Data Science - Automation Solution Lead
Nielsen
Total years of experience :0 years, 9 Months
• Provided leadership and bridged the gaps across Technology, Business, and Data Acquisition Solution team via a coordinated efort to deliver the agile product development promise.
• Owned design of the web-based application that supports in Planning the Resources in an optimized way to enable Scheduling Services and help in Route Optimization & real time insights update for operational leadership to act
• Leveraged an agile approach to deliver innovative tech solutions to support business needs and customer requirements.
• Served as an expert user of Jira, Confluence, Draw.IO, OKR framework, Google Visualization Studio, and more; wrote documentation for training and standard operating procedures.
• Inherited a web app with multiple versions in 100+ markets, requiring 90% of development capacity in fixing code-related bugs and non-standardized KPIs.
─ Identified the root causes and key issues and proposed a solution to introduce a scalable application to help in solving problems in a standard and efficient way.
─ Built consensus and managed stakeholders' expectations to drive change and reorganized the development teams to adopt a standard code deployment and ensure 90% of bugs were fixed within 3 months. Realigned the requirements prioritization process with business analyst in ensuring resource allocation for the right priorities.
─ Enabled 80% of the development capacity for core development efforts, with only 20% of the capacity needed to support the bug fixes, and without BAU disruptions. Built higher number of POCs (one every 6 weeks) that are currently filling the innovation pipeline across Resource Planning, Estimation. and Route Optimization.
• Inherited application of route optimization that was fully adopted by business due low performance, quality, and reliability.
─ Leveraged data science thought leadership to identify key quality benchmark lapses and aligned development teams to acknowledge and prioritize error fixes. Reinforced the process of thorough testing to facilitate deployment efforts.
─ Enhanced capacity by 20% within the COEs and automated end-to-end process of identifying KPIs gains.