Rishabh A.

About Rishabh A.

I am a highly driven data science professional having 11+ years of experience in analytics industry and delivered breakthrough through projects that drive data driven strategy decisions and business growth. I have worked on developing highly scalable cloud-connected software applications in various industry domains such as Fintech, e-commerce, Consumer products etc. I managed to deliver optimal results with a proven track record of signature projects. My areas of expertise include: Programming Languages: Python (Skicit-learn, NumPy, Pandas, Matplotlib), R, Java, Git Version Control, AWS Cloud Database: MySQL, Microsoft SQL Server, Oracle Database, MongoDB, PostgreSQL, AWS, Google Big Query, Azure Web Technologies: Java/J2EE, HTML, CSS, JavaScript BI and Visualization Tools: Tableau, Power BI, Looker, RStudio, Jupyter Notebook, MS office (Excel, Word, Power Point) AI and Machine Learning: LLM finetuning, RAG, GPT-4o API integration, Naive Bayes Classification, Performance Measures, Linear Regression and Regularization, Decision Trees, Random Forests, K-Nearest Neighbour, Logistic Regression, Principal Component Analysis, K-Means Clustering, Statistical Analysis, Hypothesis Testing I am eager to work in a challenging role in the analytics/data science domain where I can apply what I learnt in a practical and impactful manner. Looking forward to making great connections and relationships with like-minded data enthusiasts!

Experience

1. Principal Data Analyst (Senior Manager, Analytics)

   Walmart

   Jan 2024 — Present · Dallas, TX, US

   Spearheaded a GenAI-powered contract intelligence assistant using OpenAI GPT-4o APIs, Python, BigQuery to automate extraction of product purchase details from contract PDFs stored in GCP. Implemented intelligent classification logic to assign category/subcategory tags, creating a structured, queryable dataset enabling a scalable, AI-driven framework for contract analytics and strategic sourcing decisions across Walmart Global Tech.• Led the development of a Global Tech Contracts Analytics Suite tracking 20+ key performance metrics across $XB+ in annual third-party vendor spend. Provided real-time visibility to executive leadership on purchasing trends, purchase orders forecasts,contract approval cycles, and vendor utilization across all Walmart technology teams. Applied time-series forecasting models (ARIMA, XGBoost) to predict contract renewals, identify spend anomalies, and flag cost-saving opportunities.• Supervised a team of analysts to build an end-to-end data pipeline using BigQuery, Python, and Power BI, improving financial transparency, reducing contract renewal delays by 40%, and driving $XXM+ in cost savings in FY25.• Designed and optimized enterprise-grade Power BI dashboards for contract intelligence and vendor analytics, leveraging DAX, Power Query to deliver highly interactive, dynamic insights to executive stakeholders. Implemented Row-Level Security (RLS) and Object-Level Security (OLS) for sensitive vendor and contract data, ensuring governance and compliance across global business units.• Developed ML driven Software Asset Management dashboard using Power BI to provide real-time visibility into license purchase and utilization metrics across multiple vendors. Designed and automated an end-to-end data pipeline integrating Flexera, Zylo APIs, and MS SQL into a unified GCP datalake, enabling cross-platform analytics and governance. Eliminated 20+ hours of manual work per week, improved license utilization tracking by 60%.

Education

• University of California, Davis - Graduate School of Management

  Master of Science - MS, Business Analytics

• Netaji Subhas Institute of Technology

  Bachelor of Engineering (BE), Instrumentation and Control Engineering