Amish Patel
@amishpatel1
Senior Data Scientist specializing in scalable ML, generative AI, and measurable business impact.
What I'm looking for
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
Senior Data Scientist
Justworks
May 2025 - Present (5 months)
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.
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%.
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.
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.
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.
Education
Degrees, certifications, and relevant coursework
Rutgers University
Bachelor's Degree, Mathematics
2011 - 2015
Completed a Bachelor's Degree in Mathematics with coursework supporting analytical and quantitative modeling skills used in data science roles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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