Srivathsa C S
Degree confirmed by Illinois Institute of Technology, Dr Ambedkar Institute of Technology
Contact details — on requestProof of Work — on request
Experience
H
Analytics Associate
Hyperpulse Al · Aug 2026 – Present
- Conduct advanced analytics on global sales data using Python, assessing the impact of recent price increases across customers, products, and markets to identify patterns relevant to pricing and commercial strategy
- Develop a data-driven approach to estimate end-customer prices where distributor-level pricing is unavailable, combining transaction data, analytical research, and Claude Al-assisted research and analysis to develop and evaluate potential methodologies
- Synthesize deep-dive analytical findings into client-ready insights for a Phase 0 pricing excellence proof of concept, supporting the decision on whether to advance the initiative into Phase 1
Analytics Associate
HyperPulse · Aug 2026 – Present
- Conduct advanced analytics on global sales data using Python, assessing the impact of recent price increases across customers, products, and markets to identify patterns relevant to pricing and commercial strategy
- Develop a data-driven approach to estimate end-customer prices where distributor-level pricing is unavailable, combining transaction data, analytical research, and Claude AI–assisted research and analysis to develop and evaluate potential methodologies
- Synthesize deep-dive analytical findings into client-ready insights for a Phase 0 pricing excellence proof of concept, supporting the decision on whether to advance the initiative into Phase 1
L
Data Scientist
Lands' End Incorporated · Aug 2021 – Jan 2024
- Owned the end-to-end lifecycle of household-level targeting models for catalog campaigns, delivering scoring outputs adopted by marketing operations and supporting ~$400K in campaign revenue during active deployment
- Executed AWS-based analytics pipelines (Airflow, Glue, S3) to generate feature and target datasets supporting model training and production scoring
- Evaluated Logistic Regression, Random Forest, and XGBoost using cross-validation, ROC-AUC, and lift/gains analysis, leveraging MLflow for experiment tracking and benchmarking against BAU targeting strategies
- Presented model performance insights and recommendations to stakeholders, influencing campaign targeting decisions and adoption of model-driven approaches
- Performed root-cause analysis to resolve inconsistencies in campaign performance metrics across Power BI dashboards by building a POC dataset in Redshift to standardize CAC, ROAS, and LTV, ensuring consistent reporting
- Led data validation for Netezza -> Redshift migration by developing reconciliation checks across multiple tables (8+), ensuring data consistency and minimizing discrepancies in reporting outputs prior to cutover
- Refactored legacy SAS/R reporting workflows into Python pipelines, reducing manual effort by ~30–40% while improving maintainability and standardizing cross-functional reporting processes
Data Scientist
Lands' End · Aug 2021 – Jan 2024
- Owned end-to-end development of household-level targeting models for catalog campaigns, delivering scoring outputs adopted by marketing operations and supporting ~$400K campaign revenue during active deployment
- Worked with AWS-based analytics pipelines (Airflow, Glue, S3) to support data preparation, feature engineering, and scoring workflows
- Evaluated multiple modeling approaches using cross-validation and lift/gains analysis, leveraging MLflow for experiment tracking and benchmarking performance against BAU targeting strategies
- Presented model performance insights and recommendations to stakeholders, influencing campaign targeting decisions and adoption of model-driven approaches
- Refactored legacy SAS/R reporting workflows into Python pipelines with SQL-based data extraction and transformation, reducing manual effort by ~30–40% and improving maintainability while standardizing cross-functional reporting processes
- Led data validation for Netezza → Redshift migration by developing reconciliation checks across multiple datasets/tables (8+), ensuring data consistency and minimizing discrepancies in reporting outputs prior to cutover
- Performed root-cause analysis to resolve inconsistencies in campaign performance metrics across Power BI dashboards by building a POC dataset in Redshift to standardize CAC, ROAS, and LTV, ensuring consistent reporting
I
Data Analyst
ICONMA LLC · Oct 2020 – Jul 2021
- Built a Python- and SQL-based customer matching process to reconcile legacy and new customer records in SQL Server, producing a unified, analytics-ready customer dataset used for segmentation and retention analysis and contributing to ~15% improvement in customer retention
- Designed and executed ETL workflows to standardize customer attributes from external survey sources, ensuring consistency across downstream reporting and analytics
- Automated recurring operational and management reporting by linking customer-level outputs to unique identifiers in Excel, reducing manual reporting effort by ~80%
Data Analyst
ICONMA · Oct 2020 – Jul 2021
- Contract role supporting client assignment at CNH Industrial.
