ERICK MAU
Nairobi
Summary
Top-notch Insights, Data and AI Lead with proven track record of success in leading and growing organizations. Strong background in strategic planning, financial management, and team development. Skilled in identifying opportunities and implementing practical business strategies with a commitment to staying informed about the latest trends, technologies, and best practices.
Overview
6
6
years of professional experience
12
12
years of post-secondary education
Work History
Insight, Data and AI Lead
Airtel Africa PLC
5 2019 - 4 2024
- Lead data analytics team in identifying, analyzing and interpreting trends or patterns in complex data sets using statistical techniques and provide ongoing reporting dashboards
- Oversee data management, warehousing, integration, and migration; business intelligence; analytics; and delivery across banking, merchants, savings and loans
- Lead development and implementation of data and advanced analytics strategies for Airtel Money reports in emerging markets in East, Central and West Africa
- Interact with business leaders and functional experts to understand current and future business challenges and needs and develop long-lasting client relationships
- Follow-up and support with industry trends and emerging technologies in data and analytics and prepare briefings on key issues and strategic developments relevant for Airtel Africa PLC
- Provide subject-matter expertise on data-related topics as well as consultative guidance for data management and governance
- Develop data, machine learning and artificial intelligence models that improve processes and add strategic value to Airtel Africa PLC
- Work closely with partners to understand business needs and develop tailored-made Airtel Money solutions
- Provide technical knowledge, direction and training to Airtel Money team to produce quality deliverables on time and on budget
- Build and promote strong partner relationships by understanding their needs and proposing digital initiatives to serve their needs
- Identify opportunities to enhance Airtel Money Programs through data analytics, identify and formulate research questions to be studied through data analytics, define data analysis frameworks and manage data analysis process
- Developing business proposals and presentations for banking integration and UAT testing
- Represent data as strategic business asset for decision-making with Airtel Africa partners
- Understand Key Performance Measures and Indicators that drive company performance measurement and reporting, as well as analytics across functions and understand how these metrics and measures align and track against overall business strategies, goals and objectives
- Present to Airtel Money project committee and directors Airtel Money project status, recommendations and action plans
- Continuously evaluate, select and implement new data processing technologies and analyze their suitability and compatibility with internal approved infrastructure
- Owning data quality end-to-end for migrated data and validity of migration processes and operations
- Provide summary reports on various processes, including volume forecasting
- Provide ample opportunity to analyze various operational aspects of business, including data gathering for determining strategic direction of service delivery organization
- Review and update of data migration and data cleansing methodologies
- Provide thought leadership on development direction of data capture and analytics pipeline to account for rapidly scaling data volumes while maintaining performance, excellent data quality and uptime
- Providing and facilitating involvement of subject matter experts for key components of strategy during formulation stage
- Core Contributions: Supported growth in aggregated Airtel Money data for 14 OPCOs under Airtel Africa, boosting annual revenues threefold in less than 2 years
- Developed merchant interoperability, supporting online merchant migration to new USSD
- Developed deep familiarity with mobile money program data assets with over $300 million investment in Airtel Money Africa
- Owned MIS reporting to local and HQ management, including site-wise and shop profitability reports, and charted out a plan with concerned teams for resource and data optimization; analyzed and approved proposals for new site and shop rollouts.
