Sep 2025 – Oct 2025 · 1 mo · Las Vegas, Nevada, United States · Remote

• Support machine learning model development through multimodal data annotation (text, image, video), quality assurance, and RLHF processes while ensuring dataset integrity across specialized annotation platforms.
• Execute product image pairing, multimedia evaluation, and conversational AI training tasks while adapting to agile workflows and maintaining strict quality standards per project guidelines.
• Contribute to LLM fine-tuning and model optimization through systematic feedback, error reporting, and cross-platform technical operations in collaborative development environments.

Nov 2023 – Jun 2025 · 1 yr 7 mos · London Area, United Kingdom · On-site

• Optimized Chelsea FC Megastore inventory through predictive analytics and seasonal forecasting, reducing excess stock by 25% and stockouts by 18% during high-traffic match days.
• Drove 20% sales growth by implementing data-driven merchandising strategies and creating interactive dashboards to analyze match-day revenue patterns by product category.

Apr 2022 – Jun 2022 · 2 mos · Remote

• Data scientist at DemandBrain - Kohl’s
• Architected an end-to-end forecasting solution integrating ML models with Azure Databricks (PySpark), enhancing inventory prediction accuracy by 5% and optimizing workflow execution by 10% through automated pipelines
• Led cross-functional collaboration with DemandBrain product team, implementing robust A/B testing frameworks and quality assurance protocols that reduced inventory costs by 3%

Jun 2021 – Apr 2022 · 10 mos · Remote

• ETL Tester at Prudential Financial
• Designed and implemented IFRS17-compliant data architecture spanning 10+ entities, reducing transformation errors by 25% through robust data modeling and automated validation frameworks
• Developed and executed 50+ comprehensive test cases in SAS Studio/Azure environment, achieving 98% data accuracy and identifying 10 critical defects in financial risk models

Apr 2021 – May 2021 · 1 mo · Greater Bengaluru Area · Remote

• Engineered advanced ARIMA time series models in Python, integrating multi-source data to improve forecast accuracy by 35% and generate $2.3M additional revenue through optimized sales strategies
• Spearheaded data-driven marketing transformation through predictive analytics, achieving 28% ROI improvement and reducing customer acquisition costs by 22%

May 2018 – Mar 2020 · 1 yr 10 mos · Chennai, Tamil Nadu, India · On-site

• Led NLU model optimization for Alexa through high-quality dataset creation and sentiment analysis, reducing response errors by 3% and improving comprehension across diverse linguistic patterns
• Accelerated feature development for Alexa's conversational AI by collaborating with ML engineers, while mentoring 15+ new hires to achieve 97% data accuracy, earning multiple performance awards