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I am Salman Mostafa, a data scientist with 10+ years of experience in data science and 4 years in Generative AI and agentic AI. I specialize in statistical analysis, data analytics, data modeling, and building custom algorithms for real-time decision systems. I am passionate about deploying NLP, computer vision, RPA, and AI-driven improvements, collaborating with product and engineering teams to turn complex data into practical solutions. I enjoy designing scalable data pipelines, implementing agentic AI workflows, and grounding AI reasoning in robust data assets. I thrive in cross-functional environments and enjoy translating analytical insights into measurable business impact.…I am Salman Mostafa, a data scientist with 10+ years of experience in data science and 4 years in Generative AI and agentic AI. I specialize in statistical analysis, data analytics, data modeling, and building custom algorithms for real-time decision systems. I am passionate about deploying NLP, computer vision, RPA, and AI-driven improvements, collaborating with product and engineering teams to turn complex data into practical solutions. I enjoy designing scalable data pipelines, implementing agentic AI workflows, and grounding AI reasoning in robust data assets. I thrive in cross-functional environments and enjoy translating analytical insights into measurable business impact.

Salman Mostafa

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I am Salman Mostafa, a data scientist with 10+ years of experience in data science and 4 years in Generative AI and agentic AI. I specialize in statistical analysis, data analytics, data modeling, and building custom algorithms for real-time decision systems. I am passionate about deploying NLP, computer vision, RPA, and AI-driven improvements, collaborating with product and engineering teams to turn complex data into practical solutions. I enjoy designing scalable data pipelines, implementing agentic AI workflows, and grounding AI reasoning in robust data assets. I thrive in cross-functional environments and enjoy translating analytical insights into measurable business impact.…I am Salman Mostafa, a data scientist with 10+ years of experience in data science and 4 years in Generative AI and agentic AI. I specialize in statistical analysis, data analytics, data modeling, and building custom algorithms for real-time decision systems. I am passionate about deploying NLP, computer vision, RPA, and AI-driven improvements, collaborating with product and engineering teams to turn complex data into practical solutions. I enjoy designing scalable data pipelines, implementing agentic AI workflows, and grounding AI reasoning in robust data assets. I thrive in cross-functional environments and enjoy translating analytical insights into measurable business impact.

Available to hire

I am Salman Mostafa, a data scientist with 10+ years of experience in data science and 4 years in Generative AI and agentic AI. I specialize in statistical analysis, data analytics, data modeling, and building custom algorithms for real-time decision systems. I am passionate about deploying NLP, computer vision, RPA, and AI-driven improvements, collaborating with product and engineering teams to turn complex data into practical solutions.

I enjoy designing scalable data pipelines, implementing agentic AI workflows, and grounding AI reasoning in robust data assets. I thrive in cross-functional environments and enjoy translating analytical insights into measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Afar

Advanced

Javanese

Intermediate

Work Experience

Agentic AI Specialist at Walmart

January 1, 2025 - Present

Developed autonomous multi-agent systems on Google Cloud Platform using Vertex AI, the Agents Development Kit (ADK), and Gemini 2.5 for coordinating inventory forecasting, logistics routing, and customer service automation. Built scalable data pipelines with BigQuery and Dataflow for real-time retail and logistics data, and implemented reinforcement learning for adaptive pricing and demand forecasting. Deployed multi-agent orchestration through ADK for coordination across forecasting and fulfillment agents, integrating with Walmart’s internal APIs under governance and security policies. Used MLflow, Vertex AI Model Monitoring, and OpenTelemetry for continuous performance tracking and observability, achieving improvements in inventory accuracy and operational efficiency.

Data Engineer / Data Scientist at Walmart Connect

November 1, 2023 - January 1, 2025

Resolved data reliability issues and owned end-to-end ETL pipelines in GCP, managed Airflow workflows, and delivered datasets for Marketing Mix Models (MMM). Served as the data SME for marketing pipelines, mentored a junior engineer, and transformed Walmart TVWall data into a production-grade marketing channel integrated into MMM models. Led ETL and reporting infrastructure for a high-visibility Customer Lifetime Value (CLV) initiative supporting $40M+ in advertising investments and built a RAG-based internal knowledge chatbot using vector databases, semantic search, and OpenAI APIs. Collaborated with data owners to evaluate new marketing channels and deployed robust validation and monitoring processes.

Data Scientist / NLP Engineer at BearingPoint

January 1, 2021 - August 1, 2023

Applied NLP, machine learning, and data analytics across multiple industries, performing data profiling, model development with transformers (BERT, GPT, ELMO), and ML pipelines deployed on AWS and GCP. Built hybrid recommender systems, customer segmentation, and marketing analytics; contributed to RPA-enabled workflows and documented solutions for business stakeholders. Utilized Python packages (NumPy, Pandas, Scikit-Learn), TensorFlow, and Docker/Kubernetes for production deployment; collaborated with compliance for appropriate use cases and delivered actionable analytics.

Data Scientist at Elevance Health (Anthem Inc)

January 1, 2019 - December 1, 2020

Developed end-to-end ML solutions for OCR-based document processing, fraud detection, churn prediction, and time-series price forecasting. Used Google Cloud Platform for deployment and maintenance of models; leveraged AWS Textract for text extraction, OpenCV for coordinate-based text extraction, and deep learning frameworks (PyTorch, TensorFlow). Built and evaluated various models (ARIMA, SARIMA, CNN, LSTM, Cox Proportional Hazards), and deployed GPU-accelerated models. Presented results to stakeholders and integrated models into production environments.

Data Scientist at MSNBC

April 1, 2017 - January 1, 2019

Developed NLP-based filtering to categorize Twitter feeds into Spam, News, Reviews, and sentiment, including real vs. fake news classification. Built recommender systems for news topics, implemented text preprocessing (tokenization, stopword removal, stemming/lemmatization), and deployed a Flask-based API on AWS. Evaluated against AWS SageMaker Comprehend and achieved competitive performance. Delivered end-to-end solutions from model development to front-end integration.

Data Scientist at Penske Automotive Group

February 1, 2016 - April 1, 2017

Developed ML and DL models to optimize used-car lot revenue, including price prediction, survival analysis for time-to-sale, and time-series analysis of prices. Performed data scraping for replacement part pricing, built SQL databases, and categorized damage levels using NLP-based sentiment analysis. Created actionable visualizations in Tableau to communicate pricing and survival insights to stakeholders.