Esha Singh

AI Researcher

Delhi, India6 yrs experience

Key Highlights

Led successful marketing mix projects with measurable ROI.
Developed an intelligent ticket bot improving client satisfaction.
Trained team members in advanced data science techniques.

Stackforce AI infers this person is a Data Science and Software Development professional with a focus on Healthcare and SaaS.

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Skills

Core Skills

Data AnalysisMachine LearningSoftware Development

Other Skills

SQLPythonAWS S3JavaAWS KendraAWS LambdaObject-Oriented Programming (OOP)REST APIsAmazon Web Services (AWS)C++Data StructuresEngineeringContent writingAnalytical SkillsFront-end Development

Experience

Transunion

Sr. Data Scientist

Jun 2025 – Present · 9 mos

Zs

Decision Analytics Associate

Sep 2023 – Jun 2025 · 1 yr 9 mos

Marketing Mix-
Led an end-to-end Marketing Mix project focused on promotion response modeling for plasma donations. Responsibilities include exploratory data analysis, customer segmentation, and machine learning modeling to assess tactic effectiveness and ROI.
Created response curves and optimized budget scenarios across brands and channels to maximize
mROI.
Collaborated cross-functionally to align on modeling granularity, data hypotheses, and media benchmarks.
Developed a tactical-level budget and marketing strategy for a rare disease product facing competitive challenges, leading to a positive impact on the clientʼs portfolio and improved marketing approach.
Single-handedly conducted comprehensive analysis using SQL, Python, and machine learning algorithms.
Led the segmentation process and decision-making for a new drug launch, selecting and applying the most effective machine learning algorithms to achieve a result with ~92% accuracy.
Utilized Python, Spark, machine learning, and AWS S3 to deliver actionable insights, significantly contributing to the projectʼs success.
Trained an intern and a new associate in Python, machine learning techniques, AWS S3, and Cloudberry, enhancing team capabilities and knowledge.

SQLPythonMachine LearningAWS S3Data Analysis

Amazon

Software Development Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · On-site

Independently designed and implemented an intelligent ticket bot which auto-triggers upon ticket creation.
It analyzes and appends valuable comments using machine learning
Enhanced client satisfaction and reduced turnaround time significantly with a definite response on 95% of tickets that were raised
Successfully executed three real-world projects
Leveraged Java, AWS Kendra, SNS, AWS Lambda, Amazon CloudWatch, and other AWS tools along with Maven, Gradle, and JUNIT ensuring 100% line and branch coverage
Utilized FTL for schema transformation

JavaAWS KendraAWS LambdaSoftware Development