YUKTHIKA MUPPANENI

DATA ANALYST

Data tells a story - I translate it

About

I turn raw data into powerful stories that drive decisions. With 3+ years of experience in analytics, I blend SQL, Python, machine learning, and big data technologies to uncover hidden patterns and insights. Whether it's building predictive models, optimizing ETL pipelines, or crafting interactive dashboards with Tableau and Power BI, I thrive on making data work smarter and more impactful!🚀

My Resume

Contact Me

WORK

This is my 3+ years of experience in different sectors such as insurance, banking, and healthcare sectors.

Data Analyst II

Nationwide Insurance

(April 2024 - Present)

As a Data Analyst in the insurance industry at Nationwide Mutual Insurance, I gained extensive experience in analyzing complex insurance data to improve claims processing, underwriting, and customer insights. I developed and optimized SQL queries, ETL pipelines, and data models to streamline data integration and enhance reporting accuracy. Using Power BI and Tableau, I created interactive dashboards that provided real-time visibility into key insurance metrics.

Data Analyst

Doha Bank

(Sept 2022 - Jul 2023)

At Doha Bank, I gained valuable experience in the banking and finance sector as a Data Analyst, working with complex financial data to support decision-making and operational efficiency. I developed expertise in SQL, Python, and ETL tools like Azure Data Factory for data extraction and transformation. I created interactive dashboards in Power BI and Tableau, applied machine learning for financial forecasting, and worked with big data technologies like Hadoop and Spark.

Data Analyst

PharmEasy

(May 2021 - Aug 2022)

Working at PharmEasy, I had the unique opportunity to dive deep into the healthcare industry, where I learned to harness data to improve customer experience and drive business growth. I used SQL, Python, and APIs to collect, extract, and integrate data from various healthcare systems, ensuring smooth data flow and accuracy. I developed data models, performed data cleansing and validation with Python and SQL, and created interactive dashboards and reports in Tableau and Power BI to support decision-making.