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Click here or scroll down to respond to this candidateCandidate's Name
Corvallis, ORPHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLESUMMARYPassionate data analyst with over a decade of experience in data-centric roles. Proficient in utilizing advanced data manipulation techniques, data mining methodologies, and modeling strategies to extract valuable insights from complex datasets. Demonstrated expertise in developing data-driven solutions and delivering analytical reports and interactive dashboards that drive informed decision-making.SKILLS Data Visualization/Dashboarding: Power BI,DAX, Tableau, Excel, Pivot Tables, Power Query Database: Relational Databases, MS SQL Server,MySQL, Oracle SQL Programming: Python, R Agile Planning Tool: JIRA, Planview AWS/Azure/ Google Cloud: MS Azure, MS Fabric,Azure Databricks, Athena, S3RELEVANT EXPERIENCETradition Health May 2022 March 2024Senior Data Analyst Constructed Power BI KPI dashboard leveraging internal helpdesk Azure SQL database combined with ServiceNow (SNOW) ticket database to evaluate help desk performance. Uncovered inefficiencies in resource allocation, resulting in a decrease in average ticket resolution time from 18 hours to 4 hours. Performed root-cause analysis on all historical ticketing data using Power BI, identifying underlying issues, implementing process improvements, leading to a dramatic drop in the number of IT tickets (more than 15% drop in incoming tickets despite 20% growth in the company size) Conducted comprehensive analysis of outsourced IT support operations, evaluating service quality, efficiency, and cost-effectiveness against industry benchmarks for the office of CIO. Leveraged Power BI to communicate findings. Project led to a strategic decision to internalize IT support and reduce the IT operations costs by 42%. Delivered a statistical project for VP of Clinical Services aimed at enhancing hospice patient admission process through advanced trend analysis techniques. Developed scorecard metrics to predict patient length of stay, a crucial factor for revenue generation. Utilized Microsoft Dataverse data warehouse to efficiently store and share Office 365 and Dynamics 365 datasets, enabling the IT department to generate comprehensive reports and develop custom dashboards. Partnered with learning and development department to elevate the new hire orientation experience, which culminated in an impressive Net Promoter Score (NPS) of 76. Through meticulous monitoring of various performance metrics and thorough analysis of survey feedback, we implemented targeted enhancements to streamline the onboarding process and foster greater engagement. Owned the complete data life cycle including building data pipelines, ETL processes, and data warehouses, visualization through dashboards and evaluated user experience. Reports were leveraged by clinical leadership to improve service delivery and patient outcomes. Collaborated with cross-functional teams including project managers and business units to synthesize business intelligence data and business requirements to solve the problem and generate reports and analyze findings. Creative Hospice Care December 2019 - May 2022Data Analyst Conducted detailed financial analysis using statistical methods for revenue forecasting and cost analysis and employed Power BI to generate comprehensive and interactive reports for C-level executives, facilitating informed decision-making and supporting effective presentations during the companys acquisition process. Collaborated with the CEO office to develop a 360-degree view of the business model. Utilized insights from this model to design and oversee the implementation of a CRM system in collaboration with a third-party vendor. Executed data analysis, data mining, and metrics analysis to produce executive Key Performance Indicator (KPI) reports. Reported findings and recommendations to stakeholders, enabling informed decision-making. Engaged with executive leadership team to establish and employ measures which contributed to data-driven business decision-making, enhancing organizational agility and competitive advantage. Implemented scorecard metrics to enable real-time performance evaluation across diverse business functions, encompassing departments such as clinical, marketing, operations, and HR. Creative Hospice Care October 2014 - December 2019 Database Administrator Assessed database performance with SQL Query Manager and executed a comprehensive database optimization project resulted in queries optimized for twice the speed, achieving 100% faster performance. Studied data structure, created data models, designed, developed, and organized database, and generated database documentation. Administered and supported Microsoft Office 365 Azure and Exchange policies. Planned, developed, administered, and secured Microsoft SharePoint sites and libraries. Maintained secure network access at all levels to ensure network availability, integrity, and security in accordance with standard procedures.EDUCATIONGeorgia Institute of Technology (Georgia Tech) Atlanta, GA Master of Science in Analytics Major in Computational Data AnalyticsSelected Coursework:Data Programming, Database Systems Concepts and Design, Big Data Structure, Computing for Data Analysis, Analytics Modeling, Data Mining, Analytics Modeling, Data Analytics in Business Selected Projects:Life Insurance Applicants Risk Level Assessment: Led a comprehensive data mining initiative for a major life insurance issuer using historical claims data. Managed the entire project lifecycle, from Exploratory Data Analysis (EDA) to model building using R, fine-tuning, visualization, and interpretation. Conducted extensive training of multiple machine learning classification models, with XGBoost, emerging as the most effective solution. Developed a sophisticated classification model to assess potential customers risk levels and eligibility based on application attributes, achieving an impressive accuracy rate of 94%. Visualized model performance and insights using Tableau and presented findings in a clear and concise manner to stakeholders. Predicting House Prices with Regression Models: Developed a Regression model aimed at predicting house selling prices by leveraging various house attributes alongside external factors such as area vacancy rates. Trained several ML regression models including Linear Regression, Decision Trees, Random Forests, XGBoost, and K-Nearest Neighbor models, implementing robust cross-validation techniques for feature selection. Evaluated model performance using Mean Absolute Percentage Error (MAPE) and Accuracy metrics, achieving an 8.74 MAPE and 92% accuracy rate. Crafted insightful statistical visualizations utilizing Tableau.Purchase Prediction and Item Suggestion: Applied predictive analytics to predict whether the user (a session) is going to buy something or not, and if they are buying, forecast customers next purchase using a collection of sequences of click events as well as buying events for some of the sessions. Managed the entire project lifecycle, from EDA to model building, fine-tuning, visualization, and interpretation. Achieved 94% accuracy using Random Forests for purchase predictions and 83% accuracy for forecasting the next purchase. Created visual presentations using Tableau for stats and outcomes. MehrAlborz University Tehran, IRMaster of Business Administration (MBA)Selected Coursework:Project Management, Knowledge Management, Strategic Planning, Decision Models, Management Information Systems (MIS), Communication SkillsShahid Bahonar University Kerman, IRBachelor of Computer Engineering Major in Software Engineering |