- Performed root-cause analysis on data-related system problems to recommend or execute corrective action
- Established a culture of data-driven decision-making, fostering collaboration among cross-functional teams
- Streamlined data management processes for improved efficiency and accuracy across the organization
- Analyzed large amounts of data to identify trends and find patterns, signals and hidden stories within data
- Leveraged text, charts and graphs to communicate findings in understandable format
- Assessed large datasets, drew valid inferences and prepared insights in narrative or visual forms
- Championed the importance of data literacy across all levels of the organization, offering training and support for employees seeking to expand their knowledge in this area
- Used business objects, business intelligence and other reporting tools to extract data from data solutions and data warehouses
- Led a team of data scientists and analysts to deliver actionable insights, driving business growth and innovation
- Established and maintained strong relationships with customers, vendors and strategic partners
- Managed relationships with technology vendors, optimizing investments in analytics tools and services
- Enhanced data-driven decision making by implementing advanced analytics methodologies and tools
- Mentored junior staff members in best practices for data analysis and interpretation, fostering a high-performance team environment
- Drove continuous improvement initiatives within the analytics function, implementing rigorous performance metrics to assess progress toward organizational goals
- Established a culture of data-driven decision making, fostering collaboration among cross-functional teams
- Oversaw the creation of predictive models, enabling proactive business decisions and risk mitigation strategies
- Developed comprehensive data strategies, aligning with organizational goals and objectives
- Directed technological improvements, reducing waste and business bottlenecks
- Developed and implemented data collection systems and other strategies to optimize statistical efficiency and data quality
- Championed the adoption of cutting-edge technologies, such as machine learning and artificial intelligence for business optimization
Senior Officer - Data Analyst (Big Data & Artificial Intelligence)
Bharti Airtel – Centum Learning
06.2016 - 04.2019
- Supported knowledge management through development of talking points, case studies, and presentations
- Ensure business cases for all new products in innovation road map are prepared within set timelines
- Ensure that data related requirements for protecting sensitive data are clearly defined, communicated and well understood
- Developed and maintained relationships with decision-makers and key partners
- Identified transformation opportunities based on thorough understanding of digital transformation and emerging technologies in telecommunications sector
- Contributed to business development and proposal development efforts
- Facilitated Chief Information Officer’s events to create awareness of technology transformation offerings in market
- Contributed towards meeting expected revenue numbers as agreed with leadership
- Managed opportunity lifecycle within pipeline
- Provided summary reports on various processes, including volume forecasting
- Ensured building of data validation scripts before data upload cycles
- Developed deep familiarity with mobile money program data assets, analysis and desk research on key Airtel money topics
- Worked closely with management on opportunity life cycle development, from proposals preparations to delivery, and billings
- Provide ample opportunity to analyze various operational aspects of business, including data gathering for determining strategic direction of service delivery organization
- Develop and maintain documentation/manuals on system configuration or setup; carry out technical user training as required to enable users to interpret BI reports; as well as deal with data, dashboards and report queries from users and resolve them accordingly
- Automated data analysis and reporting requirements to ensure timely delivery of sales, customer service, and mobile money reports
- Creation, scheduling, testing, deployment, and maintenance of data pipeline from different sources to required destination with required transformations for reporting
- Core Contributions: Spearheaded and led Erlang Contract closure (unique contract entered by Bharti for acquiring IOT equipment) with zero un-reconciled difference, well-appreciated result by top management
- Led various automation projects like SRN data pipeline (Site return note), site-on-air data module and CIP
- Prepared new site performance and analyzed pre- and post-launch scenarios; validated ROI (return on investment) for new site rollout proposal for both 3G and 4G.
- Held monthly meetings to create business plans and workshops to drive successful business
- Provided reporting for forecast analysis and ad-hoc reporting in support of decision-making
- Managed multimillion-dollar budgets with precision, optimizing resource allocation and reducing overall expenses
- Advised executive leadership on business strategy development by providing insightful analysis of industry trends, competitive landscape assessments, and risk mitigation recommendations
Data Analyst
The Cooperative Bank of Kenya
09.2013 - 05.2016
- Gather information from business users to understand their detailed requirements and expectations, and analyze use case requirements from BI to determine operational problems
- Define data modelling requirements, gather and validate information, apply judgement and statistical tests and develop data structures to support generation of business insights and strategy
- Build visualizations to summarize and make presentations to business and other key stakeholders
- Filter, clean, and review reports, printouts and performance indicators to locate and correct code problems
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing trends, business strategies, pricing and business models, sales and methods of operation
- Secure BI solutions by putting adequate controls in place and restricting access to programs by users in accordance with requirements of Bank
- Collecting data on customers, competitors and marketplaces and consolidating information into actionable insights, reports and presentations with strong emphasis on data visualization
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
- Core Contributions: Contributed to macro-economic impact analysis as well as data modelling and analysis
- All reports compiled and analyzed with over 90% accuracy.
