Adedamola Tolulope Ogundipe

Adedamola Tolulope OGUNDIPE Data Scientist | Dental Surgeon (Python | Excel| SQL | Tableau | R) SUMMARY Highly analytical and result-driven Data Scientist with a robust background in healthcare, Masters in Data Science (Distinction) and over 4 years of experience. Adept at building and deploying machine learning models, analyzing complex datasets and designing data-driven solutions to enhance operational efficiency. Indepth knowledge of Machine learning, Deep learning, Artificial Intelligence, Natural language processing, database types and management, research methodologies, big data capture, curation, manipulation and visualization. Expertise in leveraging tools like Python, R, SQL, Excel, Tableau and Power BI to extract actionable insights and drive business growth. Accustomed to working in a fast-paced business environment. CAREER RELATED SKILLS • Over 4 years of data science and analysis, reporting analysis, electronic medical record optimization, health digitalization and telemedicine experience. • Experience in analyzing data to identify trends, potential opportunities and performance measurement. • Key team member in the delivery of data integrity and data warehousing solutions for global enterprises. • Experience with automating reports from raw data and data visualization with Tableau. • Detail oriented, with the ability to produce reports that drive strategic business decisions. • Strong data story-telling abilities to be able to turn observations into insights and communicate them clearly to technical and non-technical audiences. Organized, detail-oriented, data, data driven, scientific mindset, strong communication, analytical and problem-solving skill. • CONTACT --Toronto, ON M8V 0G2 LinkedIn Profile | Github Portfolio EDUCATION AND TRAINING Bachelor of Dental Surgery University of Lagos Lagos, Nigeria 2007 - 2014 Master of Science in Data Science (Distinction) Pan-Atlantic University Lagos, Nigeria 2023 - 2024 SKILLS • • • • • • • EXPERIENCE Data Analyst/Scientist (Remote) Xpathedge| Arlington, TX | March 2023 – Date • • • • • • Collaborated with marketing team on A/B testing of email campaigns based on customer preferences. • Designed, trained and deployed ML models utilizing techniques such as supervised, unsupervised, transfer and reinforcement learnings. • Implemented deep learning frameworks such as tensorflow and pytorch to solve complex predictive and classification problems. • • Designed and implemented A/B experiments for products to improve the conversion rate by 27 basis points and reduce churn by 18 basis points. • • • Developed AI driven solutions including NLP models for text classification, sentiment analysis and language generation, leveraging transformer architectures and fine-tuned pretrained language models. Managed and optimized various database types including relational and non-relational systems ensuring data integrity, security and efficient querying for high performance data processing. • • • • • • • • • • • • • • Python Tableau Power BI Jira Big Data Teradata SharePoint Google Sheets MS SQL PostgreSQL PHP Microsoft Azure Apache Kafka Apache Airflow Apache Spark Trino Python Ray Cockroach DBMS KSQLDB Delta Lake Streamlit Cube Informatica R CSS SSRS Redshift Snowflake • Conducted comprehensive research to analyze trends, implement algorithms and validate models. • Applied statistical and scientific methods to drive data-driven insights and inform project outcomes. • Captured curated and manipulated large datasets for analysis utilizing tools like Hadoop, Spark and big data visualization techniques to interpret complex data patterns and generate actionable insights. • • • • • Developed and maintained efficient data pipelines to manage data flow from producers to consumers. Managed and implemented real-time data ingestion, processing frameworks and data streaming architectures using Apache Kafka facilitating seamless communication between data producers and consumers in a live environment to ensure timely and accurate data delivery for live analytics. Engineered robust systems for data sinking and sourcing ensuring efficient transfer and storage of live data streams from various sources to designated sinks while optimizing data pipelines to handle high throughput scenarios. Developed 75% custom Microsoft Power BI dashboards, visualizations and interfaces with Microsoft SSRS to deliver meaningful and actionable insights. Utilized Power BI to build compelling automated reports and dashboards to monitor performance metrics and communicated findings effectively to both technical and non-technical audiences. • Utilized Power BI for advance analysis actions, calculations, parameters, background images, maps, trend lines, groups, hierarchies, detail level summary report sets and KPI dashboards. • Designed, developed, tested and maintained Tableau functional reports based on user requirements. • Used advanced chart visualizations in Tableau such as dual axis, box plots, bullet graphs, treemaps, bubble charts, and waterfall charts to solve complex problems and to create interactive