Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Megha Ghosh is a Data Analyst at Infinx with a strong background in data analysis, databases, and analytics. She focuses on leveraging data to streamline processes and improve decision-making, particularly in healthcare and IT environments. Her expertise includes building and automating ETL pipelines, optimizing complex SQL queries, and utilizing tools like Python, PySpark, and AWS to create scalable data solutions. Megha is known for transforming raw data into actionable insights through user-centric dashboards and clear data storytelling, driven by a commitment to solving business challenges through data-driven strategies and continuous learning.
Megha Ghosh's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Developed scalable ETL pipelines using Python and PySpark to transform raw data into actionable insights at Infinx.
Optimized complex SQL queries and designed user-centric dashboards to streamline data processes and enhance operational efficiency.
Leveraged AWS tools like Glue, Athena, and QuickSight to handle big data and improve operational efficiency within the company.
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Infinx provides AI-powered solutions for healthcare revenue cycle management, helping providers maximize revenue and optimize workflows. They offer automation and analytics solutions for prior authorization, eligibility verification, claims management, and denial management.
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