- Developed complex dashboard and reporting tools to track business performance metrics
- Improved decision-making processes with accurate data analysis and visualization techniques
- Assisted with creating data cubes and OLAP models to improve data analysis
- Utilized data visualization tools to effectively communicate business insights
- Designed and developed data pipelines to acquire, clean and process data
- Identified patterns and trends in large data sets and provided actionable insights
- Provided technical support for troubleshooting analytics and reporting issues
- Optimized company resources allocation with detailed forecasting models based on historical data analysis
Education
Master of Science - Mathematical Finance
Strathmore University
Nairobi 05.2018 - 10.2022
Bachelor of Science - Actuarial Science
Kenyatta University
Nairobi 09.2008 - 12.2012
High School Diploma -
Usenge Boys High School
Siaya County 02.2002 - 11.2005
Skills
Service Delivery Oversight
undefinedCore Expertise Strategic Leadership Traits
- Deep understanding of data and analytics technologies
- Building data warehousing
- Excellent written & verbal communication skills
- SQL clustering and partitioning
- Experience in Artificial Intelligence and Machine Learning
- Cross-functional Leadership
- Presentation & Data Visualization
- Data Management and performance
- Building MIS systems
- Ability to translate insights across business and technology
- Focus on staff development and Training
- Provision of guidance and technical advice
- Hands-on experience with modern Data & AI Platforms
Professional Training Certificates
- Institute and Faculty of Actuaries, United Kingdom, Professional Qualification: Actuarial Statistics (CS1), Actuarial Mathematics (CM1), 11/2022, Ongoing
- Level 2 Candidate in the Chartered Financial Analyst (CFA) Program, 01/2020, 07/2022
- Strathmore University, SQL, R, Power BI, Advanced Excel, 11/2016, 12/2017
- ICDL- Institute of Advanced Technology, 01/2012, 12/2012
Tel
(KE) 0728 347 953/ 0732042243
Career Profile Summary
I am Insight, Data and AI Lead offering next-level support to the operations leadership in identifying and leveraging opportunities for cost-savings and revenue enhancements. Currently, I navigate the end-to-end data migration performance for a $400M-turnover mobile money function in a tier-one Telco operating in the APAC and Africa regions, with over 8 years of high impact leadership in data migration, data integration, driving data capture, logging design, building reliable data pipelines, and designing insightful datasets that underpin decision making at Airtel Africa. I lead a team responsible for defining and delivering key analytical reports, providing forecasting support, developing reporting and variance closures, delivering on daily and monthly mobile payment statistics, and providing key support and recommendations on performance. I am also a key contributor in the development of innovative data analytics techniques including analytics pipeline, curated datasets from granular and disparate sources, post-experimentation analysis, production grade SQL, clustering and partitioning, ambiguous requests, quality, cleansing, and loading. My contribution and success have been achieved by mastering the dynamics of internal and external stakeholders’ needs in the Fintech industry to execute practical business analysis solutions. I am looking forward to join a team that will explore my skills and experience to develop and own an analytics pipeline that provides curated data to the wider business and stakeholders.
References
- Mr. Caroli Mukunga, Group Human Resources-Africa, Centum Learning, +254 733726974, carolimukunga@yahoo.com
- Dr. Gladys Kimutai, Senior Lecturer, Kenyatta University, +254 722-298913, gladyskimutai@yahoo.com
- Dr. Meleah Oleche, Senior Lecturer, Strathmore University, +254 718763493, moleche@strathmore.edu
Timeline
Master of Science - Mathematical Finance
Strathmore University
05.2018 - 10.2022
Senior Officer - Data Analyst (Big Data & Artificial Intelligence)
Bharti Airtel – Centum Learning
06.2016 - 04.2019
Data Analyst
The Cooperative Bank of Kenya
09.2013 - 05.2016
Bachelor of Science - Actuarial Science
Kenyatta University
09.2008 - 12.2012
High School Diploma -
Usenge Boys High School
02.2002 - 11.2005
Insight, Data and AI Lead
Airtel Africa PLC
5 2019 - 4 2024
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