Jay Patel
Data Analyst @ M&T Bank | Master of Computer Science
- Role
- Data Analyst at M&T Bank
- Location
- Edison, NJ, US
- LinkedIn followers
- 500 followers
About Jay Patel
I am a Data Analyst with over 4 years of proven experience in transforming raw data into actionable insights through a strong command of statistical modeling, data visualization, and machine learning. My work has supported strategic decision-making across banking and enterprise technology sectors, with a strong focus on automation, performance optimization, and predictive analytics. Currently pursuing a Master’s in Computer Science at Pace University (NY), I bring hands-on expertise in Python, R, SQL, Power BI, Tableau, and cloud platforms like AWS and Azure. I’ve built scalable ETL pipelines, deployed ML models using Amazon SageMaker, and delivered data visualizations that improved reporting accuracy and business responsiveness. Technical Proficiencies: • Languages & Tools: Python, R, SQL, Scikit-learn, TensorFlow, NumPy, Pandas, Power BI, Tableau • Databases: PostgreSQL, MySQL, MongoDB • Big Data: Hadoop, Spark, Kafka, Hive • Cloud & DevOps: AWS (S3, EC2, Redshift, SageMaker), Azure • ETL & Reporting: SSIS, Talend, OLAP, Ad-hoc Reporting With a strong foundation in both data science and business analytics, I excel at bridging the gap between technical data systems and real-world business outcomes. Let’s connect if you\'re seeking a data analytics professional who delivers data-driven impact at scale. NJ, USA | j••••••••@gmail.com
Experience
Data Analyst
Oct 2024 — Present
Analyzed raw data, developed recommendations, and wrote SQL scripts to manipulate data for data loads and extracts. • Published and maintained workspaces in Power BI Service, allotted a time refresh for the data.• Designed ETL architecture for overall data transfer from the source server to the Enterprise Services Warehouse, which encompasses server name, database name, accounts, tables, direction of data flow, Column Mapping, and Metadata. • Implemented AWS Step Functions to automate and orchestrate the Amazon SageMaker-related tasks such as publishing data to S3, training the ML model, and deploying it for prediction. • Performed data analysis and transformation using PostgreSQL, leveraging CTEs for optimized query performance.• Performed detailed analysis of business problems and technical environments and used this data in designing the solution and maintaining data architecture.
Education
C. B. Patel Computer College (veer narmad south gujarat university)
BCA
2016 — 2019
Auro University
Use Cases of Machine Learning in Finance Services on 28/07/2020
2020 — 2020
Pace University - Seidenberg School of Computer Science and Information Systems
Master of computer Science
2024 — 2025
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