Nagaraju Anthati - Senior Data Scientist

Q: Where is Nagaraju based?

Nagaraju is based in Stevenage, United Kingdom and can operate in on-site , hybrid , and remote work models.

Q: What languages does Nagaraju speak?

Nagaraju speaks the following languages: English (Advanced), Spanish (Elementary) .

Q: How many years of experience does Nagaraju have?

Nagaraju has at least 12 years of experience. During this time, Nagaraju has worked in at least 8 different roles and for 8 different companies . The average length of individual experience is 1 year and 6 months . Note that Nagaraju may not have shared all experience and actually has more experience.

Q: What is Nagaraju's latest experience?

Nagaraju's most recent position is Senior Data Scientist at JPMC .

Q: What companies has Nagaraju worked for in recent years?

In recent years, Nagaraju has worked for JPMC and Glaxo Smith Kline .

Q: Which industries is Nagaraju most experienced in?

Nagaraju is most experienced in industries like Healthcare , Pharmaceutical , and Banking and Finance . Nagaraju also has some experience in Retail , Information Technology (IT) , and Telecommunication .

Q: Which business areas is Nagaraju most experienced in?

Nagaraju is most experienced in business areas like Business Intelligence , Information Technology (IT) , and Marketing .

Q: Which industries has Nagaraju worked in recently?

Nagaraju has recently worked in industries like Healthcare , Pharmaceutical , and Banking and Finance .

Q: Which business areas has Nagaraju worked in recently?

Nagaraju has recently worked in business areas like Business Intelligence , Marketing , and Information Technology (IT) .

Recommended expert

Stevenage, United Kingdom

Experience

Nov 2023 - Present

2 years 3 months

United Kingdom

Senior Data Scientist

JPMC

Designed and deployed Bayesian Marketing Mix Models (MMM) using PyMC-3+ and PySpark, quantifying ROI and channel-level elasticity across retail and asset management portfolios.
Engineered ETL and feature pipelines in Airflow and AWS Databricks, automating ingestion of terabyte-scale marketing, transaction, and behavioral data from S3, Hive, Postgres, and Kafka.
Built Delta Lake + Apache Iceberg architecture supporting adstock, carry-over, and seasonal transformations for model input.
Implemented hierarchical Bayesian structures and regression-based MMMs using NumPy, PyMC, and TensorFlow Probability to model multi-region effects.
Optimized PySpark jobs with Liquid Clustering and adaptive partitioning, cutting MMM data-prep runtime by ~40%.
Automated model training, versioning, and deployment via MLflow and Databricks Asset Bundles, ensuring reproducibility and compliance.
Streamed near-real-time ad-exposure and conversion data from multi-tenant Kafka clusters into model pipelines.
Deployed probabilistic inference workflows on AWS EMR using distributed MCMC sampling, reducing convergence time significantly.
Delivered model explainability dashboards in Plotly Dash visualizing posterior distributions, channel effects, and uncertainty intervals.
Applied Bayesian regularization and feature selection techniques to optimize MMM performance.
Integrated MMM outputs into Snowflake and AWS RDS for BI and marketing analytics consumption.
Implemented data quality monitoring using Great Expectations and integrated validation across ETL workflows.
Collaborated with quant research teams to embed MMM-driven elasticities into financial forecasting models.
Automated CI/CD pipelines using Jules and ServiceNow for model retraining and deployment.
Delivered cross-functional MMM insights to marketing, finance, and analytics teams to support budget optimization.
Defined and implemented advanced eCommerce tracking for online transactions, allowing for granular reporting on product performance and customer journey analysis.
Integrated Google Analytics with third-party platforms, such as Google Ads and CRM systems, enabling cross-platform attribution and seamless data flow.
Utilized machine learning techniques, including regression analysis, decision trees, and clustering, to predict customer behavior and segment audiences for targeted marketing.
Developed a multi-touch attribution model to accurately assign conversion credit across digital touchpoints, improving understanding of the customer journey.
Worked on implementing resiliency, reliability, and availability of various asset and wealth management tools both on premises and in the cloud.
Worked on reconciliation and reporting integration of fund positions, instruments, cash, or money markets.
Worked on change management, release process and release management using Jules pipelines and ServiceNow.
Worked on AFX merchant reports, P&L validation and reporting related to various funds, assets, and instruments.
Worked on implementing real-time daily load status solution using Geneos dashboards.
Worked in a customer-facing role supporting various asset and wealth management MMM/ML activities.

