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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE Shrewsbury, MA - Street Address
Professional SummaryData Analyst with expertise in data analysis, system implementation, and business process improvement. Proficient in SQL, Python, and data visualization tools such as PowerBI and Tableau. Skilled in Agile and Waterfall methodologies, requirement gathering, and stakeholder collaboration. Eager to drive impactful solutions in the role of Data Analyst.EducationUniversity of Illinois Springfield, IllinoisMaster of Science in Computer Science GPA: 3.96 August 2022 - May 2024 Jawaharlal Nehru Technological University Hyderabad, India Bachelor of Technology in Computer Science and Engineering GPA: 3.59 August 2016 - October 2020 ExperienceGraduate Public Service Internship at the Illinois Prescription Monitoring Program Springfield, Illinois Feb 2023 - May 2024 Led requirement gathering and documentation for a centralized data system. Collaborated with 10 healthcare providers and 3 state agencies, resulting in 30% reduction in data retrieval times. Optimized prescription data analysis using SQL, improving reporting accuracy by 15% and developing PowerBI dashboards that enhanced decision-making speed by 20%. Automated data workflows with Python and Azure Data Factory, ensuring 99% accuracy and reliability in ILPMP systems. Managed IT project implementation using Agile and Waterfall methodologies, improving processing efficiency by 25%. Created training modules and delivered user support, resulting in a 15% improvement in system adoption. Ensured HIPAA compliance and maintained 100% data integrity through regular SQL database security checks. Enhanced user interfaces with HTML, CSS, and Visual Studio, increasing user satisfaction scores by 10%. Streamlined user onboarding, facilitating account creation for over 200 users. Developed technical documentation that reduced new team member onboarding time by 20%. SkillsProgramming Languages : SQL, Python, R, Java, CTools / Platforms : PowerBI, Tableau, Microsoft Azure, Microsoft Project, Visio Microsoft Office, Microsoft Excel, Word, PowerPoint, Access, Jupyter Notebook, Visual Studio Data Analysis : Data Governance, Data Preprocessing, Data Management, Data Visualization,Machine Learning(Pandas, NumPy, MatplotLib, Seaborn, Scikit-learn) Databases : SQL, NoSQL, MySQL, Azure SQL, Microsoft SQL Server, Management Studio ProjectsStock Market Prediction and Analysis Python, Scikit-learn, Machine-Learning Algorithms Developed a predictive model to analyze stock market trends and assess risks, achieving a 90% accuracy rate in stock predictions. Implemented Monte Carlo simulations and Bootstrap algorithms to refine risk assessments and enhance prediction reliability. Employed advanced machine learning algorithms and statistical analysis to provide data-driven investment insights, leading to a 10% improvement in decision-making speed for investors. Analysis of Google Play Store Apps Python, Scikit-learn, Machine-Learning Algorithms Conducted a comprehensive analysis of Google Play Store apps, predicting app success factors with an 85% accuracy using random forest algorithms. This analysis helped developers optimize app features, resulting in a 12% increase in user engagement. Extracted, cleaned, and analyzed large datasets using web scraping techniques and Python libraries, providing valuable insights into app performance, user behavior, and market trends. Certifications Microsoft PowerBI Data Analyst in Progress Microsoft Data Fundamentals 2024 Microsoft PowerBI - Udemy. 2024 Problem Solving with Java - Duke University, Coursera. 2023 Get started with Databricks for Data Engineering - Databricks. 2024 Machine Learning NPTEL (National Programme on Technology Enhanced Learning). 2022 |
