Open to opportunities

Amish Patel

@amishpatel1

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Senior Data Scientist specializing in scalable ML, generative AI, and measurable business impact.

United States

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What I'm looking for

I seek roles building production ML and generative-AI systems that deliver measurable business impact, in collaborative, product-focused teams that value scalability and experimentation.

I am a Senior Data Scientist with 9+ years building machine learning, generative AI, and analytics systems across HR tech, advertising, and industrial domains. I focus on translating complex data into productized AI features that drive engagement, efficiency, and ROI.

At Justworks and Xandr (Microsoft), I delivered production ML systems that reduced churn by 15%, boosted ad campaign ROI by 30%, and cut operational downtime by 90%. I design predictive models, LLM-powered assistants, real-time bidding algorithms, and forecasting systems that produce measurable business outcomes.

Technically, I work across LLMs (GPT, LLaMA, Claude), deep learning (PyTorch, TensorFlow, Fast.ai), tree-based models (XGBoost, LightGBM), and large-scale data platforms (Spark, Hadoop, Kafka, Snowflake, Databricks) on AWS and GCP. I also implement MLOps with Airflow, MLflow, Docker, and Kubernetes to ensure robust, scalable deployments.

I thrive in cross-functional settings partnering with engineering and product teams to integrate AI features, run rigorous A/B tests, and build analytics dashboards that inform leadership. I prioritize practical, impact-driven ML that improves customer experience and business metrics.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Justworks

May 2025 - Present (1 year 1 month)

Designed churn prediction and LLM-powered HR assistant that reduced monthly churn by 15% and support tickets by 40%; launched forecasting and anomaly detection pipelines improving capacity planning accuracy 22% and flagging 98% of payroll issues in real time.

PyTorch LLMs AWS SQL Tableau MLOps A B Testing Embeddings Data Pipelines LLM

Senior Data Scientist

Xandr

Mar 2022 - Sep 2024 (2 years 6 months)

Engineered real-time bidding systems handling 600B+ daily requests and built deep-learning CTR models that improved click-through rates 17% and ad ROI 30% while reducing auction latency by 25%.

Spark Kubernetes PyTorch Real Time Bidding SQL Tableau

Data Scientist

Xandr

Jul 2019 - Mar 2022 (2 years 8 months)

Built forecasting and clustering models for inventory and segmentation, cutting allocation errors 15% and lifting campaign CTRs 10%; automated ML retraining pipelines to reduce deployment lag from days to hours.

Pyspark Python Airflow SQL A B Testing Cohort Analysis

Data Scientist

Honeywell

Sep 2016 - Jun 2019 (2 years 9 months)

Developed predictive-maintenance and anomaly-detection systems for IoT sensors that reduced unplanned downtime by 90% and saved $450K annually; built Spark+Kafka pipelines processing 1TB+ daily.

Predictive Maintenance Spark Kafka Python Anomaly Detection IoT Computer Vision

FP&A Intern

SterlingBackcheck

Jun 2015 - Sep 2015 (3 months)

Built Excel and SQL models for revenue/expense forecasting and automated variance analysis, improving budget accuracy by 10% and identifying $500K in cost savings.

Financial Modeling Excel SQL Forecasting Forecast Variance Analysis Reporting Automation)Automation