Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Sai Sravya Pallothu, a data analyst with 3 years of hands-on experience turning data into actionable insights in financial services and banking. I specialize in SQL, Python, R, and advanced analytics to support business decisions, risk management, and regulatory compliance. I enjoy collaborating with cross-functional teams to translate complex data into clear, impactful insights. I design and automate ETL pipelines, data warehouses, and automated reporting using Azure Data Factory, SSIS, and AWS. I build interactive dashboards in Tableau and Power BI, leverage Snowflake and cloud platforms, and apply predictive modeling to optimize risk management, fraud detection, and customer retention. My goal is to deliver scalable analytics solutions that drive measurable business impact and informed executive decisions.…Hi, I’m Sai Sravya Pallothu, a data analyst with 3 years of hands-on experience turning data into actionable insights in financial services and banking. I specialize in SQL, Python, R, and advanced analytics to support business decisions, risk management, and regulatory compliance. I enjoy collaborating with cross-functional teams to translate complex data into clear, impactful insights. I design and automate ETL pipelines, data warehouses, and automated reporting using Azure Data Factory, SSIS, and AWS. I build interactive dashboards in Tableau and Power BI, leverage Snowflake and cloud platforms, and apply predictive modeling to optimize risk management, fraud detection, and customer retention. My goal is to deliver scalable analytics solutions that drive measurable business impact and informed executive decisions.

Sai Sravya Pallothu

Data Analyst, Data Scientist, AI Engineer, +2





Hi, I’m Sai Sravya Pallothu, a data analyst with 3 years of hands-on experience turning data into actionable insights in financial services and banking. I specialize in SQL, Python, R, and advanced analytics to support business decisions, risk management, and regulatory compliance. I enjoy collaborating with cross-functional teams to translate complex data into clear, impactful insights. I design and automate ETL pipelines, data warehouses, and automated reporting using Azure Data Factory, SSIS, and AWS. I build interactive dashboards in Tableau and Power BI, leverage Snowflake and cloud platforms, and apply predictive modeling to optimize risk management, fraud detection, and customer retention. My goal is to deliver scalable analytics solutions that drive measurable business impact and informed executive decisions.…Hi, I’m Sai Sravya Pallothu, a data analyst with 3 years of hands-on experience turning data into actionable insights in financial services and banking. I specialize in SQL, Python, R, and advanced analytics to support business decisions, risk management, and regulatory compliance. I enjoy collaborating with cross-functional teams to translate complex data into clear, impactful insights. I design and automate ETL pipelines, data warehouses, and automated reporting using Azure Data Factory, SSIS, and AWS. I build interactive dashboards in Tableau and Power BI, leverage Snowflake and cloud platforms, and apply predictive modeling to optimize risk management, fraud detection, and customer retention. My goal is to deliver scalable analytics solutions that drive measurable business impact and informed executive decisions.

Available to hire

Hi, I’m Sai Sravya Pallothu, a data analyst with 3 years of hands-on experience turning data into actionable insights in financial services and banking. I specialize in SQL, Python, R, and advanced analytics to support business decisions, risk management, and regulatory compliance. I enjoy collaborating with cross-functional teams to translate complex data into clear, impactful insights.

I design and automate ETL pipelines, data warehouses, and automated reporting using Azure Data Factory, SSIS, and AWS. I build interactive dashboards in Tableau and Power BI, leverage Snowflake and cloud platforms, and apply predictive modeling to optimize risk management, fraud detection, and customer retention. My goal is to deliver scalable analytics solutions that drive measurable business impact and informed executive decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Analyst at BNY Mellon

September 1, 2024 - November 21, 2025

Designed and delivered Power BI dashboards consolidating portfolio performance and risk metrics, enabling executives to access real-time insights and accelerating decision-making by 20%. Streamlined regulatory compliance reporting (CCAR, Basel III, DFAST) by automating SQL workflows, reducing manual work by 35% and minimizing submission errors. Conducted in-depth trading data analysis using Python, R, and SQL to detect anomalies and market trends, improving trading strategy efficiency by 15%. Built credit scoring reports leveraging statistical and ML techniques, improving loan approval decision accuracy by 12% and reducing turnaround times. Leveraged PySpark with AWS to process millions of trading records, reducing data processing time and enabling faster anomaly detection. Automated ETL pipelines with SQL and Power Query to standardize data preparation, cutting processing time by 25% and ensuring data consistency. Created KPI scorecards for senior leadership to track progress against

Data Analyst at Infosys

July 1, 2023 - July 1, 2023

Designed and maintained ETL pipelines with SSIS and Azure Data Factory, automating data integration and reducing refresh cycles by 30%. Developed Power BI and Tableau dashboards for loan portfolios and credit risk monitoring, helping managers identify high-risk accounts and lowering non-performing loans by 12%. Enhanced fraud detection models with SQL anomaly checks and predictive techniques, reducing false positives by 20% and improving detection accuracy. Used SAS and SQL for statistical modeling and regulatory reporting. Conducted customer behavior analysis using Python and SQL, uncovering spending trends that informed product strategies and improved satisfaction by 18%. Standardized KPIs, data governance practices, and report templates, increasing data accuracy by 25% and ensuring consistency across units. Optimized SQL queries and stored procedures to accelerate reporting, reducing execution time by 40% and improving analyst efficiency. Built customer churn prediction reports with