Sep 2018 - Jan 2023

4 years 5 months

Stevenage, United Kingdom

Data Scientist - MMM/ML activities

Glaxo Smith Kline

Designed and implemented Bayesian MMM frameworks in PyMC to evaluate ROI across multichannel marketing campaigns in consumer health and pharma domains.
Built end-to-end ETL pipelines using Airflow, Kafka, Azure Data Factory, and Databricks, integrating CRM, sales, and process data (>100 TB).
Developed probabilistic regression models with hierarchical priors to capture campaign, region, and HCP-level heterogeneity.
Built schema-evolving data models using open table formats and ADLS Gen2 integration.
Implemented Bayesian inference workflows with MCMC sampling on Azure Databricks for channel elasticity estimation.
Developed custom priors to reflect domain knowledge such as decay rates, carry-over, and saturation effects.
Automated training and evaluation pipelines using Azure ML and MLflow with version-controlled experiments.
Implemented streaming analytics using Kafka + Flink to continuously refresh MMM datasets from digital and field systems.
Built PySpark feature stores and validation layers to ensure data quality and consistency.
Conducted model diagnostics using WAIC, LOO-CV, and posterior predictive checks.
Created Power BI and Plotly Dashboards for marketing teams to visualize MMM insights and posterior ROI curves.
Ensured data governance, lineage tracking, and GDPR/GxP compliance across all Azure data pipelines.
Migrated legacy MMM workloads from on-prem HDP to Azure Databricks, improving scalability and reducing processing time by 60%.
Built budget optimization simulators in Python using Bayesian Decision Theory principles.
Partnered with commercial analytics teams to operationalize MMM insights into forecasting and promotional planning models.
Worked on cloud hosted Kafka data sources and streamed using Kafka connectors and Flink.
Worked on creating standardized SQL engine clusters using Presto DB.
Worked on creating virtual cloud data warehouses using Snowflake and querying data using SnowSQL, Spark jobs, and Tez.
Worked on documentation on Confluence, code review and build management with Groovy on Jenkins.

Mar 2017 - Aug 2018

1 year 6 months

Reading, United Kingdom

Data Engineer

Visa Europe

Worked on data analysis on CDH5 and CDH6 clusters using Apache Hue.
Worked on autoscaling and maintenance of AWS EMR cluster.
Worked on massive data warehouse solutions to offload 800 TB of data from DB2 storage to Hadoop.
Worked on setting up streaming processes for transactional and clearance data using Kinesis.
Implemented workflow schedules using Airflow and Oozie.
Worked on implementing streaming ingestions using Kafka Confluent platform consisting of 10 broker nodes from various data sources.

Feb 2016 - Jan 2017

1 year

Madrid, Spain

Hadoop/Big Data Engineer

Solera Holdings

Technologies: Hadoop, Sqoop, Hive, HBase, Spark, AKKA, Lucene, Solr, Pig, Pentaho, Hue, Scala.

Jan 2015 - Jan 2016

1 year 1 month

Nottingham, United Kingdom

Big Data Hadoop Developer

Silicon Integra Limited

Technologies: Hadoop, Sqoop, R, Kite, SDK, Kudu, Hive (CDH5.4, CDH5.6), HBase, Impala, Hue, Spark, Oozie, AWS EMR, Azure, Solr, Pig, valuation and estimation algorithms, Paxata, Scala, Presto DB.

May 2014 - Jan 2015

9 months

Stockton-on-Tees, United Kingdom

Hadoop Developer / Analyst Consultant

Nortech Solutions

Technologies: Hadoop, Sqoop, Hive, HBase, Spark, AKKA, Lucene, Solr, Pig, Pentaho, Hue, Scala.

Aug 2013 - Jan 2014

6 months

Hyderabad, India

Bigdata Developer/Engineer

Nextgen Solutions

Technologies: Hadoop, Hive, Scala, JSF, MongoDB, HBase, ActiveMQ, multi-threading.

Mar 2012 - Mar 2013

1 year 1 month

India

Bigdata/Hadoop Engineer

Tata Telecom

Technologies: Hadoop Analytics, Pentaho, Java, Python, J2EE, Hadoop ecosystem.

