Open to opportunities

awin anwar

@awinanwar

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Machine Learning and Data Science expert with 11 years of experience.

United States

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What I'm looking for

I am looking for opportunities that allow me to innovate and lead AI initiatives, fostering a collaborative environment that values data-driven decision-making and continuous learning.

I am a Machine Learning and Data Science expert with over 11 years of experience in predictive analytics, deep learning, and generative AI. My journey has been marked by a proven track record in developing and deploying AI/ML models that drive real-world business solutions. I have successfully led end-to-end model development, optimization, and deployment, utilizing my expertise in Python, Scikit-learn, and various cloud platforms.

Throughout my career, I have worked with top-tier companies like NVIDIA and Amazon, where I integrated machine learning with business intelligence to derive actionable insights. My experience spans across designing scalable ML pipelines, optimizing model performance, and collaborating with cross-functional teams to align ML initiatives with business objectives. I am passionate about leveraging technology to solve complex problems and enhance decision-making processes.

Experience

Work history, roles, and key accomplishments

Lead Machine Learning Engineer–Generative AI

Mu Sigma

Mar 2024 - Present (1 year 6 months)

Designed and deployed supervised and unsupervised ML models for classification, regression, and clustering tasks using Python, Scikit-learn, XGBoost, and LightGBM. Built scalable ML pipelines using MLflow, Airflow, and Docker for automated training, validation, and deployment.

Python scikit learn XGBoost LightGBM MLFlow Airflow Docker AWS Sagemaker

Senior Data Scientist / Data Analyst

NVIDIA

Feb 2021 - Present (4 years 7 months)

Led analytical projects integrating machine learning with business intelligence to drive actionable insights and data-driven decision-making. Conducted end-to-end data exploration, cleaning, and visualization using Python, SQL, and BI tools to identify trends, anomalies, and growth opportunities.

Python SQL Power BI scikit learn Pandas Airflow Data Visualization A B Testing

Machine Learning Engineer–AI/ML

Amazon

Apr 2019 - Present (6 years 5 months)

Led the design, development, and deployment of scalable machine learning solutions to support AI-driven personalization, fraud detection, and customer intelligence systems. Built production-ready ML models using Python, Scikit-learn, TensorFlow, and PyTorch, integrated with AWS services like SageMaker, Lambda, Step Functions, and Redshift.

Python scikit learn TensorFlow PyTorch AWS Sagemaker AWS Lambda AWS Step Functions AWS RedShift NLP Computer Vision OpenAI GPT 4 MLFlow Docker Airflow AWS Cloudwatch

Machine Learning Engineer

Fractal Analytics

Apr 2014 - Present (11 years 5 months)

Designed and deployed large-scale machine learning solutions across e-commerce, customer behavior analytics, and operations optimization. Built and maintained ML models for recommendation systems, fraud detection, and predictive analytics using Python, Scikit-learn, XGBoost, and AWS SageMaker.

Python scikit learn XGBoost AWS Sagemaker TensorFlow PyTorch NLP Computer Vision OpenAI GPT 4 Airflow MLFlow Docker Prompt Engineering

Education

Degrees, certifications, and relevant coursework

University of Management and Technology

Bachelor of Science, Computer Science

2010 - 2014

Studied Computer Science, gaining foundational knowledge in algorithms, data structures, and programming paradigms. Developed skills essential for a career in technology and machine learning.