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I am a dedicated Data Scientist with hands-on experience in delivering impactful data science projects involving fraud detection, NLP generative AI chatbots, face matching apps using deep learning, hate speech classification, and object detection with yolov9 and OCR. I am highly skilled in Python, SQL, PySpark, Power BI, Azure Cloud, and geospatial tools, and passionate about building scalable data pipelines using ELT/ETL tools to deliver actionable insights. Throughout my career, I have focused on creating efficient machine learning models and pipelines, orchestrating deployments on Azure, and developing innovative AI chatbots that improve user experiences. I thrive on collaborating within agile teams and leveraging a wide range of technologies to solve business challenges with data-driven solutions.…I am a dedicated Data Scientist with hands-on experience in delivering impactful data science projects involving fraud detection, NLP generative AI chatbots, face matching apps using deep learning, hate speech classification, and object detection with yolov9 and OCR. I am highly skilled in Python, SQL, PySpark, Power BI, Azure Cloud, and geospatial tools, and passionate about building scalable data pipelines using ELT/ETL tools to deliver actionable insights. Throughout my career, I have focused on creating efficient machine learning models and pipelines, orchestrating deployments on Azure, and developing innovative AI chatbots that improve user experiences. I thrive on collaborating within agile teams and leveraging a wide range of technologies to solve business challenges with data-driven solutions.

Ameya (Adam) Damle

Data Scientist, AI Engineer, Developer, +2

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I am a dedicated Data Scientist with hands-on experience in delivering impactful data science projects involving fraud detection, NLP generative AI chatbots, face matching apps using deep learning, hate speech classification, and object detection with yolov9 and OCR. I am highly skilled in Python, SQL, PySpark, Power BI, Azure Cloud, and geospatial tools, and passionate about building scalable data pipelines using ELT/ETL tools to deliver actionable insights. Throughout my career, I have focused on creating efficient machine learning models and pipelines, orchestrating deployments on Azure, and developing innovative AI chatbots that improve user experiences. I thrive on collaborating within agile teams and leveraging a wide range of technologies to solve business challenges with data-driven solutions.…I am a dedicated Data Scientist with hands-on experience in delivering impactful data science projects involving fraud detection, NLP generative AI chatbots, face matching apps using deep learning, hate speech classification, and object detection with yolov9 and OCR. I am highly skilled in Python, SQL, PySpark, Power BI, Azure Cloud, and geospatial tools, and passionate about building scalable data pipelines using ELT/ETL tools to deliver actionable insights. Throughout my career, I have focused on creating efficient machine learning models and pipelines, orchestrating deployments on Azure, and developing innovative AI chatbots that improve user experiences. I thrive on collaborating within agile teams and leveraging a wide range of technologies to solve business challenges with data-driven solutions.

Available to hire

I am a dedicated Data Scientist with hands-on experience in delivering impactful data science projects involving fraud detection, NLP generative AI chatbots, face matching apps using deep learning, hate speech classification, and object detection with yolov9 and OCR. I am highly skilled in Python, SQL, PySpark, Power BI, Azure Cloud, and geospatial tools, and passionate about building scalable data pipelines using ELT/ETL tools to deliver actionable insights.

Throughout my career, I have focused on creating efficient machine learning models and pipelines, orchestrating deployments on Azure, and developing innovative AI chatbots that improve user experiences. I thrive on collaborating within agile teams and leveraging a wide range of technologies to solve business challenges with data-driven solutions.

Skills

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Expert

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Work Experience

Azure Data Engineer at Blackmont Consulting

February 1, 2025 - August 26, 2025

Orchestrated machine learning model deployments on Azure Kubernetes Service (AKS) with CI/CD pipelines, ensuring consistency and reducing deployment time. Adapted open-source LLMs using PEFT/LoRA fine-tuning on Azure compute, enabling efficient model specialization with reduced resource costs. Developed a medical assistant chatbot using cognitive search and vector databases for context-aware responses. Created RAG pipelines with LangChain and OpenAI/Anthropic/OpenRouter APIs for contextual retrieval-based question answering over unstructured datasets in Azure Blob Storage.

Data Scientist at Cognizant

September 1, 2023 - August 26, 2025

Built ETL pipelines with Apache Spark processing over 10 million claim records weekly, ensuring data quality and efficiency. Supported development of an ensemble ML model that reduced fraud detection false positives by 22%. Led MLOps transformation by creating GitLab CI/CD pipelines for versioning, retraining, and monitoring enabling scalable deployments. Automated A/B testing pipelines to streamline model experimentation and validation.

Data Engineer at British Airways

March 1, 2023 - August 26, 2025

Automated scheduling and monitoring of data pipelines using Apache Airflow, improving workflow efficiency by 60%. Developed automated A/B testing pipelines with SQL and Spark for faster validation and deployment. Engineered real-time data streaming pipelines on Databricks integrated with MLflow and APIs, providing low-latency predictions. Deployed and maintained containerized ML pipelines using Docker and Kubernetes for scalable and reliable solutions.

Data Scientist at HDFC ERGO General Insurance

July 1, 2022 - August 26, 2025

Applied statistical tests and machine learning models to detect fraudulent claims, reducing false positives by 50% and improving claims handling efficiency. Delivered actionable analytics by integrating Azure Synapse and Databricks outputs into Power BI dashboards for dynamic pricing and segmentation. Designed interactive dashboards and geospatial visualizations with Power BI and Folium. Engineered new rating factors, increasing underwriting profitability by 3.5%.

Junior Data Scientist at HDFC ERGO General Insurance

December 1, 2019 - August 26, 2025

Improved claims outcome prediction by 18% with machine learning models strengthening risk segmentation. Collaborated with Pricing Analysts, Actuaries, and Data Engineers to integrate predictive models into live pricing algorithms. Enhanced geographic risk assessment by 30% using spatial smoothing techniques for better accident hotspot identification and district clustering.