Mohammed Shaban
Contact details — on requestProof of Work — on request
Experience
Data Scientist
Mestastop® Solutions · May 2026 – Present
- ✦ Promoted to Data Scientist (May 2026) for independently owning model lifecycle — from business requirement scoping through SageMaker deployment and post-deployment monitoring.
- ✦ Lead cross-functional coordination across R&D, clinical, and C-suite stakeholders.
Data Scientist
MESTASTOP SOLUTIONS · Jun 2024 – Present
- Spearheaded parallel PoC and production tracks across 4+ enterprise AI/ML workflows as the sole individual contributor - driving 40% improvement in operational efficiency and influencing $200K+ in product investment decisions.
- Co-invented a granted ML algorithm patent (filed with 3 co-inventors), contributing to model architecture, feature engineering, validation strategy, and performance optimization - recognized as a top technical contributor.
- Architected end-to-end ML pipelines on AWS (SageMaker, S3, EC2) - automated ingestion, model training, and REST API serving - reducing inference latency by 35% and enabling real-time product decisions at scale.
- Designed and improved scalable machine learning pipelines for 4+ studies for data pre-processing, feature engineering, automated model training, feature selection, and performance evaluation, reducing analysis time by 40% while improving model reproducibility.
- Engineered SHAP and LIME explainability layers across 5+ models, surfacing feature-level reasoning through Power BI dashboards - tripling model adoption rate among non-technical researchers & stakeholders within 90 days of proposal.
- Partnered with 8+ teams to define problem, troubleshoot model behavior, and drive adoption of AI-powered features - cutting post deployment support escalations by 20%.
- Mentored 2 junior data scientists through structured model reviews and code walkthrough; standardized team ML tool kits in Python - reducing project on-boarding time by 30% and cutting per-project setup overhead by 20%.
Junior Data Scientist
Mestastop® Solutions · Jun 2024 – May 2026
Data Scientist
TuringMinds.Ai · Oct 2022 – Feb 2024
- • Developed and tuned ensemble models (XGBoost, Random Forest) on 1,500+ structured datasets to predict customer behaviour outcomes, improving model accuracy from 70% to 80% through rigorous cross-validated feature selection.
- • Automated the EDA-to-modelling workflow using Pandas and Scikit-learn pipelines, reducing per-project data-preparation time by approximately 30% and enabling faster iteration across client engagements.
- • Delivered insight dashboards and model-findings presentations to management, translating technical outputs into business-ready narratives that directly informed product and growth decisions.
Data Scientist
TURING MINDS.AI · Oct 2022 – Feb 2024
- Developed XGBoost and Random Forest ensemble models across 1,500+ structured datasets, lifting model accuracy from 70% to 80% through iterative feature selection and cross-validation - promoted to lead client-facing model delivery within 8 months of joining.
- Executed 12+ A/B tests and hypothesis tests to evaluate model effectiveness and business impact - findings directly informed product road-map decisions worth $50K+ in prioritized engineering effort.
- Standardized team ML delivery by building reusable Python project scaffolding for pre-processing, modeling, and evaluation pipelines cutting per-project setup time by 30% across a 6-person data science team.
- Produced 15+ Power BI dashboards and stakeholder presentations from EDA outputs - surfacing revenue-impacting anomalies and trend signals used in weekly senior leadership reviews.
T
Data Scientist
Turing Minds.Ai · Oct 2022 – Dec 2022
- • Executed structured EDA on 2+ client datasets using Pandas, Matplotlib, and Seaborn, identifying key patterns and data-quality issues that shaped the modelling strategy for subsequent project phases.
Skills 0 proven through work
Also works with
Dynamic Model DesignData Structure OwnershipSpeaking ClearlyReceiving and Incorporating FeedbackIndependent WorkAdaptive PlanningProject TrackingWork Planning and PrioritizationFostering Team MotivationProblem SolvingTeamworkMentoring and Peer CoachingTrain-Test Split ValidationApplication MonitoringFeature SelectionK-Fold Cross-ValidationEnsemble LearningRandom Forest ModelingXGBoost ModelingError HandlingStructured LoggingCI/CD Pipeline ImplementationGitHub ActionsDockerAWS DeploymentFastAPI DevelopmentYAML Configuration WritingFeature EngineeringData PreprocessingProduction System MonitoringEnd-to-End Data Science Lifecycle ManagementStakeholder Communication AdaptationDashboard UI DesignExplainable AIDecision Support System DevelopmentProof of Concept DevelopmentAI Agent DevelopmentLarge Language Model ConceptsGenerative AI ApplicationModel Metric Selection & InterpretationModel Training ExecutionML Training & Testing PipelinesMachine Learning ApplicationData Science
Proof of Work
Proof of Work
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Education
B.E., Information Science and Engineering
T John Institute of Technology · 2018 — 2022
Contact details
Contact details
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