Umesh Pujari

About Umesh Pujari

Having total of 12+ Yrs. of Experience as a Data Scientist in Machine Learning, AI, Deep Learning, Statistics, Predictive Modeling, NLP, Text Processing, Anomalies Detection, Time Series, Exploratory Data Analysis, Hypothesis Testing, Data Cleaning, ETL, Warehousing, SQL Server, and ERP.• 5+ Yrs. of Experience in Preparing Interactive-Dashboards, Analytics, Regression Models, Product & Operational Improvement and Quality Assurance.• 2 Yrs. of Experience working at Manufacturing facilities Handling and Researching Supply Chain Issues, Cross-Functional Team Co-ordination, Inventory Management and Forecasting.• Expertise in Project Management, Issue Management, Change Management. Led multiple NPD projects (USD $2M+) with Scope, Budget, and Schedule Responsibilities and Achieved 95.5% On- schedule and 96.4% On-budget KPIs.

Experience

1. Senior Data Scientist

   Alta It Services, Llc

   Jan 2024 — Present · Vienna, VA, US

   Client: NFCUSecurity Governance and Regulatory – High performance Data Pipelines, ETL, Log analytics and architectural decisions.Description: In my current role as a Data Engineer, I focus on modernizing an on-premises architecture by migrating to Azure. This involves creating new data pipelines and contributing to architectural decisions that enhance data acquisition and management across the organization. I am responsible for designing, building, and integrating data from various sources while ensuring high performance and data quality.Responsibilities:• Led the migration of on-premises data architecture to Azure, developing new data pipelines and integrating cloud services.• Designed and implemented strategies for data acquisition and database management, focusing on scalability and performance.• Built and maintained high-performance data pipelines using Azure Data Factory, Logic Apps, Azure Functions, Databricks, Azure SQL and Azure Data Lake storage.• Solved complex data challenges by taking a broad perspective to identify innovative solutions.• Developed conceptual and logical data models for stakeholders, ensuring alignment with business needs and data warehousing best practices.• Ensured data quality through continuous improvement initiatives, monitoring, and validation processes.• Contributed to architectural decisions and system evaluations to optimize data infrastructure.• Utilized strong SQL skills to design ETL processes, maintaining and updating data in both on-premises and cloud environments.• Collaborated with teams using GIT for source control to streamline development processes.Technology & Tools:Azure Data Factory, Azure Databricks, SQL, Azure Cosmos DB, Data Warehousing concepts, ETL best practices, GIT, Python, Apache Spark.

Education

• East Texas A&M University

  Master of Science - MS , Data Science | Business Analytics

• PDA College of Enginnering , Gulbarga

  Bachelor of Engineering (B.E.)

• RKT College , Ulhasnager

  HSC, Physics, Chemistry, Mathematics and Biology