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Click here or scroll down to respond to this candidateCandidate's Name
Bloomington, Indiana(Open to Relocate)PHONE NUMBER AVAILABLE # EMAIL AVAILABLE LINKEDIN LINK AVAILABLE EducationIndiana University Jan Street Address - Dec 2023Masters in Computer Science Bloomington, INRelevant Courses: Data visualization, Applied Algorithms, Data Management for Analysis, Database Management System, Database Design, Data Mining, Applied Machine Learning, Intro to Statistics KL University Vijayawada Jul Street Address - May 2020Bachelors in Computer Science Vijayawada, IndiaWork ExperienceIndiana University Aug 2023 May 2024Associate Instructor Created and instructed 4 data analysis and machine learning courses, incorporating real-world datasets and reaching over 100 students. Designed 12 lab sessions using Python, R, and SQL, enhancing students hands-on skills with datasets up to 1 million records. Optimized educational technologies for data visualization, increasing student engagement by 30% and improving instructional effectiveness.Infosys Ltd. Mar 2020 Dec 2021Data Analyst Engineered and optimized ETL pipelines to process and transform over 10 million records monthly, achieving a Key Performance Indicators (KPI) of a 25% increase in data processing efficiency and improving data accessibility. Executed complex SQL queries and data transformations on datasets exceeding 10 million records, resulting in a 20% increase in the accuracy of business insights. Developed and managed 15+ interactive Power BI dashboards, enhancing data visualization capabilities and improving decision-making efficiency by 30%. Consolidated data from 20+ disparate sources into a unified data warehouse, decreasing reporting delays by 20% and increasing the timeliness of business insights. Delivered data-driven recommendations that resulted in a 15% reduction in operational costs, optimizing processes and contributing to overall cost savings of $200,000 annually. ProjectsSales Data Analysis and Dashboard Creation Python, SQL, Power BI Objective: Enhance sales performance by providing actionable insights through data analysis and visualization. Developed ETL pipelines to consolidate sales data from 10+ sources, reducing data processing time by 40%. Analyzed 1 million+ sales records to identify top-performing products and forecast trends, improving forecast accuracy by 15%. Designed 5 interactive Power BI dashboards, enabling real-time monitoring of sales metrics, leading to a 25% increase in sales team efficiency. Results: Enabled a simulated 20% increase in sales performance through enhanced data-driven decision-making. Automated Financial Reporting System Python, SQL, Power BI Objective: To automate financial data processing and improve reporting accuracy and efficiency. Automated the extraction, transformation, and loading of financial data from 15+ sources, cutting preparation time by 50%. Created monthly financial reports in Power BI, providing insights into $50 million in revenue and expenditures. Performed variance analysis to uncover discrepancies and identify $200,000 in potential cost savings. Results: Achieved a 40% reduction in manual reporting efforts and improved the timeliness of financial reports by 30%. Technical SkillsLanguages: Python, SQL, C, R, HTML5, CSS, Shell scripting Technologies/Frameworks/Cloud: AWS S3, ADF, Git, Kafka, Pandas, NumPy, Matplotlib, Informatica (PIM 360), WinSCP, PuTTYDatabases/Methodologies: PostgresQL, Oracle SQL, MySQL, MongoDB, NoSQL, Redis, Agile, Scrum Visualization Tools: Power BI, Tableau, Excel, Google Analytics, Snowflake |
