ML Data Engineer Product Analytics A/B Testing
Behavioral Modeling
248-***-**** ************@*****.***
SONIKA
KOGANTI
EXPERIENCE
ML/Data Engineer 06/2023 - 10/2024
CarMax Richmond, United
States
Led behavioral funnel analysis across car listings and purchase flows to identify drop-off points—recommendations contributed to a 9% lift in completed applications.
Collaborated with product teams on A/B test design and evaluation of price sensitivity UI changes; detected a statistically significant 7% increase in engagement.
Delivered insights via cohort and retention analysis, influencing feature prioritization and marketing strategy.
Created ML-driven product affinity models using Spark MLlib to power internal recommendation experiments; piloted on top-converting inventory segments. Partnered with engineering to operationalize experiment tracking and analytics pipelines using Airflow and Snowflake.
Built dashboards in Tableau to track experimentation KPIs, session metrics, and conversion rates by funnel stage.
Data Scientist 09/2021 - 06/2023
Humana Kentucky
Designed and analyzed A/B tests on care navigation and outreach strategies, resulting in a 12% increase in patient engagement across 15 regional programs. Built predictive models using logistic regression and decision trees to forecast treatment adherence and patient churn—improved outreach targeting precision by 20%.
Conducted cohort analysis and retention tracking on eligibility and claims data
(~50M rows weekly) to inform new patient onboarding initiatives. Developed KPI dashboards (Tableau, Matplotlib) for executives to monitor regional performance and outreach ROI; reduced decision-making time by 40%. Partnered with compliance and clinical stakeholders to define validated data contracts and thresholds for patient-level risk metrics. Led UAT and statistical validation for internal analytics tools, improving trust in automated risk scoring across care teams.
Research Assistant 03/2020 - 07/2021
Sacred Heart University Connecticut
Built an end-to-end academic data platform with Python and BigQuery to analyze student performance trends.
Delivered predictive models using TensorFlow, increasing forecasting accuracy by 25%.
Conducted stakeholder sessions to align technical delivery with institutional objectives.
SUMMARY
Data Scientist with 5+ years of
experience transforming large-scale
data into actionable insights across
healthcare, retail, and e-commerce.
Proven expertise in designing A/B
tests, building predictive models,
and delivering behavioral analytics
to drive product optimization and
user engagement. Skilled in Python,
SQL, and statistical experimentation,
with experience deploying models
and dashboards that shape product
and marketing strategy. Comfortable
collaborating cross-functionally with
product, engineering, and UX teams
in Agile environments.
SKILLS
Airflow Amazon S3 Apache Spark
AWS AWS SageMaker Azure
Azure Cloud Azure Devops
Big Data DAX Decision Tree
Deep Learning Dplyr ETL Flask
GCP Ggplot ggplot2 Git GitHub
Google BigQuery Hadoop JIRA
Kafka K-Means Linear Regression
Linux LSTM MatplotLib
Microsoft Office Microsoft Power BI
MLflow Naive Bayes NLP NoSQL
R scikit-learn SSAS SSIS
PUBLICATIONS
Image recognition, which comes
under Artificial Intelligence (AI) is a
critical aspect of computer vision
Exploring consumer behaviors in e-
commerce using machine learning
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E
EXPERIENCE
Data Analyst 01/2017 - 12/2019
Accenture Hyderābād, India
Analyzed regional sales and supply chain data, identifying patterns that saved
$500K/year in inventory costs.
Built Power BI/Tableau dashboards for product performance insights across North America.
Automated reporting processes using SQL and Python, reducing manual reporting time by 40%.
Conducted elasticity and promotion impact analysis, contributing to a 12% lift in campaign ROI.
Built demand forecasting models, reducing stock outs by 15%. Standardized KPIs across 12 global markets to enable consistent performance tracking.
PUBLICATIONS
Integrating Predictive Analytics and
Computational Statistics for
Cardiovascular Health Decision-
Making
Deep Learning and Sustainability in
Agriculture: A Systematic Review
EDUCATION
Masters in Computer
Science
Sacred Heart University
03/2020 - 2021 Connecticut
Bachelors in Information
Technology
MALLA REDDY COLLEGE OF
ENGINEERING
06/2012 - 05/2016 Hyderābād, India
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