Data Analyst Analysis
Resume:
PURVAJA VARATI
SUMMARY
• 3 years of experience in Data Analysis, competent at driving actionable insights and spearheading impactful projects
• Skilled in utilizing analytical tools like R, Python, Tableau, and Power BI for data analysis and visualization
• Proficient in leading cross-functional teams, and achieving project milestones through effective communication PROFESSIONAL EXPERIENCE
Research Analyst, Syracuse University, Syracuse, NY Feb 2024 - Present
• Utilized SQL and Excel to conduct comprehensive literature reviews, organize data, and perform preliminary analysis, resulting in a streamlined research process and a 20% increase in research efficiency
• Supported research methodology design and analysis with R, Python, and SQL, leading to improved data collection and interpretation, leading to a 25% increase in proposal acceptance rates Data Analyst II, Tata Consultancy Services, Bengaluru, India Jun 2020 - Jan 2022
• Streamlined ETL architecture for a financial client, enhancing SQL and Hadoop data extraction processes and resulting in a 40% reduction in processing time
• Engineered and fine-tuned an array of SQL and HiveQL queries for data extraction, achieving a 30% improvement in query performance and data throughput
• Developed in-depth ETL documentation, resulting in a 50% reduction in new developer ramp-up time and increasing integration efficiency by 30%, thereby enhancing overall productivity in subsequent project
• Fostered a cross-functional culture of technical excellence within the data team by leading code reviews, resulting in elevated code standards and better meet customer needs and reduced deployment rollbacks by 40% Data Analyst I, Tata Consultancy Services, Bengaluru, India May 2019 - May 2020
• Directed a data analytics team in Transaction Monitoring and Reporting, employing Hive to curate impeccable daily and monthly financial reports, attaining an exemplary data discrepancy rate below 0.1%
• Led data-driven initiatives that enhanced decision-making, with Excel and Tableau-powered analyses contributing to a 25% increase in strategic business outcomes and a 10% improvement in the accuracy of analytics insights
• Orchestrated the troubleshooting and remediation of production bottlenecks by dissecting issue logs and deploying technologies like Hive, Spark ETL, Scala, and Autosys, which resulted in a 50% reduction in system downtime
• Mastered and applied Agile methodologies, including Agile Software Development Lifecycle (SDLC), to optimize sprint planning and deployment. Achieved a 20% boost in project completion rates and amplified team output during sprints TECHNICAL SKILLS
Programming Languages: SQL, Python, R, HQL, Scala, HTML, CSS Databases: MS SQL, My SQL, Hive, Hue, Zeppelin, Putty Methodologies & Data Visualization: SDLC, Agile, Waterfall, Tableau, Power BI, Google Analytics Development tools: Visual Studio Code, Azure Data Studio, Autosys Scheduler Data Analysis Tools: ETL, Data Analysis, GitHub, Confluence, Microsoft Suite (Excel- Pivot tables, Word, Access) Project Management Tools- JIRA, Confluence, Teamwork, MS Project Operating System & Big Data Technologies: Windows, Unix, Bash, Power shell, Hadoop Distributed File Systems Other Skills: Data Cleaning, Root Cause Analysis, Critical Thinking, Communication Skills, Presentation Skills, Problem-Solving EDUCATION
Syracuse University – School of Information Studies, Syracuse, New York Jan 2022 - Dec 2023 M.S. in Information Systems
Reva University – Computer Science and Information Technology, Bengaluru, India Aug 2015 - May 2019 B.Tech in Computer Science
PROJECTS
Statistics and Visual history of Nobel Laureates, Syracuse, NY May 2022 - Jul 2022
• Analyzed historical Nobel Prize data utilizing SVM classification in R to assess gender disparities and forecast award trends with 95% accuracy, fine-tuning the algorithm to attain a 5% error rate on training data and validating against a test set for 92% accuracy, contributing to research on gender equity in accolades YouTube Analytics, Syracuse, NY Feb 2023 - May 2023
• Utilized Tableau to create a dashboard analyzing YouTube analytics across eight countries, influencing over 10,000 global content creators by identifying 5+ high-performing content categories and detecting anomalies, resulting in a 20% average improvement in engagement and revenue metrics.
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