NAGA SAI BALLA

Operations Associate

Andhra Pradesh, India1 yr experience

Key Highlights

Improved operational efficiency by 40% through automation.
Enhanced business decision-making speed by 20% with dashboards.
Expert in transforming raw data into actionable insights.

Stackforce AI infers this person is a Data Analyst specializing in SaaS with strong skills in data visualization and automation.

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Skills

Core Skills

SqlData VisualizationAutomationEtl

Other Skills

PythonBigQueryLooker StudioPower BIn8nREST APIExcelGoogle SheetsApache SparkAzure Data FactoryTableauData CleaningKPI AnalysisData IntegrationData Validation

About

Results-driven Data Analyst with 1+ year of experience in SQL, Python, Power BI, Looker Studio, and BigQuery, specializing in data cleaning, transformation, and dashboard development. I have hands-on experience working with large datasets (10K–38K+ records) to deliver KPI-driven insights, real-time reporting, and business intelligence solutions. Currently working as a Technical Operations Associate at NxtWave, where I design and automate data workflows using SQL, APIs, and automation tools, improving operational efficiency by up to 40%. I also build interactive dashboards and reporting solutions that help stakeholders track performance, identify trends, and make data-driven decisions. Previously, as a Data Engineering Intern, I developed ETL pipelines using Python, Apache Spark, and Azure Data Factory, and created Power BI dashboards that improved business decision-making speed by 20%. I am passionate about data analytics, visualization, and automation, with a strong focus on transforming raw data into meaningful insights that drive business growth. Core Skills: SQL | Python | Power BI | Tableau | Looker Studio | BigQuery | ETL | Data Cleaning | Data Visualization | KPI Analysis

Experience

1 yr

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Nxtwave

Technical Operations Associate - Automation & Analytics

May 2025 – Present · 1 yr · Hyderabad, Telangana, India · On-site

Automated manual workflows using Google Apps Script, reducing repetitive effort and improving operational efficiency by 40%.
Designed and developed university-wise and employee performance dashboards using Looker Studio and Power BI, enabling identification of top/low performers and ranking insights.
Built and optimized data pipelines using SQL, Python, and BigQuery for data ingestion, cleaning, and transformation, ensuring accurate and scalable datasets.
Created interactive dashboards with real-time KPI tracking by integrating Google BigQuery and Looker Studio, improving business visibility and decision-making.
Automated reporting processes using Excel, Google Sheets, and Python, enhancing data accuracy, consistency, and reporting efficiency.
Designed and automated data workflows using n8n, REST APIs, SQL, and WebEngage, improving data synchronization and end-to-end process efficiency.

SQLPythonBigQueryLooker StudioPower BIAutomation+3

Intellipaat

Data Engineering Intern

Feb 2024 – Feb 2025 · 1 yr · Bengaluru, Karnataka, India · Hybrid

Built and optimized ETL data pipelines using Python, Apache Spark, and Azure Data Factory, improving data processing efficiency and scalability.
Developed and maintained complex SQL queries (MSSQL) for data extraction, transformation, and reporting across datasets.
Created Power BI dashboards for KPI visualization, enhancing business decision-making speed by 20% through actionable insights.

PythonApache SparkAzure Data FactorySQLPower BIETL+1