Leveraging hands-on experience in data analysis, SQL, Python, and advanced tools like Azure Data Factory andDatabricks to drive data-driven insights. Eager to apply analytical and problem-solving skills to complex data challenges,enhancing organizational growth and supporting critical decision-making processes.
PYTHON, PANDAS, NUMPYS, SQL, HTML, CSS.
Power BI, Tableau, Advanced Excel, KPIS, Data Modeling, Reporting.
Jira, GitHub, Version Control, CAD, GitHub, Version Control, CAD.
Microsoft Azure Cloud, Azure Data Bricks, Azure SQL Data Warehouse, Azure Data Factory.
Data Analyst
Hyderabad, Telangana, India
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Summary
Currently gaining hands-on experience in data analysis and reporting, applying analytical skills to extract actionableinsights from large datasets.
Highlights
Developed and implemented robust data models, analyzing extensive datasets to identify critical trends and provideactionable insights for key business stakeholders.
Created and maintained interactive dashboards to visualize key performance indicators (KPIs), enabling data-drivendecision-making across departments.
Automated routine data extraction and reporting tasks, significantly reducing manual effort by 50% and improvingoperational efficiency.
Collaborated with cross-functional teams to define metrics, optimize data workflows, and streamline processes,enhancing overall data governance and utility.
Generated executive-level reports highlighting crucial sales trends, customer segmentation, and retention strategiesto inform strategic business decisions.
Azure Data Engineer Intern
Hyderabad, Telangana, India
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Summary
Applied Azure Data Factory and Databricks expertise to develop data pipelines for robust data engineering solutions.
Highlights
Designed and implemented scalable data pipelines using Azure Data Factory for efficient data ingestion andtransformation.
Leveraged Azure Databricks for advanced data processing and analytics, optimizing data workflows forperformance and reliability.
Integrated Azure SQL Data Warehouse for structured data storage, ensuring data integrity and accessibility fordownstream applications.
Developed solutions for ingesting diverse datasets, demonstrating proficiency in cloud-based data engineeringpractices.
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Summary
An HR Insights & Trends Dashboard is a data visualization report (commonly built in tools like Power BI / Tableau / Excel) that helps the HR team monitor, analyze, and make decisions about employees and workforce performance. It converts raw HR data into charts, KPIs, and trends so management can understand what is happening in the organization.
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Summary
The objective of this project is to analyze hospital operational and clinical data to improve patient care, resourceutilization, and decision-making. The dataset includes information such as patient details, admission and discharge dates,diagnosis, treatment cost, doctor details, department, bed occupancy, and readmission status. Data was collected fromhospital records and imported into Power BI for analysis and visualization. Data cleaning was performed using PowerQuery, including handling missing values, removing duplicates, correcting data types, and standardizing date formats.
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Summary
Developed a comprehensive COVID-19 reporting system by ingesting ECDC datasets, transforming them using AzureData Factory, HDInsight, and Databricks, and loading into an Azure SQL Data Warehouse.
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Summary
Analyzed healthcare platform data to deliver high-performance analytical dashboards with subsecond data access.Optimized data queries and reporting pipelines, reducing data retrieval time from 3.72s to <0.5s. Ensured dataconsistency and accuracy across reports using structured validation and aggregation techniques.
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Graduation
Mechanical Engineering
Grade: 8.0 GPA
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+12
MPC
Grade: 7.3 GPA
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SSC
Secondary Education
Grade: 9.3 GPA