Odilia Kemboi

 PROFESSIONAL SUMMARY A highly accomplished and result-oriented Data Analyst/Scientist professional with over 4 years of extensive experience in Business Data Analytics - document business requirements, functional improvements, and a proven background delivering sensible business analytical solutions on time. Comfortable working in fast-paced environments. Highly motivated sophisticated and tech savvy individual with a deep understanding of the situations encountered in the business industry, expert in business intelligence, business analysis and business management with keen insights into customer satisfaction. TECHNICAL SNAPSHOTS Microsoft SQL Server | Microsoft Access | Microsoft Office (MS Word/Advanced Excel/PowerPoint) SQL | Microsoft 365: SharePoint | Python | Alteryx /Google Spreadsheet | Tableau| Data Analysis | Data Visualization | Business Analysis| Predictive Analytics CORE COMPETENCIES Data Cleaning and Preparation Data Analysis and Exploration Creating Data Visualization Creating Dashboards & Reports MS Office Proficient Business Development Business Intelligence Strategic planning Project Management Troubleshooting Relationship Building Collaboration & Teamwork Exceptional Interpersonal skills Innovative Solutions Dedicated to Excellence Creative Problem Solver Requirements Gathering Multi-tasking Team Building & Leadership Strong Work Ethic Management Skills Creative Thinking Works Well Under Pressure Communication Skills PROFESSIONAL EXPERIENCE Data Scientist/ Analyst Jan 2021- Present Smart Data Analytic | Dallas, TX Communicated complex technical findings and insights to non-technical stakeholders effectively. Built databases and validated their stability and efficiency. Responsible for data modeling, data scheduling Performed data collection, data cleaning, and data preprocessing tasks to prepare datasets for analysis. Explored and analyzed large datasets using Python, Pandas, and SQL to identify trends, patterns, and outliers. Utilized Python libraries like Scikit-learn and TensorFlow for model training and valuation. Fine-tuned models for optimal performance and interpreted models result. Created interactive and informative data visualizations and dashboards using Tableau to present insights and findings to stakeholders. Developed custom data visualizations using Python libraries like Matplotlib and Seaborn. Used Alteryx to automate data extraction, transformation, and loading (ETL) processes. Cleansed and preprocessed data to ensure data quality and accuracy. Collaborated with cross-functional teams. Including data engineers, analysts, and business stakeholders, to understand data requirements and business objectives. Created program views, functions, and stored procedures. Wrote optimized SQL queries for integration with other applications. Designed database tables and dictionaries. Developed scripts, procedures, and triggers for application development. Maintained data quality and backups. Communicated effectively in both a verbal and written manner to client and offshore team. Completed documentation on all assigned systems and databases, including business rules, logic, and processes. Determine changes in physical database by studying project requirements. Developed intermediate business knowledge of the functional area and processed to understand the application of data information to support business function. Facilitated gathering moderately complex business requirements by defining the business problem. Maintained and assists in the development of moderately complex business solutions, which include data, reporting, business intelligence/analytics. Responsible for working closely with various stakeholder’s groups to build business requirements and functional design documents. Facilitated the communication between various functional teams and the vendor to determine the application problems, remediation approaches, and the implementation path. Provided the management with a dashboard that searched across multiple transactional data sources to see information relevant for the client. Converted complex data from multiple sources into meaningful and easy to understand formats for various stakeholders. Use different methodology to prioritize and create roadmaps for projects based on Business requirements and goals and participated in scrum sessions. EDUCATION Professional Certificate Data Analytics & Machine Learning 2020 Smart Data Learning Dallas, Texas Certification Alteryx Micro Credential Foundation 2024