Looking for a job

maham shah

@mahamshah

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I build production machine learning, generative AI, and recommendation solutions for complex business problems.

United States

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What I'm looking for

I’m looking for a Senior Data Scientist role where I can apply my expertise in machine learning, Generative AI, and data science to build impactful solutions, collaborate with cross-functional teams, and continue growing professionally.

At Hansei Solutions, I lead end-to-end data science initiatives spanning predictive modeling, generative AI, recommendation systems, experimentation, and advanced analytics through production deployment.

I build LLM-powered applications with RAG, embeddings, vector search, and prompt engineering, and develop recommendation solutions using behavioral signals, collaborative filtering, and hybrid models. I also lead A/B testing and translate statistical results into product and business decisions.

Previously at Ample Insight and Accela Software, I developed predictive models, NLP solutions, feature-engineering pipelines, and analytical workflows using Python and SQL. I partner with Product, Engineering, Analytics, Risk, and Compliance teams to deliver scalable, governed data-driven solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Hansei Solutions

Mar 2024 - Present (2 years 6 months)

Lead end-to-end data science initiatives spanning predictive modeling, Generative AI, recommendation systems, experimentation, and advanced analytics, from business problem definition through production deployment. Develop and optimize machine learning models using Python, SQL, Scikit-learn, XGBoost, PyTorch, and statistical methods, with emphasis on model accuracy, scalability, interpretability,

Python SQL scikit learn XGBoost PyTorch RAG Embeddings Vector Search Prompt Engineering Collaborative Filtering Hybrid Modelling A B Testing Spark MLFlow Docker Kubernetes Model Monitoring Data Quality Model Governance

Data Scientist

Ample Insight

Sep 2021 - Feb 2024 (2 years 5 months)

Developed and deployed predictive models for customer, product, operational, risk, and business use cases using Python, SQL, Scikit-learn, XGBoost, and statistical modeling techniques. Built scalable feature-engineering and analytical pipelines across structured and unstructured data, improving the reliability and efficiency of model development workflows.

Python SQL scikit learn XGBoost Statistical Modeling Feature Engineering NLP Text Classification Embeddings Transformers Entity Extraction Semantic Similarity A B Testing Experimental Design Statistical Testing

Associate Data Scientist

Accela Software

May 2019 - Aug 2021 (2 years 3 months)

Supported development of machine learning and statistical models for forecasting, classification, segmentation, customer analytics, and operational decision-making. Used Python and SQL to clean, transform, analyze, and validate large datasets while identifying predictive features, trends, anomalies, and data-quality issues.