Hi, I’m
SHOLA ELEKAN
Liverpool,United Kingdom
Summary
Motivated and results-driven Analyst with a proven track record in data analytics and process mapping. Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency. Driving business effectiveness through recommendations based on data findings.
Overview
7
years of professional experience
Work History
TEKNEWLOGY GROUP, DATA SCIENCE INTRUCTOR, ATLANTA, GA, UNITED STATE
Data Science Manager
07.2021 - Current
Job overview
- With over six years of experience, adept at converting complex data into actionable insights using advanced tools such as Tableau, Power BI, Python, and R
- Background in statistical modelling, predictive analytics, and machine learning is grounded in robust understanding of database management
- Excel in streamlining processes and driving strategic business decisions through innovative data analysis
- Committed to leadership through collaboration and clear communication, I am dedicated to propelling business growth by leveraging analytical expertise and nurturing strong relationships with stakeholders
- CORE EXPERTISE AND TECHNICAL PROFICIENCIES
- Data Science : Tableau | Power BI | Interactive Dashboards | Data Storytelling |Predictive Analytics | Hypothesis Testing | Regression Analysis | Time Series Analysis | Supervised and Unsupervised Learning | Classification | Clustering | Neural Networks | ERP Systems | SQL Queries | Data Cleaning | Data Integration | ETL Processes | Process Optimization | Data Integrity Checks | Comprehensive Database Administrator | NLP |Azure Database Management | Accuracy Assessment | Solution Development | Trend Analysis | XML| Predictive Insight Generation | Data Project Lifecycle | Requirement Analysis | Outcome Delivery | Performance Metrics Setting (KPIs/OKRs) |Process Documentation | Reporting Standards |Analytical and problem solving | Communication| Teamwork | Drive and Initiative | Leadership
- Tools: R | Python | Power BI | Advance Excel | Tableau | SQL | MYSQL Server |Azure Database Service Methodologies: Regression Analysis| Time Series Analysis | Predictive Analysis |Neural Network | Supervised Learning | Unsupervised Learning | CRISP-DM | TDSP (Team Data Science Process), Orchestrated design and implementation of data science training initiatives, leveraging key tools including R, MySQL, spreadsheets, Tableau, and Power BI, fostering 50% improvement in data-driven decision-making capabilities within company
- Spearheaded development of comprehensive data science training programs, integrating essential tools such as R, MySQL, spreadsheets, Tableau, and Power BI, resulting in 40% increase in data literacy across organization
- Delivered in-depth training in data visualization using industry-leading tools like ETL, Tableau and Power BI
- Conducted regular assessments to gauge and enhance learning outcomes, adapting teaching methods to meet diverse learning needs
- Achieved high satisfaction rates among participants, leading to repeat business and strong client relationships
- Ensured curriculum remained relevant and up to date with latest industry developments and best practices in data science
- Key Achievements:
- Led data science training, covering R, ETL, SQL, Tableau, and Power BI
- Developed practical, industry-aligned curriculum, continually updated to reflect latest trends
- Achieved high satisfaction and repeat business through effective course tailoring and regular outcome assessments."
FAMILY HEALTH SUPPORT CENTER, DATA SCIENTIST, AKURE, NIGERIA
Data Scientist
05.2020 - 06.2021
Job overview
- Utilized R for data analysis on over 1.2 million data points to enhance decision-making, leading to 20% increase in operational efficiency at Family Health Support Service
- Developed predictive models that accurately identified patients at 30% higher risk for specific health conditions, resulting in 15% improvement in early intervention rates
- Collaborated on design of 10+ experiments and clinical trials, analyzing patient data to refine treatment efficacy, which contributed to 10% optimization of healthcare protocols
- Analyzed patient demographics and disease trends across 500,000+ patient visits using R and Tableau, aiding formulation of healthcare policies that improved resource allocation by 25%
- Implemented advanced machine learning techniques that heightened diagnosis accuracy by 40%, enhancing treatment recommendations and contributing to Family Health Support Centre's reputation for clinical excellence
- Key Achievement:
- Implemented ETL and ERP enhancements to increase data accuracy by 35% and speed up decision-making by 50%, developed predictive model reducing readmissions by 25%, and led Tableau dashboard training that boosted data system adoption to 80%.
UNION BANK PLC, LAGOS, NIGERIA
DATA ANALYST
04.2019 - 05.2020
Job overview
- Led groundbreaking research project focusing on predictive analytics, successfully developing machine learning model to predict account dormancy
- This model significantly enhanced customer retention strategies, reducing account dormancy rates by 30%
- Spearheaded implementation of advanced intrusion detection system, improving company's cybersecurity posture and reducing security breach incidents by 40%
- Played pivotal role in customer segmentation initiative, employing sophisticated data analysis techniques in Tableau
- This resulted in 25% increase in marketing campaign effectiveness by targeting specific customer groups more accurately
- Conducted comprehensive supply chain analysis that identified key efficiency bottlenecks
- Insights provided led to revamp of supply chain process, improving overall operational efficiency by 20%
- Key Achievement:
- By developing predictive models for account dormancy and optimizing customer segmentation and supply chain processes through data-driven innovations.
AIICO INSURANCE, Lagos , NIGERIA
Data Analyst
03.2017 - 03.2019
Job overview
- Utilized R, SQL, and ETL processes to enhance data integration, increasing efficiency by 40% and improving insurance analytics accuracy by 30%
- Developed interactive dashboards using Tableau and Power BI, enhancing customer behaviour insight by 25% and financial performance tracking by 35%
- Assisted in ERP system integration, improving data-business process alignment by 20% and operational efficiency by 15%
- Implemented R-based machine learning models, boosting risk assessment precision by 50% and customer segmentation effectiveness by 20%
- Monitored and analyzed KPIs, using data visualization to increase reporting precision by 30% and decision-making timeliness by 25%
- Key Achievement: Drove 40% increase in data process efficiency, enhanced financial insights by 35% with dynamic dashboards, and boosted operational efficiency by 20% through ERP upgrades, underpinned by machine learning that improved risk analysis by 50%.
Education
Covenant University , Ota
Bachelor of Science from Computer Science
01.2021
Federal Polytechnic Ado-Ekiti , EKITI
Ordinary National Diploma from Mathematics and Statistics
12.2006
Skills
- Statistic analysis
- Enterprise resource planning
- Data collection and analysis
- Data modelling
- Data validation
- Trend forecasting
- Data visualisation
- ETL
Languages
English
Advanced
Timeline
Data Science Manager
TEKNEWLOGY GROUP, DATA SCIENCE INTRUCTOR
07.2021 - Current
Data Scientist
FAMILY HEALTH SUPPORT CENTER, DATA SCIENTIST
05.2020 - 06.2021
DATA ANALYST
UNION BANK PLC
04.2019 - 05.2020
Data Analyst
AIICO INSURANCE
03.2017 - 03.2019
Covenant University
Bachelor of Science from Computer Science
Federal Polytechnic Ado-Ekiti
Ordinary National Diploma from Mathematics and Statistics
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