Summary
Overview
Work History
Education
Skills
PROJECTS
Timeline
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GOPI ALEKHYA BAYANA

Summary

Data Scientist specializing in advanced analytics and machine learning solutions that drive business impact. Engineered models that optimized inventory management, resulting in over $2.3M annual cost savings, while developing interactive dashboards for executive-level insights. Strong background in cloud platforms and big data technologies.

Overview

5
5
years of professional experience

Work History

Data Scientist

Lowe's Companies, Inc.
05.2023 - Current
  • Architected and deployed collaborative filtering recommendation engine using Python, Scikit-learn, and TensorFlow, resulting in 19% increase in cross-selling revenue and enhanced customer experience across 1,700+ retail locations
  • Engineered advanced demand forecasting models utilizing Prophet, XGBoost, and LSTM neural networks integrated with Tableau dashboards, achieving a 22% reduction in out-of-stock scenarios and optimizing $70B+ annual inventory management
  • Developed unsupervised customer segmentation models using K-Means, DBSCAN, and RFM scoring algorithms on 50M+ customer records stored in Snowflake and Redshift, reducing customer churn by 15% through precision-targeted campaigns
  • Built enterprise-scale ETL pipelines using Apache Airflow, AWS Glue, and PySpark, processing 10TB+ daily structured/unstructured data from Hadoop clusters while enabling real-time ML model scoring with 99.9% uptime
  • Implemented production-ready machine learning solutions on AWS infrastructure (S3, EC2, EMR, SageMaker) serving 40M+ customer interactions monthly with automated model monitoring and drift detection capabilities
  • Developed executive dashboards in Tableau and Power BI with statistical visualizations, translating complex ML insights into actionable strategies for C-suite decision-making.
  • Conducted A/B testing frameworks for pricing strategies and promotional campaigns using statistical hypothesis testing, resulting in 12% improvement in conversion rates and data-driven marketing optimization
  • Optimized supply chain operations through predictive analytics models for vendor performance, logistics optimization, and seasonal demand planning, reducing operational costs by $2.3M annually
  • Mentored junior data scientists and collaborated with cross-functional teams (Engineering, Product, Marketing) using Agile methodologies, Git version control, and CI/CD pipelines via Jenkins and Bitbucket
  • Spearheaded analytics initiatives for customer lifetime value prediction, market basket analysis, and competitive intelligence using ensemble methods and deep learning, influencing strategic business decisions.

Data Scientist

Reliance Retail Ltd.
01.2021 - 07.2022
  • Developed comprehensive customer loyalty scoring system using RFM analysis, clustering algorithms, and Python machine learning libraries, improving targeted marketing efficiency by 26% and increasing customer lifetime value
  • Built predictive store profitability models using XGBoost, Random Forest, and feature engineering techniques integrated with Power BI dashboards, enabling data-driven decisions for 3,000+ regional store managers
  • Conducted advanced pricing sensitivity analysis using econometric modeling, R statistical programming, and SQL queries across Teradata data warehouses, reducing markdown costs by 17% while maintaining customer satisfaction
  • Designed automated data pipeline architecture using AWS Glue, Apache Airflow, and Python ETL scripts, ensuring reliable processing of 5TB+ daily transactional data from Oracle and SQL Server databases with 99.8% uptime
  • Developed customer churn prediction models using logistic regression, gradient boosting, and neural networks with feature selection techniques, achieving 89% accuracy and reducing customer attrition by 18%
  • Built real-time campaign performance tracking system using Apache Kafka, streaming analytics, and automated reporting, enabling immediate ROI assessment and campaign optimization strategies
  • Collaborated with business stakeholders to translate analytical insights into actionable recommendations, presenting findings to executive leadership and influencing strategic initiatives generating $5M+ in revenue

Education

Master of Science - Data Science

Wichita State University
Wichita, Kansas, USA

Bachelor of Technology - Electrical & Electronics

Centurion University of Technology and Management
India

Skills

Programming Languages: Python, R, SQL, T-SQL, PowerShell, UNIX Shell Scripting, Java, Scala

Machine Learning & AI Frameworks: Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, Prophet, SAS, PySpark, MLflow, Hugging Face

Cloud Platforms & Services: AWS (S3, Glue, Redshift, EC2, EMR, SageMaker, Lambda), Azure, Google Cloud Platform (GCP), Snowflake

Big Data Technologies: Hadoop, Apache Spark, Apache Kafka, Apache Beam, Databricks, Dask, Apache Hive, Apache Flink

Database Management Systems: MySQL, PostgreSQL, Oracle, MS SQL Server, HBase, Teradata, MongoDB, Cassandra, Google BigQuery, Azure SQL

Data Visualization & BI Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, D3js, Looker, QlikView

ETL & Data Pipeline Tools: Apache Airflow, AWS Glue, Apache NiFi, Talend, Informatica, SSIS, Data Factory

Version Control & DevOps: Git, GitHub, Bitbucket, Jenkins, Docker, Kubernetes, CI/CD Pipelines, GitLab

Statistical Analysis & Testing: A/B Testing, Hypothesis Testing, Statistical Modeling, Time Series Analysis, Bayesian Statistics, ANOVA

Operating Systems & Development: Linux, Windows, macOS, Jupyter Notebooks, Docker, Virtual Environments, Agile/Scrum Methodologies, Model deployment, Cross-functional stakeholder engagement

PROJECTS

Autonomous Data Analyst Agent | LangChain, OpenAI, SQLite, Streamlit

• Developed an AI-powered autonomous data analyst agent using LangChain and OpenAI GPT models that enables users to query structured data using natural language without SQL expertise.

• Designed and implemented an intelligent text-to-SQL pipeline that automatically generates, executes, and validates SQL queries against SQLite databases, delivering accurate business insights in real time.

• Built conversational memory capabilities to support multi-turn interactions and contextual follow-up questions, improving user experience and analytical workflow efficiency.

• Developed an interactive Streamlit web application with dynamic data visualization and formatted analytical responses for business users.

• Leveraged Python, Pandas, SQLAlchemy, and OpenAI APIs to automate data analysis workflows, reducing manual querying effort and enabling self-service analytics.

Timeline

Data Scientist

Lowe's Companies, Inc.
05.2023 - Current

Data Scientist

Reliance Retail Ltd.
01.2021 - 07.2022

Master of Science - Data Science

Wichita State University

Bachelor of Technology - Electrical & Electronics

Centurion University of Technology and Management
GOPI ALEKHYA BAYANA