Swasti Saxena

Data Scientist

San Jose, California, United States10 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 10+ years of experience in data science and analytics.
  • Expertise in A/B testing and predictive modeling.
  • Strong ability to bridge technical depth with business understanding.
Stackforce AI infers this person is a Data Scientist with expertise in analytics and machine learning for the travel and retail industries.

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Skills

Core Skills

Data ScienceMachine LearningData Visualization

Other Skills

A/B TestingAzure DatabricksBusiness AnalyticsBusiness DevelopmentCausal InferenceClassificationData AnalysisData AnalyticsData MiningData ModelingDatabase Management System (DBMS)DatabricksDeep LearningDemand forecastingExploratory Data Analysis

About

I’m a Data Scientist with 10+ years of experience in data science, analytics, and experimentation, passionate about transforming complex data into actionable strategies that drive business growth. I specialize in working through ambiguity—turning undefined problems into structured solutions that influence product strategy and customer experience at scale. At Expedia Group, I lead initiatives that combine advanced analytics, machine learning, and experimentation to optimize pricing, customer engagement, and conversion across the travel funnel. My expertise spans A/B testing, predictive modeling, and causal inference, enabling data-driven decision-making for high-impact business problems. What sets me apart is my ability to bridge technical depth with business understanding—collaborating with product managers, engineers, and stakeholders to align insights with organizational goals. I’ve built frameworks for ROI analysis, designed new metrics for measuring success, and introduced GenAI solutions that enhance efficiency and empower self-service analytics. I thrive in dynamic environments, where ambiguity is the norm, and curiosity drives innovation. My approach focuses on asking the right questions, applying rigorous analysis, and translating findings into clear, actionable recommendations that create measurable impact. Skillset: 1. Statistical Analysis Techniques: Linear Regression (Ridge, Lasso) | Generalized Linear Models (Logistic Regression, Multinomial Regression, Ordinal Regression) | Time-series Analysis Statistical Methods & Modeling, | Data Visualization |Machine learning Algorithms: Unsupervised classification(Clustering) using K-means and Hierarchical, Supervised Classification using Regression & Decision Trees, Random Forest, K-Nearest Neighbor 2. Statistical Tools: Python, R, SAS 3. Data Management Tools: SQL, Hive SQL 4. Data Visualization Tools: Tableau, R Shiny, ggplot2, Power BI 5. Programming Languages: Python 6. Optimization and Simulation Softwares Excel Solver Tableau Profile: https://public.tableau.com/profile/swasti.saxena#!/ H1-B holder. Cell : (+1) 513-658-9846 Email ID : swastisaxena15@gmail.com

Experience

Expedia group

Data Scientist II

Aug 2022Present · 3 yrs 7 mos · San Jose, California, United States

Hypothesis TestingMetric optimizationRegressionA/B TestingClassificationForecasting+4

Tiger analytics

Senior Data Analyst

Mar 2022Aug 2022 · 5 mos · Seattle, Washington, United States

Themathcompany

Senior Associate - Data Science

Sep 2021Mar 2022 · 6 mos · Chicago, Illinois, United States

  • Collaborated with a major CPG client to forecast demand for next fiscal year using time-series forecasting techniques in order to optimize inventory management using supply chain data.
  • Managing Supply and Operations Execution (S&OE) for a major retailer by creating demand forecasting models using the XGBoost algorithm and providing reporting solutions in Tableau to support financial alignment for merchandising review, demand review, inventory plan, and gap reconciliation.

American modern insurance group

Data Science Student Consultant

May 2021Aug 2021 · 3 mos · Cincinnati Metropolitan Area

  • Implemented Principal Component Regression on unstructured data for creating target variable followed by various supervised Machine Learning algorithms such as Elastic Net, and subset selection for developing the model.
  • Identified states with maximum profit/growth potential using the statistical model.

University of cincinnati carl h. lindner college of business

Graduate Teaching Assistant

Jan 2021Apr 2021 · 3 mos · Cincinnati, Ohio, United States

  • Assisted Professors in the OBAIS (Operations, Business Analytics and Information Systems) department for the course Business Analytics
  • Familiarise students on different topics by conducting recitation sessions in batches of 50 students and encouraged queries during office hours, for course BANA 2082 - Business Analytics II

Worldpay

Service Delivery Analyst II

Jul 2020Dec 2020 · 5 mos · Indore, Madhya Pradesh, India

  • Led IT-support group activities using Tivoli Workload Scheduler for better management of financial transactions leading to time-efficient results and 97% customer satisfaction.
  • Leveraged strong analytical background for disaster recovery activities for seamless data transition in case of system and database crash.

Dxc technology

3 roles

Product Analyst

Aug 2019Apr 2020 · 8 mos

  • Interfaced with internal clients, vendors, managers, IT for production support validation to ensure cost-effective execution of numerous projects.
  • Conducted impact analysis, coding, regression testing for enhancement of insurance products as per guidelines furnished by clients.

Product Analyst

Jul 2018Jul 2019 · 1 yr

  • Collaborated with Business Analysts to express key requirements of various projects, resulting in quality deliverables of critical assignments with 25% turnaround time optimization.
  • Played an active role in managing critical defect prevention activities and volunteered in business development activities to help and identify research opportunities.

Product Developer

Sep 2014Jun 2018 · 3 yrs 9 mos

  • Maintained DXC’s proprietary product Cyberlife and its various subsystems, such as annual statements, correspondence, billing, accounting, and illustrations for managing huge database of insurance customers.
  • Supervised colleagues in incident monitoring, updating tasks and defects onto JIRA Agile application for organized tracking, leading to 20% increase in team productivity.

Doordarshan kendra

Trainee

Jul 2013Aug 2013 · 1 mo · Indore

Education

University of Cincinnati Carl H. Lindner College of Business

Master's degree — Business Analytics

Jan 2021Jan 2022

Medicaps Institution of Science and Technology

Bachelor of Engineering (B.E.) — Electronics and Communications Engineering

Jan 2010Jan 2014

Jai Academy

class XII — Science

Jan 2009Jan 2010

Modern public school

Science

Jan 2007Jan 2008

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