Aman Guleria

Data Scientist

Bengaluru, Karnataka, India5 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 97% accuracy in SKU-level sales forecasting.
Delivered $26M profit uplift through price optimization.
Automated health monitoring for 160+ ML models.

Stackforce AI infers this person is a Data Science and MLOps expert with a focus on predictive analytics and cloud optimization.

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Skills

Core Skills

Machine LearningData ScienceBusiness ConsultingMlopsCloud Computing

Other Skills

AWSAWS Cost OptimizationAnalytical SkillsAnalyticsApache AirflowAutomationBitbucketBusiness AnalysisC++Cascading Style Sheets (CSS)Causal InferenceCommunicationComputer ScienceConsultingConsumer Behavior

About

• Data Scientist | MLOps • Tools & Tech: Machine Learning, Time series Forecasting, Python, SQL, MLflow, Airflow, Jenkins, Bitbucket, AWS, Snowflake, Excel, Docker, Kubernetes. • Working on a Pricing Simulator (97% accuracy) for PMI, forecasting SKU-level sales across 200+ SKUs, 50+ brands, and 30 key accounts using elasticities & consumer behavior • Led Price Optimizer project → $26M profit uplift for 7 brands in Canada • Built drift detection framework to proactively catch model degradation using statistical tests • Delivered 20% improvement in model accuracy for a Fortune 500 insurance client by monitoring drift & KPIs • Automated health monitoring for 160+ ML models, 50% faster onboarding & 30% reduction in manual effort • Developed model reporting framework with 70% reduction in manual effort & faster stakeholder insights • Reduced AWS spend by 15% with cost optimization automation; streamlined AWS access & governance

Experience

5 yrs

Total Experience

1 yr 5 mos

Average Tenure

8 mos

Current Experience

Tredence inc.

Data Scientist

Oct 2025 – Present · 8 mos · Bengaluru, Karnataka, India

Thoucentric

Data Scientist

Mar 2024 – Oct 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India

Working for Philip Morris International (PMI) world's largest tobacco client, on a Pricing Simulator to forecast SKU sales for a client's tobacco portfolio across different levels such as SKU, brand, and manufacturer within key accounts by leveraging price elasticities, historical volume trends, and consumer switching behavior.
Built a Price Optimizer for PMI, to provide the market with optimal prices for their products in order to maximize either their profit or market shares.

Machine LearningPricing SimulatorElasticitiesConsumer BehaviorData Science

Tiger analytics

3 roles

Senior Analyst (Data Scientist, MLOps)

Promoted

Jun 2023 – Mar 2024 · 9 mos · Bengaluru, Karnataka, India

Worked for a Fortune 500 P&C Insurer Client, Monitoring drift, KPIs, and analyzed model performance and trends for an Insurance Client, resulting in a 20% improvement in predictive accuracy and enhanced decision-making.
Automated Model Health Monitoring Framework which monitored over 160 models, reducing onboarding time by 50% and increasing operational efficiency.

Drift DetectionModel MonitoringKPI AnalysisData ScienceMLOps

Analyst (Data Scientist, MLOps)

Jun 2022 – Jun 2023 · 1 yr · Bengaluru, Karnataka, India

Automated a Model Health Monitoring Framework for Machine Learning models onboarding process, resulting in a 30% decrease in manual effort and improved scalability for the team.
Developed Model Report Generation Framework which resulting in a 70% reduction in manual effort.
Generated detailed reports on model run and execution, providing valuable insights to stakeholders and facilitating data-driven decision-making.
Designed an automation solution for optimizing Amazon Web Services (AWS) cost and services, resulting in a 15% reduction in AWS expenditure while maintaining optimal performance.
Onboarded multiple AWS users with required access, streamlining user management processes and ensuring proper governance and security measures.

Model Health MonitoringAWS Cost OptimizationReport GenerationMLOpsData Science

Data Science Intern

Sep 2021 – May 2022 · 8 mos · Bengaluru, Karnataka, India

Built machine learning models, analysed data, and prepared it for machine learning algorithms.
Utilized Kubernetes, Terraform, and Docker services for AWS cloud integration and deployment.

Machine LearningKubernetesDockerData ScienceMLOps

Highradius

2 roles

Software Engineer Intern

May 2021 – Sep 2021 · 4 mos · Hyderabad, Telangana, India

Collaborated with a team to develop client-requested features and build a user-friendly UI on the existing company environment portal, resulting in a 20% increase in user satisfaction and engagement.

Summer Intern

Jan 2021 – Apr 2021 · 3 mos · Hyderabad, Telangana, India

Developed an AI-powered functionality within the application to accurately predict the payment date of Sales Orders, resulting in a 30% reduction in late payments and improved cash flow management for clients.