Deeksha Gainan

AI and Machine Learning-Driven Automation:

• Compliance Automation: Developed an AI-powered regulatory compliance solution, reducing turnaround time from 3 days to 2 hours through automated risk checks and validation workflows.
• Live Bot for Query Management: Deployed a real-time AI bot to manage customer and partner queries, cutting the average resolution time from 24 hours to a few seconds.
• Bureau Check Automation: Engineered an automated bureau check integrated with eligibility logic, enhancing speed, accuracy, and customer experience in decision workflows.

Digital and Technical Transformation:

• Led multiple initiatives to integrate digital tools and automation strategies, driving scalability, and improving operational efficiency.
• Developed and implemented in-house recruitment system encompassing career portal, resume parsing, JD-CV match %, WhatsApp-based candidate engagement, dynamic rejection workflows, and fully automated offer generation, eliminating manual intervention and optimizing hiring lifecycle.

Data-Driven Decision Making:

• Developed live dashboards and established key performance indicators (KPIs) to monitor and optimize process performance, ensuring proactive issue resolution.
• Established effective capacity planning methods and frameworks for departmental operations.

Talent Mobility and Leadership Pipeline Development:

• Led internal talent reviews to identify growth opportunities and design progression tracks aligned with both individual career goals and organizational needs.
• Partnered with learning teams to develop leadership readiness frameworks, strengthening internal succession planning, and building a future-ready leadership pipeline.
• Designed and implemented a succession planning roadmap, outlining critical roles, potential successors, and targeted development plans to ensure leadership continuity, and minimize business disruption.

People Analytics and Automation:

• Designed and implemented advanced Power BI dashboards and reporting frameworks, providing real-time visibility into key metrics (hiring trends, workforce productivity, budget adherence), resulting in a 15% increase in operational efficiency.
• Led the end-to-end implementation and customization of HRMS platforms (DarwinBox, TurboHire), including defining project scope, ideating solutions, creating BRDs, and designing streamlined processes.
• Developed and implemented a comprehensive compensation benchmarking system, reducing compensation-related discrepancies by approximately 12%, and improving employee satisfaction with pay packages.
• Streamlined HR processes through automation, reducing manual tasks by up to 70%, enabling a focus on strategic initiatives, and enhancing overall productivity.
• Led an attrition analysis project to identify turnover drivers, delivering insights that led to targeted retention strategies, including career development initiatives, and revised compensation structures. This resulted in attrition being added as a key parameter in managers' KRAs.

Talent Acquisition:

• Led talent acquisition initiatives across diverse business functions (investments, operations, technology), aligning recruitment strategies with organizational goals.
• Collaborated with department heads to define role specifications, refine interview frameworks, and implement innovative sourcing strategies, resulting in a 30% reduction in time-to-hire through ecosystem partnerships, targeted referrals, and alternative sourcing channels.
• Pioneered campus engagement programs (pre-placement talks, career fairs, structured internships) to build early-career talent pipelines, and strengthen employer branding at top-tier institutions.

Organization Design, Workforce Planning, and Budgeting:

• Spearheaded the development of agile organizational structures and headcount strategies, aligning with revenue projections, succession planning, and long-term business growth.
• Designed and implemented productivity models to optimize team configurations and adaptability to business needs.
• Led the organizational budgeting process, including cost forecasting, variance analysis, and leadership updates, providing data-driven insights to support strategic, cost-effective growth decisions.
• Directed cross-functional initiatives to build capacity planning and headcount forecasting models, enabling informed hiring and resource allocation.