Akhil Gunigunty
SQL & Python Data Analyst | Business Insights · BI Dashboards · Process Optimization
- Role
- Data Analyst at Citi
- Location
- Milwaukee, WI, US
- LinkedIn followers
- 500 followers
About Akhil Gunigunty
Career Objective• As a recent graduate in Information Technology and Management, I am eager to apply my expertise in data analysis, statistical modeling, and database administration to contribute to and grow within a forward-thinking data analytics team.• I am passionate about leveraging data-driven insights to support decision-making processes in dynamic, fast-paced environments.SkillsData Analysis and Statistical Modeling:• Proficient in using statistical tools and techniques to analyze and interpret complex datasets.• Strong ability to build and validate predictive models to uncover trends and insights.Database Administration:• Skilled in designing, implementing, and managing relational databases using SQL.• Experience in optimizing database performance and ensuring data integrity.Programming and Scripting:• Proficient in Python for data manipulation, analysis, and automation of tasks.• Familiar with using Python libraries such as pandas, NumPy, and SciPy for data science projects.Data Visualization:• Expertise in creating interactive and informative dashboards using Power BI and Tableau.• Knowledge of SAP Analytics Cloud for advanced business intelligence and reporting.Software Proficiencies:• Advanced skills in Microsoft Excel for data analysis, including pivot tables, VLOOKUP, and complex formulas.• Comfortable working with various data analytics and business intelligence tools.Professional Approach• Data-driven decision-making: Adept at leveraging data insights to support and guide strategic decisions, ensuring alignment with organizational goals.• Problem-Solving Mindset: Possess a strong analytical mindset with a knack for identifying, analyzing, and solving complex problems efficiently.• Collaborative Team Player: Experienced in working collaboratively within cross-functional teams to achieve common objectives.• Continuous Learning: Committed to continuous professional development and staying updated with the latest industry trends and technologies.• Attention to Detail: Meticulous in ensuring accuracy and precision in data analysis and reporting.
Experience
Data Analyst
May 2024 — Present · US
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