Neha Bhutkar
Data Analyst at Select Sires| Power BI • SQL • Databricks • Data Engineering | Data Storytelling that Turns Complex Data into Business Decisions |
- Role
- Data Analyst at Select Sires Inc.
- Location
- Union City, NJ, US
- LinkedIn followers
- 500 followers
About Neha Bhutkar
I\'m Neha Bhutkar, a dedicated Master’s student in Information Systems at Northeastern University, embarking on an exciting journey into the realm of data narratives. My enthusiasm lies in transforming data into compelling stories, a passion that has shaped my exhilarating academic voyage.In my role as a Research Administrator, I transcended mere number-crunching. Utilizing Tableau, I breathed life into data, orchestrating a 45% acceleration in the award acceptance process. Beyond the technical landscape, I derive fulfillment from team leadership, data process optimization, and fostering collaboration.Equipped with Python, Java, and an array of data tools, I am proficient in ETL pipelines, insightful data analysis, and crafting models that weave captivating narratives. Eager to integrate this fusion of technical expertise into data-driven initiatives. For behind every data point lies an untold story.Let\'s collaboratively craft meaningful data tales!
Experience
Data Analyst
Aug 2024 — Present · NY, US
Built an Azure Databricks Lakehouse using Medallion Architecture to unify genetic data, cutting compute costs by 20% via Delta table partitioning.• Automated classification of carcass trait notes using OpenAI SDK (LLMs), reducing manual review time by 70% and enabling automated downstream analysis.• Centralized KPI logic into governed Power BI semantic models, reducing ad-hoc reporting requests by 45% leading to standardized, validated datasets.• Streamlined deployments using Azure DevOps CI/CD, ensuring 100% consistency for SQL and DAX assets across environments.•Created automated Revenue Alerts via Power Automate to flag sales drops 20% for immediate executive review.•Developed Python data quality pipelines to audit inventory tables, reducing manual audit hours by 80% via automated root-cause analysis.•Optimized PySpark jobs for million-row datasets, improving data traceability by 95% and reducing pipeline failures.
Education
Dr. Babasaheb Ambedkar Technological University
Diploma, Computer Engineering
Northeastern University
Master's degree, Information Systems
Pillai HOC College of Engineering and Technology
Computer Science
2015 — 2018
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