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Data Analyst Quality

Location:
New York City, NY
Posted:
December 05, 2024

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Resume:

HIMALAY MODI

New York, NY 917-***-**** ***************@*****.*** https://www.linkedin.com/in/himalay-modi-a94090120/ Summary

Data Analyst with 3+ years of experience in SQL, Python, Tableau, and Power BI, specializing in data analysis, ETL processes, and building scalable data pipelines.Skilled in enhancing data integrity and delivering actionable insights to drive business impact across diverse industries.

Work Experience

Data Analyst August 2023 – August 2024

Labaton Keller Sucharow LLP. New York, NY

● Developed a Logistic Regression model to predict case outcomes achieving 85% accuracy in classifying whether plaintiff or defendant will win based on historical case settlement data.

● Led end-to-end data migration and ETL workflows, leveraging PySpark on Databricks to automate data ingestion and transformation, resulting in 25% reduction in data inconsistencies and enhanced data integrity.

● Leveraged Python and Azure SQL to preprocess and transform client datasets containing 500,000+ records, to identify and refine data quality with 95% accuracy.

● Collaborated with cross-functional teams to reconcile and validate case settlement data from multiple platforms, preparing comprehensive reports across 100+ cases. Business Data Analyst February 2022 - November 2022 Nomura Holdings Inc. New York, NY

● Led a client segmentation project using K-means clustering to categorize 500+ clients based on transactional behavior, enhancing personalized service offerings and reducing client churn by 15%

● Designed a machine learning model using Random Forest algorithm to detect suspicious transaction patterns, improving AML/KYC compliance process by 20%.

● Implemented and enhanced Client Lifecycle Management (CLM) within cross-functional teams, enhancing overall data integrity and reducing discrepancies before presenting reports to stakeholders and executives.

● Utilized in-house data investigation and discovery tools to scan datasets of 100,000+ records from various sources, implementing data quality checks and generating business insights for UAT and documentation. Data Analyst March 2021 - November 2021

Ralph Lauren Corp. New York, NY

● Modified business metric KPIs including Average Order Value (AOV) and Units Per Transaction (UPT), leveraging ETL procedures to evaluate customer shopping trends and support data-driven decision making.

● Performed in-depth data analysis using SAS SQL and Excel to manipulate large-scale customer spending data across multiple platforms, generating quarterly revenue projections that contributed to a 15% decrease in overall spending.

● Created data-driven reports and visualizations using Power BI, creating scatter plots and density charts to effectively communicate marketing strategies and campaign performance to senior management. Skills

Python (NumPy, Pandas, Scikit-learn, PySpark), SQL (MySQL, Azure SQL, Oracle), Machine Learning, Statistical Analysis, Alteryx, Power-BI, Tableau, Google Cloud Platform, Databricks, Docker, Jira, Confluence. Education

State University of New York at Stony Brook

Bachelors: Applied Mathematics and Economics

Harrisburg University of Science and Technology

Masters: Information Systems of Engineering and Management



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