Data Analyst Power Bi

Amulya Suravarjhula

Email: *************@*****.***

Mobile: +1-945-***-****

Data Analyst

PROFESSIONAL SUMMARY:

Data Analyst with 3+ years of experience, demonstrating strong analytical thinking, attention to detail, and problem-solving skills, while fostering innovative thinking. Expertise in Microsoft Office suite usage and willingness to ask questions and reach out for assistance.

Built and maintained automated data workflows, improving decision-making accuracy and delivering consistent insights, while connecting dots across applications for an E2E view. Good at identifying priorities and managing multiple projects.

Experienced in data analysis, statistical profiling, and data cleaning, ensuring high data quality and consistency, with proficiency in query tools to aid data analysis. Works well in a team environment with minimal supervision.

Developed advanced dashboards to convey complex datasets visually, enabling actionable decisions through interactive KPIs, and demonstrating strong communication and presentation skills to technical and non-technical audiences.

Worked on ETL pipelines, supporting structured and unstructured data ingestion, and demonstrating proficiency with query tools to aid data analysis. Know-how effort and financials estimation for projects.

Collaborated with cross-functional stakeholders to gather requirements, define KPIs, and translate analytical needs into structured workflows that align with business outcomes and operational efficiency. Team player who can influence and guide.

Created and optimized complex SQL queries and stored procedures for reporting layers on large-scale databases, improving runtime and reducing resource consumption, with strong PL/SQL skills for complex queries.

Practiced in Agile/Scrum teams for prioritization of work and resource assignments, sprint ceremonies, backlog grooming, and regular collaboration with engineering and product teams to align data deliverables with timelines.

Applied cloud analytics principles using Git and Azure SQL for secure data handling and collaborative project development, demonstrating an ability to effectively communicate across the organization depending on the audience.

Delivered consistent executive-level presentations and reports, translating technical details into digestible visual insights for leadership, enabling informed strategic planning sessions. Experience with Oracle Exadata or 10g and above.

Gained hands-on experience with Google Cloud Platform (GCP) to run data transformations, automate workflows, and develop proof-of-concept reporting tools, demonstrating analytical thinking and attention to detail.

Completed certified GCP training focused on analytics and pipeline design, built architecture diagrams, transformed datasets, and deployed integrated data pipelines, showcasing problem-solving and innovative thinking skills.

TECHNICAL SKILLS:

Languages - Python, SQL, R (basic), PL/SQL

Tools - Power BI, Tableau, Excel, Jupyter Notebooks, Git

Databases - MySQL, PostgreSQL, Azure SQL, Oracle Exadata, Oracle 10g

Cloud Platforms - Azure, GCP (Basic), AWS (Introductory)

Others - Pandas, NumPy, Matplotlib, Scikit-learn (Intro), ETL Concepts, Agile/Scrum

PROFESSIONAL EXPERIENCE:

Insight Global Jan 2025 – Present

Data Analyst

Responsibilities:

Demonstrated expertise in analytical thinking by designing AI-driven reporting tools, automating data collection and transformation, significantly improving report accuracy and delivery speed across operations and business units.

Showcased strong communication and presentation skills by collaborating with product managers, developers, and DevOps teams to deploy machine learning models within scalable pipelines, enhancing customer-facing analytics.

Applied innovative thinking skills by conducting regression testing, peer reviews, and code quality audits as part of agile sprints to ensure consistency, reliability, and adherence to enterprise data governance standards.

Built real-time dashboards in Power BI to monitor business KPIs, enabling leadership to make strategic decisions using intuitive, visually-rich analytics accessible on desktop and mobile platforms, showcasing attention to detail.

Wrote complex PL/SQL queries and automated reporting scripts, reducing repetitive manual processes, increasing data accuracy, and freeing analyst resources for high-value initiatives, demonstrating strong problem-solving skills.

Scheduled ETL pipelines and jobs through workflow orchestration tools, monitored job status, resolved data quality issues, and ensured seamless upstream-to-downstream data availability, working well in a team environment.

Authored SOPs, technical documentation, and self-service knowledge articles for reporting tools, resulting in a measurable drop in internal support queries and onboarding time, identifying priorities effectively.

Developed Python-based analytics scripts and Excel macros for internal HR and employee feedback data, streamlining reporting for organizational development and quarterly talent reviews, managing multiple projects simultaneously.

