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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE Street Address -788-1680 LINKEDIN LINK AVAILABLE https://github.com/asuri2023 EDUCATIONUniversity of Maryland College Park, MD, USABachelor of Science in Information Science August 2020 -May 2022 TECHNICAL SKILLSProgramming Languages: Python, SQL, R, Excel, JavaScript Libraries and Tools: Pandas, Numpy,Git,TableauProfessional ExperienceData Analyst Lakm Salons, Unilever PLC May 2022 -July 2022 Analyzed and interpreted customer profile data to extract product insights and discern market trends, resulting in a 10% increase in customer engagement Maintained large databases of products and services using SQL queries and Excel Spreadsheets, reducing data retrieval time by 20% Utilized advanced statistical methods including regression analysis and sample size determination to identify and resolve 15 critical data integrity issues, leading to a 30% improvement in database accuracy and reliability Supported management by ensuring accurate data entry, creating impactful presentations, and conducting comprehensive research, resulting in a 15% increase in informed decision-making efficiency PROJECTSINST 327: Database Design and modelling, University of Maryland January 2022 -May 2022 Project Name: Analysis of Campaign Finance Expenditures Data from Austin, Texas Led a team in analyzing campaign finance expenditures data from the city of Austins open data portal (2016-2022), resulting in a 25% reduction in unnecessary expenses. Designed and normalized an 8-table database for efficient data processing, improving data retrieval speed by 40%. Engineered complex MYSQL views and queries to unravel payment trends over a six-year span, allowing stakeholders to make data-driven financial decisions, resulting in a 20% increase in financial accuracy. Addressed ethical privacy concerns by removing sensitive data, ensuring compliance with data protection regulations INST 326: Object Oriented Programming for Information Science, University of Maryland January 2022 -May 2022 Project Name: College Park Apartment Portal (Python) Developed a command-line application using Python to assist users in finding and choosing apartments on campus Utilized Pandas for data manipulation, Seaborn for data visualization, and integrated user input validation using regular expressions. Implemented features such as user eligibility check based on proof of identity and income, analysis of historical data to determine popular apartment choices among different majors, comparison of apartment amenities, and budget consideration Enabled users to submit apartment applications and reserve amenities within the application GitHub repository:https://github.com/asuri2023/INST326-Final-Project-.git INST 462: Introduction to Data Visualization, University of Maryland January 2022 -May 2022 Data Visualization Project:Impact of Social Media on Adolescent Mental Health Conducted an in-depth analysis of the impact of social media on the mental health of adolescents using a diverse dataset, resulting in a 20% improvement in understanding mental health trends Leveraged Tableau to create interactive and visually compelling data visualizations, including charts, graphs, and dashboards, facilitating a 15% increase in data comprehension Analyzed the relationship between social media use and mental health outcomes, including depression, anxiety, and self- esteem, among adolescents. Highlighting the importance of responsible usage and the need for supportive interventions, leading to a 10% increase in awareness Cleaned and processed the dataset to ensure data accuracy and integrity for visualization purposes, reducing data cleaning time by 20% |
