I am a data analyst with 2 years of hands-on experience designing, building, and deploying production-grade AI and machine learning applications on Azure Databricks and Azure Cloud infrastructure. I have strong expertise in PySpark, SQL, and end-to-end ETL/ELT pipelines, with practical experience integrating ML and Generative AI workloads into scalable production systems. I have a proven ability to operationalize models from experimentation to deployment using Databricks workflows, implementing monitoring, logging, performance tuning, and cost optimization. I am experienced in collaborating with data scientists, platform engineers, and business stakeholders to deliver reliable, governed, and maintainable AI solutions.

Neha Gowda

I am a data analyst with 2 years of hands-on experience designing, building, and deploying production-grade AI and machine learning applications on Azure Databricks and Azure Cloud infrastructure. I have strong expertise in PySpark, SQL, and end-to-end ETL/ELT pipelines, with practical experience integrating ML and Generative AI workloads into scalable production systems. I have a proven ability to operationalize models from experimentation to deployment using Databricks workflows, implementing monitoring, logging, performance tuning, and cost optimization. I am experienced in collaborating with data scientists, platform engineers, and business stakeholders to deliver reliable, governed, and maintainable AI solutions.

Available to hire

I am a data analyst with 2 years of hands-on experience designing, building, and deploying production-grade AI and machine learning applications on Azure Databricks and Azure Cloud infrastructure. I have strong expertise in PySpark, SQL, and end-to-end ETL/ELT pipelines, with practical experience integrating ML and Generative AI workloads into scalable production systems.

I have a proven ability to operationalize models from experimentation to deployment using Databricks workflows, implementing monitoring, logging, performance tuning, and cost optimization. I am experienced in collaborating with data scientists, platform engineers, and business stakeholders to deliver reliable, governed, and maintainable AI solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Data Analyst (Retail Operations) at Tesco
April 1, 2024 - Present
Led end-to-end data analytics and reporting projects using SQL, Python, and Power BI; designed interactive dashboards tracking KPIs (sales, inventory, SLA) and reduced manual reporting time by 40%. Built robust ETL/ELT workflows ingesting retail, HR, and logistics data into Azure Data Lake Storage Gen2; automated refresh cycles with Power Query and Azure Data Factory, cutting processing time by 35%. Collaborated with data scientists to prepare ML-ready datasets and supported model training/deployment workflows. Developed reusable PySpark and SQL modules to standardize transformations and improve maintainability. Delivered analytical and predictive insights reducing overtime costs by 12% and product waste by 10%. Built interactive team performance dashboards and supported data migration to Azure Data Lake with data validation for reporting pipelines.
Data Analyst at VeeVee Controls Pvt Ltd
September 1, 2022 - August 1, 2023
Analyzed and organized business and HR operational datasets (over 500K records) using Excel, Power Query, and SQL to ensure clean, structured data for reporting and analytics. Designed and maintained interactive Power BI dashboards and Excel reports to track KPI performance, productivity, and process efficiency, reducing reporting turnaround time by 40%. Built and automated ETL data pipelines in Python and SQL, integrating data from Workday, project trackers, and finance databases, improving reporting efficiency by 30% and achieving 99% data accuracy in production datasets. Collaborated with operations, HR, and finance teams to model business processes into scalable data models and optimized reporting logic, aligning analytics with business goals.

Education

Master of Science (Data Analytics) at Dublin Business School, Dublin
January 11, 2030 - December 27, 2025
Bachelor of Engineering (Electrical and Electronics) at Visvesvaraya Technological University, India
January 11, 2030 - December 27, 2025

Qualifications

AWS Certified Cloud Practitioner (CLF-C02)
January 11, 2030 - December 27, 2025
Data Analytics Certification (Udemy)
January 11, 2030 - December 27, 2025
SQL Programming Basics (Udemy)
January 11, 2030 - December 27, 2025
Microsoft Power BI Data Analyst (Udemy)
January 11, 2030 - December 27, 2025
Data Engineer Master Program (TrendyTech)
January 11, 2030 - December 27, 2025

Industry Experience

Retail, Software & Internet, Professional Services