Data Analyst Analytics
Resume:
Phoenixville, PA
j ***.****.******@*****.***
Jinu Daniel
Professional Summary
Results-driven IT professional with over 15 years of experience, including 5 years in Data Analytics and expertise in Product and Program Management. Skilled in deriving insights from complex data using SQL, Python, and Excel, with a strong focus on data warehousing, business intelligence, and data quality. Proven track record in leading product lifecycle management and cross-functional teams to enhance operational efficiency. Adept in agile methodologies and data visualization, consistently delivering impactful results.
Core Competencies:
Data Science Skills
Data Analysis: Alteryx (Certified Designer Core), Python, Excel
Statistical Analysis: Python (pandas, SciPy, statsmodels)
Data Cleaning & Preparation: Data wrangling, ETL (Extract, Transform, Load)
Data Visualization: Excel, Tableau, Python (Matplotlib, Seaborn)
Database Management: SQL, NoSQL
Management Skills
Product Management: Oversee end-to-end lifecycle management and roadmap development.
Test Management: Ensure end-to-end quality ownership, best practices, and execution.
Product Quality Strategy: Plan, implement, and enhance quality strategies.
Cross-Functional Collaboration: Engage stakeholders and coordinate teams.
Problem Solving: Conduct advanced troubleshooting and issue resolution.
Continuous Improvement: Optimize processes and track performance metrics.
Team Building: Mentor, lead, and develop teams.
Agile Methodologies: Utilize Jira for sprint planning and backlog management.
Client Engagement: Assess customer needs and deliver solutions.
Vendor Management: Manage relationships with LexisNexis and IBM.
Strategic Planning: Set goals and develop business cases.
Innovation: Identifying opportunities for new features and product enhancements Education
MS in Business Analytics & Information Management, University of Delaware, 2023
JPMC-University of Delaware Certificate of Data Science and Analytics, 2020
Master of Computer Applications, Sikkim Manipal University, India, 2005
Bachelor of Information Technology, Sikkim Manipal University, India, 2003 Professional Experience:
JP Morgan Chase – Wilmington DE (02/2013 – Present) Data Scientist Jun 2021- Present
Data Identification and Management: Identify required data to support the analytics, collect, pre- process and organize data from various sources, ensuring accuracy and consistency.
Data Analytics: Perform EDA, descriptive and predictive analytics to uncover trends, patterns, and predict and derive insights using statistical techniques and data mining. Phoenixville, PA
j ***.****.******@*****.***
Jinu Daniel
Data Quality: Ensure the accuracy, integrity, and completeness of data through rigorous testing, validation, and documentation processes. Report data quality issues to the data owner.
Data Visualization and Reporting: Developed and maintained dashboards, reports, and visualizations to present findings clearly and prepared detailed presentations to communicate analysis results and recommendations to non-technical stakeholders.
Collaboration: Work closely with cross-functional teams to understand business requirements, provide analytical support, and deliver data-driven solutions.
Performance Monitoring: Track and analyze key performance indicators (KPIs) to measure business performance and identify areas for improvement.
Tool Utilization: Utilize data analysis tools and software (e.g., SQL, Python, R, Excel, BI tools) to streamline data processing and analysis.
Continuous Improvement: Stay updated with industry trends and best practices to continuously enhance analytical methodologies and tools.
JP Morgan Chase – Technical Program Manager (Jan 2018 – May 2021) Delivery Done Right Program Lead
Program Overview: Program aimed at ensuring product readiness for operations by establishing a stable verification environment, robust data sourcing strategies, comprehensive monitoring and alerting systems, and effective mission control. It also included operational support for incident management and gating measures for product hardening to deliver high-quality services with minimal customer impact across the value stream.
Led the Delivery Done Right Program to ensure product readiness through stable verification environments, robust data sourcing, and effective incident management.
Conducted data analysis using Alteryx and Tableau to generate actionable insights and reported key accomplishments while ensuring adherence to Agile best practices.
Collaborated with customers to identify new feature requirements, developed JIRA specifications, and managed the tech team's backlog to enhance test data creation.
Collaborated with multiple product teams to identify issues, share actionable insights from data analysis, and assist in adopting a structured 12-step best practices framework.
Partner with the IBM team to pinpoint gaps in selected products and develop an operating model focusing on Contract Testing, Service Virtualization, and In-Sprint Effectiveness. ADE AI/ML Product Lead and Agility Lead
AI/ML Product Strategy: Spearheaded the development and management of comprehensive AI/ML product roadmaps, aligning them with strategic business objectives and technological advancements.
Cross-Functional Collaboration: Partnered closely with Data Scientists and Product Owners to craft and prioritize backlogs, ensuring alignment with product vision and market needs.
Agile Excellence: Championed Agile best practices to drive the efficient and effective delivery of cutting-edge AI/ML solutions, fostering a culture of continuous improvement and innovation. Product Quality Lead – CCB-OPT Fraud Risk (Jan 2015 – Dec 2017)
I designed and implemented quality strategies for six critical applications, focusing on robust risk management and fraud detection. By leading a team of testers, I ensured thorough validation, reliable performance, and continuous process improvements to enhance product quality. Phoenixville, PA
j ***.****.******@*****.***
Jinu Daniel
Program Test Manager – Click to Sign and E-Letters (Feb 2013 – Dec 2014)
I led enterprise-level programs from the quality side, directing comprehensive test management and defect resolution to ensure high-quality, end-to-end releases. These significant CCB initiatives spanned multiple quarterly releases and impacted numerous applications, with a focus on collaborative execution and real-time problem-solving. PREVIOUS EXPERIENCE:
• American Express, Weston FL - Test Manager (2008 - 2012) Technical Skills
MS Office Suite: PowerPoint, Excel
Programming Languages: Python
CERTIFICATION:
• AWS Cloud Practitioner
• Data Science & Analytics, UD
• Certified Scrum Master
Databases: SQL
Tools: Alteryx, Tableau
• Alteryx Designer Core
• AWS ML Certification Cohort
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