Driving business transformation through data, AI, and decision-focused analytics

I work at the intersection of data, AI, and business strategy, helping organizations move from raw data to actionable decisions. My focus is not just building models, but ensuring they deliver measurable operational impact, improve processes, and support business transformation initiatives.

Open to data science, AI, analytics, and digital transformation roles where business impact is the primary measure of success.

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Featured Research

The two academic projects that best represent the depth of my applied AI work.

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Master Thesis

Federated Learning for Healthcare: Evaluating Client Contribution and Fairness with Heterogeneous Medical Data

Master thesis exploring federated learning under heterogeneous medical data distributions, with particular focus on client contribution, fairness, and the behavior of collaborative learning in realistic healthcare settings.

Major Stack

PythonPyTorchMedical ImagingDeep Learning

Advanced Stack

Federated LearningFlowerNon-IID EvaluationClient Contribution AnalysisFairness Analysis

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Bachelor Thesis

Automatic Personality Recognition System Using Time-Distributed CNN

Bachelor thesis on automated personality recognition from asynchronous video interviews, using deep learning to infer OCEAN personality traits from visual interview signals.

Major Stack

PythonTensorFlowComputer VisionDeep Learning

Advanced Stack

Time-Distributed CNNVideo Interview AnalysisApparent Personality RecognitionOCEAN Trait Modeling

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What People Say

Recommendations that reflect how I work across business, delivery, and collaboration.

He takes strong ownership, delivers high-quality results with minimal supervision, adapts quickly to complexity, and consistently adds real value to the team.

Head of Service Design & Catalog Management

Allianz Technology

He shows strong initiative, thinks critically, and approaches challenges with a practical, solution-oriented mindset while consistently maintaining a high standard of work.

Global Head of Data & AI

Innomotics

He combines business understanding, project leadership, and technical depth. People rely on him for problem-solving, conflict resolution, and keeping teams aligned.

Data Science Manager

Cognizant

He brings ownership, kindness, and steady support to every project, creating a positive environment and helping teams perform well even under pressure.

Senior ML Engineer

Tactii & TactLabs

He is self-motivated, dependable, and contributes beyond academics through technical events, presentations, and collaborative work. His communication and support for others make him memorable.

Professor, Data Science

Anna University

Business-first approach

I build data and AI systems that support decisions, not just demos.

My focus is on solving business problems through better visibility, automation, and decision support. That means building systems that stakeholders can trust, use, and scale.

I work best where data science is tied directly to operational outcomes, service performance, transformation initiatives, and measurable business value.