model registration, maintaining Prompt Flow jobs, and crafting custom Docker scripts for environment configuration • Utilizing Azure Data Factory to integrate and trigger data flow pipelines with services like Azure Databricks, HD Insights, and Azure Synapse Analytics These efforts have driven measurable success, achieving a 25% reduction in project delivery time, a 20% improvement in prediction accuracy, and a 60% increase in the performance of data-driven solutions. 📘 Passion for Teaching & Mentorship: As a Teaching Assistant at Trent University, I enjoy guiding students in SQL, NoSQL, and machine learning pipelines to help them excel in their coursework, with a 99% success rate. I also support faculty with research projects, utilizing R for data analysis and presenting findings to stakeholders. Core Skills: • Programming: Python, PySpark, R, Java, Shell Scripting • Cloud & DevOps: Azure OpenAI, Azure Computer Vision, Azure Language Studio, Azure Speech Studio, ADLS Gen 2, Azure Machine Learning, Azure Data Factory, Azure PostgreSQL, Azure Synapse Analytics, Azure Databricks, GitHub, Heroku, Docker • Databases & Tools: SQL (MySQL, PostgreSQL), NoSQL (MongoDB), Azure SQL, Azure MySQL, Azure PostgreSQL, Azure Cosmos DB I'm always eager to connect with like-minded professionals on innovative projects or discuss trends in data science, cloud computing, and machine learning. Let's connect and explore potential opportunities for collaboration!