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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedInSUMMARY 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 EXPERIENCEResearch 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 SKILLSProgramming 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 EDUCATIONSyracuse University School of Information Studies, Syracuse, New York Jan 2022 - Dec 2023 M.S. in Information SystemsReva University Computer Science and Information Technology, Bengaluru, India Aug 2015 - May 2019 B.Tech in Computer SciencePROJECTSStatistics 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. |
