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Data Science with 3+ years in workforce intelligence & AI-driven analytics
Results-driven Data Analyst and Workforce Intelligence Specialist with 3+ years of progressive experience at Zinnov Management Consulting, delivering data-driven insights across technology, healthcare, retail, and biotechnology domains. Proven expertise in skills taxonomy design, role mapping, gap analysis, and workforce transformation analytics, with hands-on experience supporting Fortune 500 workforce intelligence initiatives. Proficient in building automated dashboards, KPI frameworks, and predictive analytics models using Power BI, Python, SQL, and Tableau. Actively engaged with Generative AI tools, including Anthropic's Claude ecosystem (Claude Code, API integration, Skills Agent, and MCP), to drive AI-powered workforce planning and talent intelligence solutions. Adept at cross-functional stakeholder collaboration, translating complex data into actionable business strategies that improve operational efficiency, reduce time-to-fill, and enable future-ready workforce transformation.
Annamalai University
MBA (Finance) · Finance
August 1, 2021 – June 30, 2023
Thiruvalluvar University College of Arts & Science
Bachelor of Commerce (B.COM) · Commerce
August 1, 2017 – June 30, 2020
Zinnov Management Consulting
Research Analyst
January 1, 2024 – Present
Chennai, Tamil Nadu, India
Zinnov Management Consulting
Associate Research Executive
February 1, 2023 – December 1, 2023
Chennai, Tamil Nadu, India
NAB Job Role Mapping with Draup Platform Roles
June 1, 2026 – Present
Mapped 150+ NAB job roles to Draup platform role taxonomy, improving workforce intelligence alignment and talent analytics accuracy across the organization. Designed a structured role mapping framework to bridge legacy job architectures with emerging technical role definitions, enabling standardized workforce reporting. Delivered role-level insights that supported strategic workforce planning, talent acquisition targeting, and headcount optimization for NAB stakeholders.
Skills Classification - Emerging, Core & Traditional Skills for NAB Job Roles
June 1, 2026 – Present
Classified and mapped 500+ skills across NAB job roles into Emerging, Core, and Traditional categories, enabling data-driven future workforce planning and skills intelligence initiatives. Developed a skills taxonomy framework aligned with industry trends to identify future-critical capabilities and prioritize workforce transformation efforts. Enabled L&D and HR teams to make evidence-based decisions on upskilling investments by providing a structured skills categorization model.
RPI-Based Ahead-of-Transition Mapping for NAB Job Roles
June 1, 2026 – Present
Developed RPI (Role Progression Index)-based ahead-of-transition recommendations for NAB job roles, identifying viable career pathways and workforce mobility opportunities. Leveraged predictive workforce analytics to map current roles to future-aligned positions, supporting proactive talent planning and internal mobility strategies. Delivered career pathway intelligence that enabled HR teams to design targeted transition programs and reduce dependency on external hiring for critical roles.
Learning & Development - Skill-Based Course Recommendations
June 1, 2026 – Present
Designed and executed an L&D analytics initiative to generate personalized course recommendations based on employee skill profiles, capability gaps, and workforce development priorities. Integrated skills gap data with learning content libraries to deliver targeted upskilling and reskilling recommendations, improving workforce readiness scores. Collaborated with L&D and HR stakeholders to align learning pathways with business capability requirements, enhancing workforce capability development ROI.
Skills Gap Analysis NAB Leading Roles vs. Ahead-of-Transition Job Roles
June 1, 2026 – Present
Conducted a comprehensive skills gap analysis between current NAB leading roles and future ahead-of-transition positions, quantifying capability deficiencies across role families. Built comparative skills benchmarking models to identify critical skills shortfalls, enabling HR and talent teams to prioritize targeted workforce readiness programs. Delivered actionable gap analysis reports that informed talent strategy, succession planning, and workforce capability investment decisions.
Skills & GenAI Tools Recommendation for NAB Job Roles Based on Workloads
June 1, 2026 – Present
Analyzed workload distribution and task composition across NAB job roles to provide data-driven recommendations for GenAI tool adoption and workflow automation opportunities. Mapped generative AI tools (including LLMs and productivity automation platforms) to specific role-level tasks, identifying high-impact automation use cases. Delivered a strategic GenAI readiness assessment that supported NAB's AI transformation roadmap, improving projected operational efficiency by quantifying potential automation gains.
Role Mapping for Industry-Based Job Roles (Fortune 500 Clients)
June 1, 2026 – Present
Spearheaded a Strategic Workforce Planning Center of Excellence (COE) to align global talent architecture for Fortune 500 clients including Pfizer, IBM, and Eaton. Architected a comprehensive role mapping framework for 150+ job functions, bridging the gap between legacy organizational structures and emerging technical role requirements. Applied predictive market analytics to identify skill volatility trends and forecast emerging job functions, ensuring client readiness for industry-wide workforce shifts. Generated workforce insights that optimized hiring strategies, resulting in a 15% reduction in time-to-fill for critical engineering and R&D roles.
Python for Data Analytics
Simplilearn
June 1, 2026 – Present
Python Data Handling Bootcamp
Alex The Analyst
June 1, 2026 – Present
Data Visualisation with Power BI
Great Learning
June 1, 2026 – Present
Claude Code in Action
Anthropic
June 1, 2026 – Present
Introduction to Skills Agent
Anthropic
June 1, 2026 – Present
SQL for Data Analytics
Simplilearn
June 1, 2026 – Present
Business Analysis Basics
Simplilearn
June 1, 2026 – Present
Tally ERP 9
CSC
June 1, 2026 – Present
Claude with Anthropic API
Anthropic
June 1, 2026 – Present
Introduction to Model Context Protocol (MCP)
Anthropic
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning workforce intelligence, skills gap analysis, L&D recommendations, and GenAI tool integration across various industries (technology, retail, healthcare, biotechnology), indicates adaptability and a broad interest in applying data science to complex business problems. Their experience with Fortune 500 clients and leading a team suggests a professional and collaborative work ethic. The target role of Data Science aligns well with their demonstrated analytical and predictive modeling skills, particularly in the HR/Talent domain, which is a specialized but growing area for data science application.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and collaboration skills through mentoring a team of 7 analysts and collaborating with senior stakeholders. Their experience in identifying and resolving workflow inefficiencies, redesigning reporting structures, and integrating digital tools indicates a proactive and operational mindset. The 'GO THAT EXTRA MILE Award' further highlights their commitment and client-centric approach, suggesting a good fit for dynamic and results-oriented environments.