Trained new analysts on querying practices, Git version control, and visualization standards, contributing to a knowledge-sharing culture and reducing onboarding effort by over 40%, with minimal supervision.

Leveraged Jupyter notebooks, pandas, and GitHub for reproducible analysis workflows, improving experiment tracking, and enabling faster iteration in modeling and reporting tasks, demonstrating proficiency in connecting dots.

Callier Center for Communication Disorders Jan 2024 – May 2025

Analyst

Responsibilities:

Analyzed multi-year clinical communication data using SQL and statistical methods to identify treatment outcome trends, inform therapy decisions, and support evidence-based research across various patient demographics, showing analytical thinking.

Automated weekly and ad-hoc reporting processes using Excel VBA and SQL, enabling consistent delivery of clinical insights while significantly reducing manual reporting workload for therapists and research staff, with attention to detail.

Developed Power BI dashboards for visualizing therapy timelines, intervention outcomes, and success metrics, providing real-time insights to clinical teams and enhancing communication with administrative leadership, a team player.

Partnered with clinicians and researchers to define success metrics, track therapy progress, and refine analytics deliverables that aligned with study protocols and institutional research objectives, demonstrating problem-solving skills.

Performed end-to-end data cleaning, deduplication, and validation of EMR data to ensure accurate and reliable analytics for research studies and clinical outcome reporting, identifying priorities effectively.

Designed a patient outcome tracking tool in Excel with relational mapping to diagnostic records, simplifying progress evaluation and care documentation across multidisciplinary therapy teams, managing multiple projects simultaneously.

Built reproducible analytics workflows using Jupyter, pandas, and Matplotlib for generating summary statistics, visualizations, and exportable reports for academic publishing and internal reviews, with minimal supervision.

Integrated analytics dashboards with clinical scheduling software in coordination with IT, enabling real-time patient flow monitoring and improved resource allocation across therapy units, demonstrating innovative thinking.

Wrote optimized PL/SQL queries to extract visit-level data from EMR systems, validated results through data sampling, and delivered cleaned datasets for research-grade analysis, showcasing strong communication skills.

Followed strict IRB compliance guidelines to handle sensitive patient data ethically, ensuring research integrity, privacy, and alignment with institutional and federal data governance policies, connecting dots effectively.

LTIMindtree Nov 2021 – Jun 2023

Graduate Engineer Trainee

Responsibilities:

Collaborated with agile/scrum delivery teams on SaaS products, supporting backlog grooming, sprint planning, and documentation of user stories to maintain clarity and consistency across the software development lifecycle.

Assisted engineering teams in deployment coordination, defect triage, and testing plans; participated in sprint retrospectives and demos to ensure quality and alignment with project deliverables, showing attention to detail.

Built internal dashboards to monitor engineering KPIs and delivery metrics, improving management visibility into project health, progress, and team velocity across distributed teams, demonstrating analytical thinking.

Authored detailed SOPs and internal wiki pages that improved onboarding processes and streamlined recurring tasks for cross-functional project teams and junior developers, identifying priorities effectively.

Used Excel and SQL to profile internal datasets and generate ad-hoc reports for performance monitoring and operations management, enhancing data-driven decision-making, managing multiple projects simultaneously.

Supported CI/CD documentation efforts and maintained basic pipeline configuration using GitLab runners, ensuring deployment reliability and visibility across environments, with minimal supervision.

Helped monitor production environments using Grafana and Azure Monitor; summarized log alerts using lightweight Python scripts to track and respond to system events, demonstrating problem-solving skills.

Managed JIRA tickets for sprint planning, categorized issues, and prepared review reports, improving task prioritization and sprint execution, showcasing strong communication and presentation skills.

Participated in cloud enablement initiatives by applying GCP knowledge to create training resources and internal tooling enhancements for cloud-based engineering workflows, demonstrating innovative thinking.

Gained know-how of effort and financials estimation by assisting senior team members in project planning and resource allocation, contributing to accurate project budgeting and efficient resource management, a team player.

Certifications:

Microsoft Azure Fundamentals

Salesforce AI Associate

Salesforce AI Specialist

HTML & CSS

Educational Details:

Master of Science - Information Technology Management - University of Texas at Dallas

Bachelor of Engineering - Computer Science Engineering - Gayatri Vidya parishad college of engineering

Contact this candidate