Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a data scientist with 4+ years of experience in machine learning, deep learning, and natural language processing. I enjoy building scalable data pipelines, developing predictive models, and applying advanced analytics to drive business outcomes. I have hands-on experience with cloud platforms (AWS, Azure, GCP), end-to-end model deployment, and performance optimization, and I actively collaborate with product managers, engineers, and analysts to deliver data-driven solutions. In recent roles, I have delivered fraud detection, personalization, and recommendation systems for fintech and e-commerce. I value clear communication, model explainability, and audit readiness, and I strive to translate complex data into actionable insights while partnering with cross-functional teams to achieve measurable impact.…I am a data scientist with 4+ years of experience in machine learning, deep learning, and natural language processing. I enjoy building scalable data pipelines, developing predictive models, and applying advanced analytics to drive business outcomes. I have hands-on experience with cloud platforms (AWS, Azure, GCP), end-to-end model deployment, and performance optimization, and I actively collaborate with product managers, engineers, and analysts to deliver data-driven solutions. In recent roles, I have delivered fraud detection, personalization, and recommendation systems for fintech and e-commerce. I value clear communication, model explainability, and audit readiness, and I strive to translate complex data into actionable insights while partnering with cross-functional teams to achieve measurable impact.

Abhishek Reddy

Data Scientist, AI Developer, AI Engineer, +3





I am a data scientist with 4+ years of experience in machine learning, deep learning, and natural language processing. I enjoy building scalable data pipelines, developing predictive models, and applying advanced analytics to drive business outcomes. I have hands-on experience with cloud platforms (AWS, Azure, GCP), end-to-end model deployment, and performance optimization, and I actively collaborate with product managers, engineers, and analysts to deliver data-driven solutions. In recent roles, I have delivered fraud detection, personalization, and recommendation systems for fintech and e-commerce. I value clear communication, model explainability, and audit readiness, and I strive to translate complex data into actionable insights while partnering with cross-functional teams to achieve measurable impact.…I am a data scientist with 4+ years of experience in machine learning, deep learning, and natural language processing. I enjoy building scalable data pipelines, developing predictive models, and applying advanced analytics to drive business outcomes. I have hands-on experience with cloud platforms (AWS, Azure, GCP), end-to-end model deployment, and performance optimization, and I actively collaborate with product managers, engineers, and analysts to deliver data-driven solutions. In recent roles, I have delivered fraud detection, personalization, and recommendation systems for fintech and e-commerce. I value clear communication, model explainability, and audit readiness, and I strive to translate complex data into actionable insights while partnering with cross-functional teams to achieve measurable impact.

Available to hire

I am a data scientist with 4+ years of experience in machine learning, deep learning, and natural language processing. I enjoy building scalable data pipelines, developing predictive models, and applying advanced analytics to drive business outcomes. I have hands-on experience with cloud platforms (AWS, Azure, GCP), end-to-end model deployment, and performance optimization, and I actively collaborate with product managers, engineers, and analysts to deliver data-driven solutions.

In recent roles, I have delivered fraud detection, personalization, and recommendation systems for fintech and e-commerce. I value clear communication, model explainability, and audit readiness, and I strive to translate complex data into actionable insights while partnering with cross-functional teams to achieve measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist at Stripe

February 1, 2024 - Present

Developed an AI-driven transaction classification and anomaly detection system, partnered with product managers, financial analysts, and ML engineers to define problem statements and labeled datasets; modeled merchant categorization using BiLSTM and Transformer architectures in PyTorch and TensorFlow; executed large-scale training on AWS SageMaker; built streaming pipelines with AWS Kinesis and Glue to enable real-time inference and retraining; applied NLP using Hugging Face Transformers to extract semantic features from merchant names and descriptions; evaluated models with precision, recall, F1, and business KPIs; productionized inference with AWS Lambda and API Gateway; established monitoring with CloudWatch and drift/audit readiness.

Data Scientist at eBay India

May 1, 2021 - December 1, 2022

Led development of a personalized product recommendation system using Python and Azure ML; processed 100M+ user interactions with PySpark and pandas; built scalable pipelines via Azure Data Factory; developed hybrid recommender models (collaborative filtering with deep learning), achieving ~28% uplift in CTR; engineered temporal/contextual features and semantic embeddings; deployed real-time inference with FastAPI and AKS; implemented AutoML and MLflow for experiments and versioning; monitored delivery with Azure Monitor/Prometheus; evaluated via precision@k, recall, NDCG, and A/B tests.

Junior Data Scientist at eBay India

May 1, 2020 - April 1, 2021

Assisted in developing a product categorization model using NLP and LightGBM, improving taxonomy accuracy by 15%; processed millions of listings with pandas, T-SQL, and Azure Data Lake; collaborated with senior data scientists to extract textual and image metadata, engineer keyword-based features, and validate outputs via cross-validation; automated model retraining with Azure ML and scheduled batch scoring; generated weekly Power BI dashboards to monitor precision, recall, and drift.