Summary
Overview
Work History
Education
Skills
Certification
Websites
Projects
Timeline
Generic

GOPI ALEKHYA BAYANA

Overland Park,KS

Summary

AI Engineer / Data Scientist with 4+ years of experience building and deploying production ML and automation systems across retail and e-commerce. Proven track record integrating AI services with APIs, data pipelines, and cloud platforms (AWS, Snowflake, Azure) to deliver measurable business impact (19% revenue lift, 22% stock-out reduction, $2.3M annual savings). Strong in Python/SQL, ML systems, orchestration, and translating Sales/Marketing workflows into scalable AI solutions with monitoring and business impact metrics.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Data Scientist

Lowe’s Companies, Inc.
05.2023 - Current
  • Architected and deployed collaborative-filtering recommendation services (Python, Scikit-learn, TensorFlow) integrated via APIs into merchandising workflows, driving 19% cross-sell revenue lift across 1,700+ locations.
  • Built production ML pipelines (Airflow, Glue, PySpark) with monitoring, alerting, and rollback strategies; tracked business impact metrics (conversion, stock-outs, revenue lift) post-deployment.
  • Engineered demand-forecasting systems (Prophet, XGBoost, LSTM) surfaced through BI and API endpoints, achieving 22% reduction in out-of-stocks for $70B+ inventory operations.
  • Developed customer segmentation at scale (K-Means, DBSCAN, RFM) on 50M+ records in Snowflake/Redshift; enabled targeted campaigns that reduced churn by 15%.
  • Implemented real-time ML scoring services on AWS (SageMaker/EMR) serving 40M+ monthly interactions with 99.9% uptime, including drift detection and performance dashboards.
  • Partnered with Product, Marketing, RevOps, and Engineering to translate workflow inefficiencies into AI-driven automation and decision support; reduced manual analysis time and improved turnaround.
  • Led data platform architecture across Snowflake, Redshift, and Azure SQL to support scalable analytics and downstream AI integrations.
  • Ran experimentation frameworks for pricing and promotions (A/B testing, guardrails), improving conversion by 12%; communicated results to executive stakeholders.

Data Scientist

Reliance Retail Ltd.
01.2021 - 07.2022
  • Built customer loyalty and churn systems (RFM, clustering, gradient boosting) improving targeted marketing efficiency by 26% and reducing attrition by 18%.
  • Designed predictive store profitability and pricing sensitivity models (XGBoost, RF, econometrics) integrated with Power BI, reducing markdown costs by 17%.
  • Implemented time-series demand forecasting (Prophet/ARIMA) to optimize inventory allocation across distribution centers.
  • Delivered automated data pipelines (Airflow, Glue) processing 5TB+ daily with 99.8% reliability; exposed outputs via APIs for downstream consumption.
  • Built real-time campaign performance tracking with Kafka and streaming analytics to enable rapid ROI measurement and optimization.
  • Presented insights to leadership; drove initiatives totaling $5M+ revenue impact.

Education

M.S. - Data Science

Wichita State University
KS

B.Tech - Electrical & Electronics Engineering

Centurion University of Technology and Management
India

Skills

Programming Languages: Python, R, SQL, T-SQL, PowerShell, UNIX Shell Scripting, Java, Scala
Machine Learning & AI: Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, Prophet, PySpark, MLflow, Hugging Face
Agentic AI & Automation: Agent orchestration (LangChain/LangGraph or equivalent), RAG pipelines, tool/function calling, API integrations, workflow automation, prompt/context engineering, MCP (Model Context Protocol) concepts, vector databases (FAISS/Pinecone or equivalent)
Cloud Platforms & Services: AWS (S3, Glue, Redshift, EC2, EMR, SageMaker, Lambda), Azure, GCP, Snowflake
Big Data: Hadoop, Apache Spark, Kafka, Beam, Databricks, Dask, Hive, Flink
Databases: MySQL, PostgreSQL, Oracle, MS SQL Server, HBase, Teradata, MongoDB, Cassandra, BigQuery, Azure SQL
BI & Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly, Looker
ETL & Orchestration: Apache Airflow, AWS Glue, NiFi, Talend, Informatica, SSIS, Data Factory
DevOps & MLOps: Git, GitHub, Bitbucket, Jenkins, Docker, Kubernetes, CI/CD, model deployment & monitoring
Statistics & Experimentation: A/B testing, hypothesis testing, time series, Bayesian methods, ANOVA
Ways of Working: Agile/Scrum, cross-functional stakeholder engagement

Certification

AWS Certified Machine Learning – Specialty

Websites

Projects

Multi-Agent AI Workflow (MCP/RAG, APIs), Built an MCP-based multi-agent system that enriches leads using external APIs and internal knowledge bases (RAG), orchestrates multi-step actions (tool calling), and logs outputs to downstream systems. Implemented monitoring and defined success metrics (time saved, conversion lift) to report business impact.

Timeline

Data Scientist

Lowe’s Companies, Inc.
05.2023 - Current

Data Scientist

Reliance Retail Ltd.
01.2021 - 07.2022

M.S. - Data Science

Wichita State University

B.Tech - Electrical & Electronics Engineering

Centurion University of Technology and Management
GOPI ALEKHYA BAYANA