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Hi, I’m Likitha Nandala, a results-driven Data Analyst with 3+ years of experience turning complex data into actionable business insights. I specialize in SQL, Python, and Tableau to drive strategic decisions, improve operational efficiency, and boost revenue. I enjoy collaborating cross-functionally to translate data into storytelling that resonates with executives and stakeholders. Beyond analytics, I build robust ETL pipelines, perform predictive analytics, and ensure data quality across systems. I thrive in fast-paced environments and have contributed to multi-domain projects in financial services, aviation research, and retail, delivering measurable impact and supporting data-driven growth.…Hi, I’m Likitha Nandala, a results-driven Data Analyst with 3+ years of experience turning complex data into actionable business insights. I specialize in SQL, Python, and Tableau to drive strategic decisions, improve operational efficiency, and boost revenue. I enjoy collaborating cross-functionally to translate data into storytelling that resonates with executives and stakeholders. Beyond analytics, I build robust ETL pipelines, perform predictive analytics, and ensure data quality across systems. I thrive in fast-paced environments and have contributed to multi-domain projects in financial services, aviation research, and retail, delivering measurable impact and supporting data-driven growth.

Likitha Nandala

Data Analyst, Data Scientist, Marketing Analyst, +3

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Hi, I’m Likitha Nandala, a results-driven Data Analyst with 3+ years of experience turning complex data into actionable business insights. I specialize in SQL, Python, and Tableau to drive strategic decisions, improve operational efficiency, and boost revenue. I enjoy collaborating cross-functionally to translate data into storytelling that resonates with executives and stakeholders. Beyond analytics, I build robust ETL pipelines, perform predictive analytics, and ensure data quality across systems. I thrive in fast-paced environments and have contributed to multi-domain projects in financial services, aviation research, and retail, delivering measurable impact and supporting data-driven growth.…Hi, I’m Likitha Nandala, a results-driven Data Analyst with 3+ years of experience turning complex data into actionable business insights. I specialize in SQL, Python, and Tableau to drive strategic decisions, improve operational efficiency, and boost revenue. I enjoy collaborating cross-functionally to translate data into storytelling that resonates with executives and stakeholders. Beyond analytics, I build robust ETL pipelines, perform predictive analytics, and ensure data quality across systems. I thrive in fast-paced environments and have contributed to multi-domain projects in financial services, aviation research, and retail, delivering measurable impact and supporting data-driven growth.

Available to hire

Hi, I’m Likitha Nandala, a results-driven Data Analyst with 3+ years of experience turning complex data into actionable business insights. I specialize in SQL, Python, and Tableau to drive strategic decisions, improve operational efficiency, and boost revenue. I enjoy collaborating cross-functionally to translate data into storytelling that resonates with executives and stakeholders.

Beyond analytics, I build robust ETL pipelines, perform predictive analytics, and ensure data quality across systems. I thrive in fast-paced environments and have contributed to multi-domain projects in financial services, aviation research, and retail, delivering measurable impact and supporting data-driven growth.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Analyst at BNY Mellon

April 1, 2025 - November 4, 2025

Analyzed complex datasets using SQL and Python to identify trends and drive business strategy, improving operational efficiency by 25%. Designed and developed interactive Tableau dashboards and Power BI reports for executive stakeholders across multiple business units. Conducted statistical analyses including hypothesis testing, regression, and A/B tests to support data-driven product and marketing decisions. Collaborated with Product, Engineering, and Marketing to define data requirements and deliver analytical solutions aligned with business objectives. Implemented ETL pipelines to extract, transform, and load data from multiple sources into a centralized data warehouse, reducing data processing time by 40%. Performed data quality assessments and cleansing to ensure output accuracy. Automated reporting via Python scripts and SQL stored procedures, reducing manual reporting by 30 hours per week. Presented findings to senior leadership through clear data storytelling and visuals.

Data Analyst at National Institute for Aviation Research

March 1, 2025 - March 1, 2025

Developed predictive models using Python and R to forecast operational trends and support strategic planning, improving forecast accuracy by 35%. Conducted exploratory data analysis on large datasets using pandas, NumPy, and SQL to uncover insights related to operational performance and resource allocation. Built and maintained automated dashboards in Tableau and Power BI to track real-time operational metrics for management review. Performed data mining and statistical analysis to identify cost-saving opportunities, resulting in $150K annual cost reduction. Collaborated with IT and business teams to define data governance policies and implement data quality standards. Created documentation for analytical processes and data dictionaries to ensure reproducibility.

Business Data Analyst at PNC Financials

November 1, 2024 - November 1, 2024

Extracted and analyzed data from multiple relational databases using SQL queries and joins to support client reporting and BI initiatives. Designed interactive visualizations and executive dashboards using Tableau and Power BI, enabling stakeholders to monitor business performance in real-time. Performed data validation and quality checks to ensure accuracy of reporting, achieving a 99% data accuracy rate. Conducted market research and competitive analysis using statistical methods to inform product development and go-to-market strategies. Automated data collection and reporting processes using Python scripts, reducing manual effort by 20 hours per week. Collaborated with software development teams to define data requirements for new features and system enhancements. Participated in Agile sprint planning and retrospectives, providing analytical support for product backlog prioritization. Generated regular BI reports including weekly, monthly, and quarterly performance summaries for lea

Data Analyst at DataOne Solutions

July 1, 2021 - July 1, 2021

Analyzed customer behavior data using SQL and Python to identify patterns and trends, supporting marketing campaign optimization and customer segmentation. Created data visualizations and reports in Excel and Tableau to communicate analytical findings to business stakeholders and drive data-informed decisions. Performed statistical analysis including correlation analysis and trend analysis to support business forecasting and planning. Managed data extraction, transformation, and loading processes from various data sources into centralized reporting databases. Conducted ad-hoc analysis to answer critical business questions and support strategic initiatives across sales, marketing, and operations. Collaborated with business analysts and project managers to gather requirements and deliver analytical solutions within tight deadlines. Maintained data quality and integrity through regular audits and validation processes, ensuring reliable reporting and analytics.