Manal Naik

Data Analyst, Binary Data Labs, August 2023-Current

• Analyzed extensive datasets (10M+ rows) using SQL and Python, identifying trends, patterns, and correlations for actionable business insights.
• Provided data-driven solutions to support decision-making processes.
• Leveraged SQL queries to efficiently handle large volumes of data, ensuring seamless extraction, transformation, and loading into databases.
• Integrated Blockchain APIs into existing systems, enhancing functionality and data accessibility.
• Conducted web scraping for data collection and analysis, contributing to insightful reporting.
• Automated data transformation processes using dbt scripts and ELT pipelines, significantly reducing processing time and improving accuracy.

• Python Programming
• SQL
• Git/Github
• Exploratory Data Analysis
• DevOps
• Data Mining

• Bachelor of Engineering Technology, University Of Mumbai, May 2022

• DevOps Mastery
• Python and SQL: Unlocking Data-Driven Insights

Crypto Yield Optimization Dashboard Uniswap V3

• Developed a comprehensive SQL-based dashboard for Uniswap V3, incorporating window functions, joins, case statements, and subqueries.
• Implemented advanced data visualization techniques to provide in-depth analytics on cryptocurrency investments.

Yammer Analytics Philosophy

• Analyzed datasets with a hypothesis-driven approach to enhance user engagement, optimize search functionality, and validate A/B testing strategies within the Yammer platform.

End-to-End eCommerce Data Scraping with ELT Integration

• Orchestrated project flow, conducted research, and implemented Pipenv shell for streamlined dependency management.
• Executed data mining with Scrapy, performed data cleaning with Python and Pandas, and integrated with DLT library to push data to DuckDB.