- Built Python- and SQL-based customer matching logic using record linkage techniques to reconcile legacy and new system records, producing a unified, analytics-ready customer dataset.
- Enabled segmentation and retention analysis by standardizing customer attributes and identifiers across multiple source systems.
- Designed ETL workflows by extracting customer survey data from LimeSurvey, transforming and standardizing attributes using Python and SQL, and loading clean datasets into SQL Server for downstream reporting and analytics
- Automated recurring operational and management reporting using Excel (VBA, macros), reducing manual effort by ~80%.
Applied Analytics Trainee
Illinois Institute of Technology · Mar 2020 – Oct 2020
- Built a churn analytics prototype using Python and SQL to identify at-risk customer segments.
- Deployed a Flask-based application on AWS EC2 to enable review of analytical outputs.
Applied Analytics Trainee (Unpaid)
Illinois Institute of Technology · Mar 2020 – Oct 2020
- Built a customer churn prediction prototype on banking data using Python to identify at-risk customer segments and support retention-focused analytics use cases
- Packaged the prototype into a lightweight Python-Flask web application and deployed it on AWS EC2 to enable demonstration and evaluation of analytical outputs
T
Software Engineer
Tata Consultancy Services Limited · Oct 2019 – Mar 2020
- Performed root-cause analysis on data and document integration issues between Salesforce and Veeva Vault, resolving recurring operational failures and saving ~$30K annually
- Executed ad-hoc SQL queries and validations on Salesforce CRM data to support operational reporting, issue investigation, and compliance requests
Software Engineer
Tata Consultancy Services · Oct 2019 – Mar 2020
- Client-facing role supporting AbbVie.
- Delivered SQL-based operational and KPI reporting on Salesforce CRM data for business and compliance teams.
- Performed data validation and root-cause analysis across Salesforce and Veeva Vault integrations.
Skills 0 proven through work
Also works with
Front-End AnalyticsRecord LinkageProactive InitiativeCross-Departmental CoordinationAdaptabilityStrategic PlanningMarketing SupportPower BIRoot Cause AnalysisJSON Data HandlingREST API Endpoint DevelopmentAPI IntegrationData ValidationHeuristicsBusiness Logic ImplementationPostgreSQL Database UsageMLflow UsageHypothesis-Driven ExperimentationModel Metric Selection & InterpretationManual TestingProduction Deployment VerificationML Training & Testing PipelinesAWS GlueMachine Learning Model DeploymentModel Performance ImprovementKPI AnalysisClassification ModelingCampaign Performance AnalysisMLOps ImplementationProcess ImprovementInformation ResearchAI-Assisted DevelopmentClaude DesignClaude CodeExplaining Technical ConceptsData VisualizationAnalytical Report CreationStakeholder Communication Adaptationpandas UsagePython DevelopmentCustomer Behavior AnalysisData TransformationProblem SolvingAI Solution DesignPattern RecognitionTime Series Trend AnalysisData-Driven RecommendationsData StorytellingExploratory Data Analysis (EDA)
Proof of Work
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Education
M.S., Computer Science
Illinois Institute of Technology · 2017 — 2019
B.E, Computer Science
Dr Ambedkar Institute of Technology · 2013 — 2017
Contact details
Contact details
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