Saswat Sahoo

About Saswat Sahoo

Experienced Data Analyst and AI/ML Data Engineer with MS in Business Analytics from UT Dallas. Prepared to bring 6+ years of expertise in statistics, machine learning, scalable data architectures, and cloud-based AI solutions to challenges that demand decision making with quantifiable data-driven evidence. Proven ability to identify opportunities that transform company practices through cost-effective, intelligent automation solutions that deliver actionable insights for more efficient and productive operations across enterprise-scale implementations.Skills:Data Analyst | AI/ML Engineering | Machine Learning | Advanced Statistics | Data Visualization (Power BI, Tableau)| Cloud Platforms (Snowflake, Azure, AWS)| ETL/ELT Pipelines | Python, SQL, R | Natural Language Processing | Conversational Analytics | Customer SegmentationMachine Learning (Using Python):Pandas, NumPy, scikit-learn, Matplotlib, TensorFlow, Seaborn, XGBoost, TensorFlow, KerasSpecialized in: AI-driven decision making, customer segmentation, predictive analytics, automated data pipelines, cross-functional collaboration, and transforming complex data into strategic business insights.Open to full-time opportunities in: Data Analyst, Data Engineer, or AI/ML Engineer roles.Contact:Email: s••••••••@gmail.comGitHub: https://github.com/saswat3348LinkedIn:

Experience

1. Data Analyst Data Engineer

   Callaway Golf

   Nov 2022 — Present · Carlsbad, CA, US

   Architected and deployed scalable data infrastructure using Snowflake, Azure, and Databricks that supports AI applications across 5+ brands (CGI, TM, TGS, CGPO, OGIO), enabling unified analytics and reducing data silos by 60% • Built automated ELT/ETL pipelines with Python, SQL that process 15+ data sources daily, reducing manual data processing time by 75% and enabling real-time AI-driven decision-making • Implemented GenAI-powered IT operations solutions that automated monitoring and failure recovery across SnapLogic, Snowflake, ADLS, and Power BI, reducing manual interventions by 80% through predictive analytics • Deployed conversational analytics solution using Snowflake Cortex that processes call center transcripts and applies NLP techniques, automating manual call categorization and extracting actionable customer insights • Developed personalized recommendation system that combines ML algorithms with contextual AI to deliver seamless customer experiences, improving customer engagement metrics through advanced data aggregation • Analyzed customer behavior patterns across 5+ brands using SQL and Python, identifying key insights that reduced customer churn by 25% and improved segmentation strategies for targeted marketing campaigns • Created comprehensive KPI measurement frameworks tracking conversion rates,$/visit, revisit rates, and signup rates, owning end-to-end experimentation process and identifying 20+ optimization opportunities • Designed interactive data visualizations and executive dashboards using Power BI and Tableau, translating complex data findings into clear business recommendations that influenced marketing strategy • Partnered with business stakeholders across Marketing, Sales, and Operations to translate business requirements into analytical solutions, delivering strategic insights that increased revenue by 18% and improved operational efficiency by 40%

Education

• Naveen Jindal School of Management, UT Dallas

  Master's degree, Business Analytics

  2019 — 2020