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Abhishek Kumar 0834848640 | abhishzk.ie@gmail.com | linkedin.com/in/abhishzk/ | abhishzk.com | github.com/abhishzk WORK EXPERIENCE Speeir Ltd Athlone, Ireland Growth and Product Lead April 2025 – present • Driving product and technical strategy, leading MVP scoping and delivery, architecting full-stack solutions streamlining client onboarding and launching scalable services across web. Lookinit Remote Product Owner September 2024 – April 2025 • Led cross-functional product development for an AI-powered SaaS platform, applying agile methodologies to deliver scalable solutions aligned with user and business needs. • Streamlined cloud performance by reducing API response times by 30% through data-driven profiling and error diagnostics, improving service reliability. • Developed structured technical documentation and process flows to support integration and drive adoption of new backend services. APT, Technological University of Shannon Athlone, Ireland Analyst Intern May 2024 – September 2024 • Performed data analysis and designed dashboards for R&D insights, improving clarity in materials testing workflows across multidisciplinary teams. • Executed SQL-based validation scripts to ensure data integrity across automated measurement systems. Mastercard Dublin, Ireland Software Engineer - Payment Networks June 2022 - January 2023 • Contributed to developing and early deploying of NEXUS, an edge computing payment product, in South Africa and Europe. • Successfully migrated databases from Oracle to Postgres to the Mastercard Testing Facility, enabling production-like code testing for over 300 onboarded merchants. • Analysed and documented 27+ exception scenarios within a Spring Boot microservices application as part of the project. Configured logging to capture key data (timestamps, event types, user IDs) for Splunk analysis. • Increased SonarQube code coverage to 97% by effectively eliminating code smells, bugs, and vulnerabilities, resulted in improved test coverage for the Clearing Edge Interface test suite app. • Designed and implemented the integration of Clearing Edge Interface with Mastercard Integrated Processing (MIP), collaborating across teams to develop an event-driven transaction system, resulting in reduced authorization request processing time and an increase in financial transaction volume. Infosys BPM – EE Telecom Dublin, Ireland Business Process Consultant January 2022 – May 2022 • Conducted customer behavior analysis using CRM, NEST, and internal data tools to identify friction points and propose strategic process enhancements. • Built and iterated customer onboarding workflows using data insights, resulting in a 25% improvement in sales funnel conversion. • Collaborated with cross-functional stakeholders to ensure SLA compliance and maintained a 70% First Contact Resolution rate through analytical tracking and continuous improvement strategies. EDUCATION Technological University of Shannon Athlone, Ireland ME in Engineering Management, CS (GPA: 79.58%) Graduation Date: September 2024 Technological University of Shannon Athlone, Ireland BE in Software Engineering Graduation Date: July 2021 SKILLS Language: SQL, Python, Shell Scripting, R, TypeScript Data Validation & Reporting: Excel, Data Quality Assurance, Workflow Documentation Tools: Wireframe, Figma, Looker, Splunk, Docker, S&P CapIQ, Airflow, Jira, Confluence, Bitbucket, Power BI, Tableau, Collibra, Alation Techniques: Stakeholder Management, User Research, Project Management, DAMA-DMBOK PROJECTS • Data-Driven Dashboard: Analysed the development journey of India using Tableau and data from the World Bank. Collected and cleaned 30+ indicators to represent diverse aspects of economic growth and employed temporal and geospatial analysis. • Cost Analysis Models: Developed & evaluated 5 machine learning models (Ridge, Lasso, targeted data cleaning, hyperparameter tuning). Achieved superior performance with Ridge (Lambda Min): MSE 20.59, RMSE 4.54 (training). Maintained accuracy on unseen data: Test MSE 34.63, Test RMSE 5.88. Crucially, all 121 predictions fell within threshold. • Semantic Segmentation Model: Developed a CNN model that takes an image, performs localization, classification, and segmentation, and produces ground truth. Trained the model at 20 epochs with the slightest validation loss and achieved 96.4% accuracy. • Distributed System: Build a client application that sends all the HTTP requests GET/PUT/POST/DELETE. Build a server application that responds to all the HTTP requests using a Tomcat server. Used Java API for RESTful Web Services (JAX-RS). The data in the response is handled by an HSQLDB database. CERTIFICATIONS GTM Strategy, Business Intelligence, Product Analytics, Data Analytics, AWS Technology Project Management, Lean Six Sigma White Belt, Scrum Fundamentals
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