Shruti D.

Consultant

New York City, New York, United States3 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed interactive analytics platform generating $1.5M investment.
Engineered GenAI chatbot reducing support workload by 25%.
Achieved 30% increase in conversion rates through uplift modeling.

Stackforce AI infers this person is a Data Science and Analytics professional in the Advertising and SaaS industries.

Contact

shrutidash660@gmail.com LinkedIn

Skills

Core Skills

Data ScienceMachine LearningData EngineeringArtificial IntelligenceData AnalysisProject Management

Other Skills

A/B TestingAWS (S3, SageMaker, Lambda, Redshift)AWS LambdaAWS RedshiftAWS SageMakerAWS Step FunctionsAdvertisingAgileAgile Project ManagementAirflowAmazon QuickSightAmazon RedshiftAnalytical SkillsApache SparkArduino

About

I’m currently at Amazon Ads in a role that’s part data scientist, part consultant, and fully focused on helping brands figure out what’s working in their marketing (and what’s just noise). I spend my time turning messy data into insights people actually use - whether that’s building tools, running analyses, or working directly with clients to crack tough problems. Before this, I was at Flywheel, always deep in the world of measurement, media, and strategy. Outside of work, I’m usually chasing flight deals or building overly ambitious travel itineraries - 12 countries and counting! Working on something interesting? Always happy to connect: shrutidash660@gmail.com.

Experience

Amazon

2 roles

Consultant, Analytics & Insights

Promoted

May 2025 – Present · 10 mos · New York, New York, United States

Associate, Analytics & Insights

Jul 2022 – Jul 2023 · 1 yr · New York, United States

Performed regression modeling, clustering, and causal inference in Python and SQL to uncover key performance levers, increasing ad ROI by 25%.
Built a segmentation model using Gaussian Mixture Models for campaign personalization, contributing to a $1M increase in targeted ad revenue.
Created automated pipelines in Python and SQL for data extraction and analysis, improving reporting efficiency by 50%.
Designed dashboards in Tableau and Jupyter to visualize campaign impact, guiding executive strategy on $15M in ad spend.
Conducted EDA and time-series analysis to understand user behavior trends and optimize marketing resource allocation.
Managed project timelines using Agile practices and Jira, increasing project delivery rate by 10%.

PythonSQLTableauJupyterAgileJira+2

Flywheel

Data Scientist

Jul 2023 – May 2025 · 1 yr 10 mos · New York City Metropolitan Area

Built and deployed an interactive analytics platform using Snowflake and Streamlit, enabling real-time data exploration and decision support, leading to $1.5M in incremental investment.
Developed uplift models using XGBoost and Random Forest to improve ad targeting precision, achieving a 30% increase in conversion rates.
Automated ETL workflows with AWS Step Functions and Lambda, enhancing data reliability and reducing processing time by 40%.
Engineered a GenAI-powered chatbot using NLP and prompt tuning, improving customer query resolution time and reducing support workload by 25%.
Optimized Snowflake query performance and designed scalable SQL-based transformation logic for marketing analytics.
Collaborated with business and engineering teams to integrate ML outputs into business intelligence dashboards and improve data-driven decision-making.
Built and maintained Tableau dashboards for KPI tracking, campaign ROI analysis, and user engagement trends.
Conducted extensive statistical tests and cross-validation for A/B testing and performance monitoring of deployed models.