Olawale Osanyintupin

Osanyintupin Olawale Data Scientist & Statistician- - Lagos,Nigeria Data Scientist & Statistician with 6+ years’ experience applying predictive modeling, machine learning, and advanced analytics to solve business challenges in public health, energy, telecommunications, and finance. Proven record of delivering insights that drive strategy, optimize operations, and support organizational growth. Skilled in Python, R, SQL, and Power BI, with strong business intelligence and data visualization expertise. Advanced proficiency in Microsoft Office (Excel, Word, PowerPoint, Access, SharePoint) and experience in data warehousing. Adept at bridging technical analysis with actionable business recommendations. Core Skills Programming & Databases: Python, R, SAS, SQL, STATA, MATLAB Business Intelligence & Tools: Power BI, Tableau, Advanced Excel, Microsoft Office Suite (Word, PowerPoint, Access) Data Management: Data Warehousing, Big Data Analytics, Data Mining, ETL Processes Statistical & Machine Learning Methods: Predictive Modeling, Time Series, Bayesian Analysis, Regression, Econometrics, Experimental Design Domain Expertise: Public Health Analytics, Renewable Energy Forecasting, Climate Change Impact, Telecommunications, Financial Analytics Soft Skills: Stakeholder Engagement, Training & Mentorship, Consultancy & Project Management Experience Laboratory for Interdisciplinary Statistical Analysis (LISA), University of Ibadan Chapter (Affiliate of LISA, USA) (Remote) 2022 - To Present Designed and implemented predictive models to support public health outcomes and renewable energy forecasting. Collaborated with international partners on climate change modeling and epidemiological research. Published in peer-reviewed journals; research findings disseminated at international conferences. Contributed to the development of training programs for early-career statisticians in predictive modeling and AI. Supported data-driven projects by building analytical pipelines using Python, R, and SQL. STAT-CONSULTS INTERNATIONAL, Nigeria 2020 – Present Managing Director Led statistical, ICT, and data analytics projects for public and private sector organizations. Directed econometric and data-driven initiatives that informed climate adaptation and energy policy. Designed data warehouses and Power BI dashboards for reporting and decision support. Delivered advanced training programs, equipping 100+ professionals in Python, R, SQL, and BI tools. Advanced Analytics Consulting, Abuja, Nigeria Senior Data Scientist 2019 – 2020 Led predictive modeling and econometric projects to improve decision-making in health and renewable energy. Developed SQL-based data pipelines and BI reports to track epidemiological and energy consumption trends. Enhanced forecast accuracy by applying advanced time series models (ARIMA, LSTM). Mentored junior analysts, improving project turnaround and analytics quality. University of Ibadan, Department of Statistics, Nigeria Graduate Assistant / Statistician 2016 – 2018 Supported research in Bayesian modeling and econometrics applied to public health studies. Delivered tutorials in statistical software, SQL, and advanced Excel, improving student competency. Assisted in research outputs that contributed to peer-reviewed publications. Ovom Girls High School, Abia State, Nigeria 2013 – 2015 Mathematics & ICT Teacher Introduced interactive teaching approaches that improved student performance in mathematics and ICT. Designed and implemented ICT curricula that enhanced students’ computational and analytical skills. Leveraged digital tools and software applications to improve classroom engagement and learning outcomes. National Bureau of Statistics (NBS), Nigeria Internship 2012 – 2013 Collected and analyzed national survey data to support socio-economic reporting. Streamlined workflows for data entry and cleaning, reducing processing errors. Projects & Achievements Developed data warehouse & BI dashboards (Power BI, SQL) for a public health survey project, reducing reporting time by 40%. Built renewable energy demand prediction models (ARIMA, LSTM, CNN-LSTM) improving forecast accuracy by 20%. Designed customer churn prediction model for e-commerce, achieving 87% accuracy. Education University of Ibadan, Nigeria M.Sc. Statistics – Distinction (2018) B.Sc. Statistics (Biometry) – First Class (2013) Publications & Conferences Renewable Energy Projections for Sub-Saharan Africa: Journal of Environmental Statistics (2020). Determinants of Desired and Actual Number of Children in Ghana & Nigeria: African Journal of Applied Statistics (2018). Speaker: Renewable Energy Data Analytics Workshop – African Energy Commission (2021). Professional Affiliations Member, International Biometry Society (IBS) Member, Professional Statisticians Society of Nigeria (PSSN)