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Hi! I’m Nikhil Narayanarao Kudupudi, a data scientist and ML engineer with 3+ years of experience delivering machine learning and analytics solutions across retail and e-commerce. I’m proficient in Python, SQL, and cloud platforms, and I enjoy turning data into actionable business outcomes through predictive models, recommendation systems, and robust data pipelines. In cross-functional teams, I translate analytics into business impact by deploying scalable ML solutions on AWS, GCP, and BigQuery, and by building dashboards that empower stakeholders. I thrive on experimentation, learning, and communicating complex results in clear, business-friendly terms.…Hi! I’m Nikhil Narayanarao Kudupudi, a data scientist and ML engineer with 3+ years of experience delivering machine learning and analytics solutions across retail and e-commerce. I’m proficient in Python, SQL, and cloud platforms, and I enjoy turning data into actionable business outcomes through predictive models, recommendation systems, and robust data pipelines. In cross-functional teams, I translate analytics into business impact by deploying scalable ML solutions on AWS, GCP, and BigQuery, and by building dashboards that empower stakeholders. I thrive on experimentation, learning, and communicating complex results in clear, business-friendly terms.

Nikhil Narayanarao Kudupudi

Data Scientist, AI Engineer, Full Stack Developer, +2

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Hi! I’m Nikhil Narayanarao Kudupudi, a data scientist and ML engineer with 3+ years of experience delivering machine learning and analytics solutions across retail and e-commerce. I’m proficient in Python, SQL, and cloud platforms, and I enjoy turning data into actionable business outcomes through predictive models, recommendation systems, and robust data pipelines. In cross-functional teams, I translate analytics into business impact by deploying scalable ML solutions on AWS, GCP, and BigQuery, and by building dashboards that empower stakeholders. I thrive on experimentation, learning, and communicating complex results in clear, business-friendly terms.…Hi! I’m Nikhil Narayanarao Kudupudi, a data scientist and ML engineer with 3+ years of experience delivering machine learning and analytics solutions across retail and e-commerce. I’m proficient in Python, SQL, and cloud platforms, and I enjoy turning data into actionable business outcomes through predictive models, recommendation systems, and robust data pipelines. In cross-functional teams, I translate analytics into business impact by deploying scalable ML solutions on AWS, GCP, and BigQuery, and by building dashboards that empower stakeholders. I thrive on experimentation, learning, and communicating complex results in clear, business-friendly terms.

Available to hire

Hi! I’m Nikhil Narayanarao Kudupudi, a data scientist and ML engineer with 3+ years of experience delivering machine learning and analytics solutions across retail and e-commerce. I’m proficient in Python, SQL, and cloud platforms, and I enjoy turning data into actionable business outcomes through predictive models, recommendation systems, and robust data pipelines.

In cross-functional teams, I translate analytics into business impact by deploying scalable ML solutions on AWS, GCP, and BigQuery, and by building dashboards that empower stakeholders. I thrive on experimentation, learning, and communicating complex results in clear, business-friendly terms.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/Data Scientist at Qatch

September 1, 2024 - Present

Built and deployed a semantic search and recommendation engine for 1.5M+ products using Fashion-CLIP, T5, and Gemini; automated product inventory ETL with Python and SQL (BigQuery), reducing manual workload by 95% and storage costs by 30%; deployed XGBoost classifiers for internal product labeling, boosting labeling accuracy by 35%; implemented fuzzy matching for retailer/brand mapping and product deduplication, reducing duplicate listings by 25%; oversaw deployment and scheduling of scalable FastAPI web services on GCP VMs with 99%+ uptime; launched trend analytics dashboard with Vertex AI Gemini to visualize fashion keywords and increase actionable insights for stylists and marketers.

Data Science & Analytics Intern at Skechers USA

June 1, 2023 - August 1, 2023

Created a Markov-chain attribution model to optimize marketing touchpoints and lift e-commerce revenue by 5% through smarter ad budget allocation. Automated ROAS and channel-performance dashboards using Python, SQL, and Incorta for real-time campaign visibility. Fine-tuned sales forecasting models with seasonal/promotional features, reducing RMSE by 20% and improving inventory planning. Collaborated with marketing/BI to embed model insights into planning tools for faster region-wide budget adjustments.

Data Scientist at Reliance Retail

October 1, 2020 - August 1, 2022

Built forecasting/pricing models that improved on-shelf availability by 26% and cut excess inventory by 18% across 1,000+ stores. Automated ETL workflows via Airflow and Redshift, reducing data refresh time from 6 hours to under 1 hour and improving leadership reporting reliability. Created customer segmentation and churn models (K-Means, XGBoost) to target campaigns and lift ROI by 22%. Developed Tableau dashboards for product trends, sales velocity, and regional performance; embedded ML outputs into planning tools to improve forecast accuracy by 20% and optimize replenishment. Ran A/B experiments to evaluate pricing/promotions, uncovering insights that improved retention by 8%. Implemented data validation/governance under GDPR and internal audits for multi-terabyte data.