Nitin Kulkarni

14 years of professional experience, including 10 years in GIS with a focus on mapping and navigation, and 4 years in machine learning data annotation. Proven track record of leading operational teams and managing complex projects to enhance efficiency, drive business growth, and improve customer satisfaction. Six Sigma Green Belt certified, with expertise in process management and execution of mapping-related work streams. Recognized for strong leadership, effective communication, and the ability to mediate interpersonal issues while achieving team objectives.

Led the efficiency improvement project for the site in 2025, analyzing the root causes of low performance and collaborating with the team manager and onsite team to remove blockers. Through data-driven insights and timely reporting, increased production team efficiency by 35% in regular tasks, directly supporting the delivery volume target.

Drove the delivery volume improvement project in 2025 by implementing daily productivity tracking, login adherence monitoring, and task-level video target visibility for the site, identified and addressed key wastages, including poor login adherence and lack of target transparency, collaborating with delivery POCs and team managers to provide actionable insights, achieved 108% improvement in video delivery throughput, increasing output from 28 to 60 videos per DA per day in a two-month span, directly supporting the customer’s 2025 delivery volume goals.

Created and implemented a new structure for Data Quality Associates to accurately measure performance across diverse workflows, resolving calculation challenges related to working days exceptions and task complexity variations, ensured fair performance evaluation by standardizing metrics across different task types, providing DQAs with transparent monthly performance visibility, and enabling equitable assessment under consistent parameters.

I was part of a Six Sigma quality improvement project as a team member to drive the improve stage, focusing on reducing specific category errors over four weeks, coordinated multiple improvement activities, including weekly error audits with team managers, centralized query repository maintenance, error trend monitoring, mentor training sessions for policy alignment, and daily education flyer distribution to all the associates Successfully completed all project deliverables through systematic monitoring and collaboration with mentors and stakeholders.

Identified critical video loading time issues through detailed analysis, discovering that 26% of videos contributed to 64% of the total loading time, drove implementation of the downscale feature and demo lite player in June, projected to save 480 man-days monthly by reducing loading time from 1.5 minutes to under 0.50 minutes per video, significantly improving annotation throughput.

Led outlier video reduction project to reduce annotation time below 30 minutes for videos. Implemented a comprehensive monitoring framework, including daily operator time tracking, preventive video downgrades, DA skill development on auto-markup utilization, and bounding box techniques, as well as weekly root cause analysis and performance management interventions. Achieved an 84% reduction in outlier videos from 1.72% (Week 45) to 0.27% (Week 2), significantly improving annotation efficiency and program-level throughput despite temporary setbacks during Weeks 50-52 due to the implementation of a new annotation tool

• Cricket
• Movies
• Music
• Web Series
• Traveling

• Hindi
• Marathi
• English, Full Professional Proficiency
• Hindi, Full Professional Proficiency
• Marathi, Full Professional Proficiency