dashboards and visualizations. Built operational reporting in Tableau to find areas of improvement for contractors resulting in remarkable increase in annual revenue. • Data Analyst (Remote) Awe Supreme Resource Inc| Ontario, ON | January 2022 – February 2023 • • • • • • Utilized data, technological possibilities and operational practices to identify and improve business processes. Identified process gaps and provided recommendations to business process owners. Performed over 43 data profiling activities to provide statistics and informative summaries for integration of new source system data. Worked with company management to ensure mission critical reporting and business intelligence reporting was being developed and delivered. Developed complex SQL queries using 14 procedures, including Common Table expression (CTE), to support Power BI and SSRS reports. Supported the business in terms of interpreting complex datasets, analyzing results using statistical techniques and providing key business reports. • Analyzed historical data (including transactional, survey and behavioral) to identify trends and make predictions. • Developed and reviewed simultaneous SQL queries with the use of join clauses (inner, left and right) in Tableau desktop to validate static and dynamic data for data validation. • • • • • • • • • • • • • • • • • • • • • • • • SAP ERP AWS Cloud SAS Enterprise Miner Minitab Hadoop ETL Qliksense Oracle Data Integrator Salesforce Microsoft office suite (Outlook, Access, Word, Advanced Excel, PowerPoint, Visio) Google Analytics Adobe Analytics Master Data Management (MDM) Adobe Experience Manager Data Visualization Data Quality Data Integration &Mapping Data Warehousing Data Modeling Data Mining Trend Identification Business Intelligence Agile Methodology Requirements Gathering CERTIFICATIONS • Certification in Epidemiology University of North Carolina, USA via Coursera – May 2024 • Certification in Machine Learning Stanford Online via Coursera – May 2024 • Google Data Analytics Professional Google llc via Coursera – October 2024 • Health Informatics Specialization Certificate Johns Hopkins University via Coursera – January 2023 • Leadership and Management in Health University of Washington – December 2020 • Good Clinical Practice Collaborative Institutional Training Initiative (CITI) – January 2023 • Created complex stored procedures, triggers, functions, indexes, tables, views, joins and other T-SQL code to implement business rules. • Created a centralized location for storing project documentation within SharePoint Online so that team members can easily find what they need without having to search through email inboxes or OneDrive folders. • Worked with data quality analysts to develop a set of data validation rules and scorecards to monitor the quality of the source data in the customer and asset domains, which led to a 19% boost in operational efficiency. Improved data accuracy, viability and value by improving and streamlining processes regarding data flow and data quality. Created and managed master data objects ensuring data integrity and successful execution in SAP within agreed timelines. Partnered directly with the executive team as the first data hire to formulate and report on KPIs across their web properties that received 5000 visitors annually using SQL and Google Sheets. • • • Data Analyst/Business Analyst One Digital| Lagos, Nigeria | December 2020 - December 2021 • • • • • • • • • • • Gathering and cleaning data from a variety of sources, including databases, spreadsheets and online platforms. Implemented an automated reporting solution with Microsoft SQL and Tableau for a logistics company that led to a fleet size reduction of 50% in first year of implementation. Compared historical data from 2019 to 2020 and reported trends to management, decreasing departmental annual expenses by 25% and research and implement best practices for data automation and system improvements. Generated high level of consumer awareness through customer recognition and loyalty, including print and web; resulting in further increase in revenue and web traffic within 2 months. Managed and provided ongoing access to data through dashboards, reports, data pipelines and data analysis. Created in-depth presentations on various topics for senior management. Coordinated application redesign by administering, operating and managing multiple application systems and application server platforms for various clients. Prepared standardized and operating procedures for international purchasing division designed to reinforce brand awareness and ensure proper coordination. Consolidated up to 60 help desks into one centralized support system; improvements led to 65% increase in customer call efficiency and further developed customer relationship. Incorporated analytical techniques such as data cleaning, wrangling and process mapping to eliminate duplication, facilitate workflow and assure efficiency of staff and equipment during usage. Built out multiple KPIs that perform reporting and cut down financial and operational reporting to real time. Junior Data Analyst (Remote) The Plumage Company| Forney, TX | February 2020 - November 2020 • • • Maintained complete documentation including database libraries, best practices and performance and capacity metrics. Conducted business process analysis and identified critical issues, gaps, and needs for an established process center. Revised purchase ordering algorithm to minimize overstock and reviewed purchase orders compiled by a colleague, achieving savings of 18% per inventory purchase. Developed root cause reports to address problems with customer conversions, successfully revealing insights that boosted conversions by 45%. Developed, documented, and maintained data quality goals, standards, processes and all data integration of information between internal and external applications. • • Conducted professional data mapping, communicated with existing business clients, and participated in weekly team meetings with managers. Utilized SPSS and Minitab statistical software to track and analyze data. Utilized advanced Microsoft Excel, VLOOKUP and XLOOKUP functions to efficiently create pivot tables and pivot reporting. • • • Health Data Coordinator and Analyst Thawigs Multiconcept| Abuja, Nigeria | March 2019 - January 2020 • • • • • Supervised data entry and migration of approximately 20,000 patient case files into an EMR system, ensuring data accuracy and accessibility. This enabled seamless access for doctors and other staff significantly improving access to essential healthcare services and supporting efficient telemedicine operations. Performed comprehensive data cleaning and preprocessing using excel to ensure quality and consistency before integration into the EMR system. This helped minimize errors in patient records and streamlined future data access, supporting accurate medical decision making. Implemented advanced data handling techniques such as wrangling and process mapping to optimize data workflows. These strategies eliminated duplication, enhanced data flow and improved the efficiency of both staff and equipment ensuring a streamlined experience for clinical teams and patients alike. Trained and supported 29 end users including doctors, dentists, lab scientists and other healthcare professionals on the effective use of the EMR system, its features and applications. This training promoted user adoption, confidence and system reliability empowering healthcare provides to deliver improved patient care. Led the digital transformation of the health record system at 461 NAF Hospital reducing patient wait times and minimizing cases of misfiled or misplaced records. This transition to a digital system boosted operational efficiency by 83% enabling faster and more reliable patient care through easy access to accurate health records. Principal Dental Surgeon/Clinical Director 461 NAF Hospital| Kaduna, Nigeria | May 2015 - November 2020 • • • • Responsible for day-to-day administrative running of the dental clinic which include records keeping, budgeting, hiring, evaluation and monitoring of goals. Worked with other medical professionals in the aviation field to conduct Ab-initio medical screening, annual medical review for air and ground crew personnel. Diagnosed and treated oral infections, extracted teeth, preformed root canals and filled cavities with dedication to pain management. Devised strategies and plans for the clinical department according to standards for excellent service delivery and growth. VOLUNTARING EXPERIENCE Volunteer Member/Data Analyst Hardball Foundation| Lagos, Nigeria | January 2021 – Date • Collaborated with cross functional teams to analyze trends and optimize fund raising efforts by developing predictive models that forecast donation patterns resulting in more effective campaign planning. • Created detailed power BI reports and presentations to stakeholders, highlighting KPIs and the success rates of community development projects. Volunteer Member/Data Scientist (Remote) Health Gateway Virtual Hospital| Harare, Zimbabwe| August 2022 – June 2023 • Analyzed patient health records and telemedicine data to identify patterns and improve patient care. Furthermore, planned to develop ML models to predict patient outcomes based on historical health data aiming to assist healthcare providers in proactive patient care. Also envisioned models for early detection of high-risk patients to improve healthcare intervention strategies. • Proposed the design of a robust data infrastructure for real time data collection and monitoring using Apache Kafka. This was to streamline data ingestion and ensure seamless integration with existing healthcare management systems with a focus on accuracy and timelines for telemedicine services. Member, Board of Trustee Youth 360 Foundation| Lagos, Nigeria | June 2015 – October 2020 • Prepared foundation for forecasted demand levels through effective operational planning with other board members. • Managed partnerships and strategic business relationships including negotiating contracts and managing conflicts. • Designed, developed, tested and maintained Tableau functional reports based on user requirements.