Summary

Having overall 13+ years of experience in Planning, Building, Implementation, and Integration of full-scale commercial projects in the different verticals like Financial, Retail, Insurance, Banking, High-tech, social media, Oil and Gas and Networking/Telecom.

Worked with various cloud environments like AWS, Azure and open-source cloud deployment and configuration tools like Open stack and open nebula. Gained hands on experience on NoSQL databases like Mongo DB, HBase and Cassandra. Worked on various Agile practices like TDD, BDD, pair programming, continuous Integration and Scrum. Worked on programming languages like Java, Scala, Python, Golang, C, PySpark, Shell scripting, J2EE, JSF, Apache Hadoop eco System, Hortonworks, Cloudera, Accel Data ODP, ETL practices and Analytics platforms.

Skills

Pymc
Pymc-marketing
Bayesian Modelling
Regression
Classification/clustering
Timeseries Forecasting
Google Analytics
Genai
Lang Chain/lang Graph
Milvus
Neilson Marketing Cloud
Python
Sql
Java
Git
Docker
Mongodb
R
Presto Db
Linux/unix
Github
Spring Boot
Artificial Intelligence
Etl
Cloud Services
Bash
Ansible
Graphql
Nosql
Eks
Jupyter Hub
Scala
Kubernetes
Apache Hadoop
Conflient/kafka
Oracle Database
Azure Adf,azure Datalake
Databricks
Azure Synapse
Dataiku
Sagemaker
Azure Dsvm
Slurm/lsf
Data Analysis
Statistical Modelling
Model Deployment
Cloud Data Engineering
Advanced Analytics
Machine Learning
Generative Ai
Solution Development
Streaming Data Pipelines
Staging Tables
Low Latency Solutions
Multitasking Abilities
Decision-making
Self-motivated

Languages

English

Advanced

Spanish

Elementary

Education

Jan 2014 - Jul 2015

Northumbria University

Master of Science, Computer Science · Computer Science · Newcastle upon Tyne, United Kingdom

May 2006 - Jun 2010

JNTU

Bachelor of Technology, Electrical, Electronics And Communications Engineering · Electrical, Electronics And Communications Engineering · India

Profile

Created

December 2025

Last Update

January 2026

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Nagaraju based?

Nagaraju is based in Stevenage, United Kingdom and can operate in on-site, hybrid, and remote work models.

What languages does Nagaraju speak?

Nagaraju speaks the following languages: English (Advanced), Spanish (Elementary).

How many years of experience does Nagaraju have?

Nagaraju has at least 12 years of experience. During this time, Nagaraju has worked in at least 8 different roles and for 8 different companies. The average length of individual experience is 1 year and 6 months. Note that Nagaraju may not have shared all experience and actually has more experience.

What roles would Nagaraju be best suited for?

Based on recent experience, Nagaraju would be well-suited for roles such as: Senior Data Scientist, Data Scientist - MMM/ML activities, Data Engineer.

What is Nagaraju's latest experience?

Nagaraju's most recent position is Senior Data Scientist at JPMC.

What companies has Nagaraju worked for in recent years?

In recent years, Nagaraju has worked for JPMC and Glaxo Smith Kline.

Which industries is Nagaraju most experienced in?

Nagaraju is most experienced in industries like Healthcare, Pharmaceutical, and Banking and Finance. Nagaraju also has some experience in Retail, Information Technology (IT), and Telecommunication.

Which business areas is Nagaraju most experienced in?

Nagaraju is most experienced in business areas like Business Intelligence, Information Technology (IT), and Marketing.

Which industries has Nagaraju worked in recently?

Nagaraju has recently worked in industries like Healthcare, Pharmaceutical, and Banking and Finance.

Which business areas has Nagaraju worked in recently?

Nagaraju has recently worked in business areas like Business Intelligence, Marketing, and Information Technology (IT).

What is Nagaraju's education?

Nagaraju holds a Master in Computer Science from Northumbria University and a Bachelor in Electrical, Electronics And Communications Engineering from JNTU.

What is the availability of Nagaraju?

Nagaraju is immediately available part-time for suitable projects.

What is the rate of Nagaraju?

Nagaraju's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.