Anshika P.

Product Manager

Plainsboro, New Jersey, United States3 yrs experience

Highly StableAI Enabled

Key Highlights

Expert in deploying scalable ML pipelines on AWS.
Proficient in causal inference and predictive modeling.
Strong background in data engineering and analytics.

Stackforce AI infers this person is a Data Scientist specializing in Healthcare analytics and machine learning solutions.

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Skills

Core Skills

Causal InferenceMarketing Mix ModelingData ClassificationDeep LearningPredictive ModelingAwsData EngineeringPredictive AnalyticsMachine Learning

Other Skills

A/B TestingAWS MarketplaceAWS SageMakerAcoustic dataAmazon Web Services (AWS)Analytical SkillsApache SparkApplied ProbabilityAttribution ModelingAutosysBig DataBusiness StatisticsC (Programming Language)Cloud ComputingCommunication

About

I’m a data scientist/data engineer/statistician driven by the challenge of turning complex data into actionable insights and build scalable data systems. My passion lies at the intersection of causal inference, machine learning, and generative AI, where I apply advanced methods to solve real-world problems at scale. Currently pursuing my M.S. in Statistics (Analytics Track) at the University of Illinois Urbana–Champaign, I combine academic rigor with industry experience. At ZS Associates, I engineered and deployed large-scale ML pipelines on AWS/Spark, built GenAI-driven solutions that cut pharma marketing approval times and deployed predictive models to map patient journeys. At Novo Nordisk, I honed my skills in applying causal ML to real-world marketing challenges, learning how to optimize marketing mix and budget allocation, and worked on LLM-powered analytics tools that enhanced decision-making. My work spans from causal inference, Bayesian modeling and predictive modeling to building production-ready ML services and optimizing large-scale data pipelines. I thrive where statistical depth meets scalable engineering and I am looking for roles in Data Science, Applied Science and Machine learning. Please feel to reach me at anshika.pradhanwork@gmail.com or anshika6@illinois.edu

Experience

3 yrs

Total Experience

3 yrs

Average Tenure

Current Experience

Novo nordisk

2 roles

Data Science Student Assistant

Aug 2025 – Present · 10 mos

Data Science Insights and Analytics Intern

Jun 2025 – Aug 2025 · 2 mos

Dataiku DSSCausal InferenceDesign of Experiments (DOE)Marketing Mix ModelingMarketing AttributionAttribution Modeling+1

University of illinois urbana-champaign

Graduate Research Assistant

Jan 2025 – Present · 1 yr 5 mos · Champaign, Illinois, United States

Data organization, annotation, and developing machine learning pipelines for bat acoustic classification software

Python (Programming Language)Acoustic dataData ClassificationDeep LearningFourier AnalysisMetadata Management

Zs

2 roles

Business Technology Solutions Associate Consultant

Dec 2023 – Aug 2024 · 8 mos

1. Worked as a Data Scientist to expedite the approval process of FDA content for pharmaceutical clients through the use of language model(GPT4 and GPT4-o).
2. Led the deployment of patient journey prediction algorithm on AWS Marketplace through the utilization of Sagemaker, cutting the deployment time for clients from 6 weeks to 2 weeks.
3. Led the design, build and deployment of a standardized data pipeline for a major pharmaceutical client, utilizing Hadoop(Spark), Hive and Python, cutting down the data pre-processing time from 3 weeks to 2 days.

Team ManagementHiveDockerPredictive ModelingHyperparameter TuningAWS Marketplace+7

Business Technology Solutions Associate

Aug 2021 – Dec 2023 · 2 yrs 4 mos

1. Development of Patient Prediction Module: Led the creation of a patient prediction module using XGBoost and Random Forest. Developed a data pipeline with custom feature engineering, leveraging Python and the cuDF framework to reduce processing time from 50 minutes (pandas) to 5 minutes (cuDF).
2. Dockerization & Cloud Integration: Dockerized the module, working closely with the cloud team using TeamCity for seamless deployment and scalability.
3. System Design & AWS Integration: Collaborated on the system design, integrating Redshift, AWS RDS, and EFS for efficient file storage and retrieval.
4. Client Application Migration: Guided a pharmaceutical client through transferring an in-house application to their platform, utilizing services like EFS, ECS, EC2, EKS, and CloudWatch. Led training sessions to ensure smooth adoption.
5. Mentorship & Training: Conducted Bootcamp training sessions for new hires on Python, SQL, and Tableau, and led advanced sessions for teammates on AWS services and cloud management.

Technical ArchitectureDockerPredictive AnalyticsAmazon Web Services (AWS)KubernetesTensorFlow+4

American express

Enterprise Data Analytics Intern

Jan 2021 – Jun 2021 · 5 mos

Created a robust Insight Recommendation System for merchants, utilizing PySpark and Hive.
Conducted market research and statistical analysis on transactional data, creating KPIs and personalized strategies that improved merchants' decision-making and boosted year-over-year performance.

Invideo

Software Engineer Intern

Jun 2019 – Jul 2019 · 1 mo · Mumbai, Maharashtra

• Developed template features for Invideo application using Python as backend and AngularJS as frontend.

Bharti airtel

Digital Intelligence Intern

May 2019 – Jun 2019 · 1 mo · Gurgaon, India

Migration of Oracle system to Hadoop- Worked with Digital Intelligence Team to migrate data from Oracle to Hadoop.
Utilized Spark SQL to predict user behavior and form customer segments to time the marketing campaigns strategically, leading to increased customer acquisition.