Milan, data scientist

Milan

Data Scientist

Ahmedabad, India · Asia/Kolkata (UTC+5:30) · 6 years of experience

Milan focuses on turning messy data into tested models and useful decisions.

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Why this profile fits

Decision-first problem framing

Starts with the decision, target metric, and data limits before choosing a model or analytical method.

Validated modeling

Uses holdouts, experiment design, and error analysis to separate a useful signal from a convincing notebook.

Clear operational handoff

Documents assumptions, monitoring needs, and the path from analysis to a decision or production workflow.

Relevant toolkit

PythonSQLscikit-learnPyTorchdbt

Delivery evidence

Selected work

Workflow Automation Feature

internal engineering operations

Designed and delivered a decision-grade modeling system focused on software engineering for data workflows; shipped internal features supporting data-driven workflows. The release included clear assumptions, reproducible analysis, holdout validation, stakeholder review, and monitoring guidance.

PythonSQL

Internal Metrics Dashboard

internal engineering operations operations

Built the supporting control and measurement layer for the primary system, covering review queues, regression checks, operational visibility, and a documented handoff to the owning team.

PythonPyTorch
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Relevant experience

Career timeline

Data Scientist

2024–Present

Devlyn client assignments · Remote

  • Led software engineering for data workflows delivery for a internal engineering operations team and shipped internal features supporting data-driven workflows.

Software Engineer, Data Scientist

2021–2023

internal engineering operations product company (confidential) · Ahmedabad, India

  • Built production systems in internal engineering operations, with increasing ownership of reliability, testing, and stakeholder delivery.

Skill depth

Show experience in context.

VerbalCommunicationDomainUnderstandingProblemSolvingCodeQualitySystemDesignDeliverySpeed
Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

Python6 years
SQL5 years
scikit-learn4 years
PyTorch3 years
Experiment Design6 years
Statistics5 years
See the complete skill index

Languages

PythonTypeScriptSQLBash

Frameworks

SQLscikit-learnPyTorchpandasPolarsXGBoost

Tools

MLflowdbtStreamlitGitHub ActionsDocker

Platforms

DatabricksGoogle Vertex AIAWS SageMakerSnowflake

Storage

SnowflakeBigQueryPostgreSQLDelta Lake

Paradigms

Causal inferenceForecastingModel validationDecision science

Credentials

Certifications

Databricks Certified Machine Learning Professional

Databricks · 2024 · Certified

SnowPro Advanced: Data Scientist

Snowflake · 2023 · Certified

Communication

Languages

English

Fluent

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