I am an AI professional with over 4 years of experience building scalable machine learning and AI solutions, cloud-native data pipelines, and NLP-driven insight platforms across retail and marketing domains. I have a proven track record of delivering high-impact projects ranging from deep learning-based personalization and predictive modeling to designing end-to-end ELT pipelines. I excel at productionizing models and building vector search systems for semantic analytics. Known for driving measurable business outcomes worth over $800 million, I bring a hands-on, full-stack approach spanning data science, MLOps, and cloud data engineering. I enjoy working collaboratively with teams to create innovative, data-driven solutions that deliver tangible value to businesses.

Devansh Rastogi

I am an AI professional with over 4 years of experience building scalable machine learning and AI solutions, cloud-native data pipelines, and NLP-driven insight platforms across retail and marketing domains. I have a proven track record of delivering high-impact projects ranging from deep learning-based personalization and predictive modeling to designing end-to-end ELT pipelines. I excel at productionizing models and building vector search systems for semantic analytics. Known for driving measurable business outcomes worth over $800 million, I bring a hands-on, full-stack approach spanning data science, MLOps, and cloud data engineering. I enjoy working collaboratively with teams to create innovative, data-driven solutions that deliver tangible value to businesses.

Available to hire

I am an AI professional with over 4 years of experience building scalable machine learning and AI solutions, cloud-native data pipelines, and NLP-driven insight platforms across retail and marketing domains. I have a proven track record of delivering high-impact projects ranging from deep learning-based personalization and predictive modeling to designing end-to-end ELT pipelines. I excel at productionizing models and building vector search systems for semantic analytics.

Known for driving measurable business outcomes worth over $800 million, I bring a hands-on, full-stack approach spanning data science, MLOps, and cloud data engineering. I enjoy working collaboratively with teams to create innovative, data-driven solutions that deliver tangible value to businesses.

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Experience Level

Expert
Expert
Expert
Expert
Expert
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Intermediate
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Work Experience

Sr. Applied Data Scientist | eCommerce & Digital Marketing at Mu Sigma Inc.
August 1, 2023 - August 5, 2025
Led development of end-to-end ML/AI solutions for Australia's 2nd largest retailer, contributing to $800M+ revenue impact in ecommerce personalization and cloud data modernization. Migrated 3+ disparate data sources to Snowflake, reducing ETL runtimes by 95%. Designed scalable ELT pipelines using Azure Data Factory, Azure Blob Storage, and dbt. Developed hybrid product recommendation engines combining collaborative filtering, content-based methods, and learning-to-rank algorithms, increasing average order value by 12%. Built predictive LSTM and XGBoost models for next shop date and product category forecasting with automated retraining pipelines. Architected a marketing intelligence and semantic analytics platform using vector embeddings and Pinecone, cutting executive report prep times from 8 hours to 30 minutes and uncovering $2.3M in marketing spend optimizations.
Applied Data Scientist | Marketing Analytics at Mu Sigma Inc.
August 1, 2023 - August 5, 2025
Led end-to-end marketing campaign analytics, optimizing audience targeting and measuring performance across customer engagement, transactions, and digital behaviour. Redesigned customer segmentation using neural networks and Self-Organizing Maps (SOM), achieving 45% improvement in marketing ROI. Developed and deployed deep learning classifiers with automated A/B testing, forecasting $5.5M incremental annual revenue. Constructed A/B testing frameworks and uplift measurement methodologies that contributed to a $4M AUD revenue impact during the 2020 Christmas season and improved email marketing ROI by 14%. Established Universal Control Group (UCG) frameworks providing standardized omnichannel attribution, identifying $12M AUD previously untracked marketing-driven revenue.

Education

MSc in Artificial Intelligence with NLP Specialization at Queen Mary University of London
September 1, 2023 - September 1, 2024
Bachelor in Computer Science & Engineering at Vellore Institute of Technology
July 1, 2015 - May 1, 2019

Qualifications

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Industry Experience

Retail, Software & Internet, Financial Services