Pratik Chavan Email & Phone Number

Mumbai, Maharashtra, India

Designed and implemented a real-time trading monitoring system using OCaml, reducing latency by 12% and increasing trade execution accuracy by 25%. This system was critical for improving the responsiveness of trading operations and minimizing financial risk.Developed and deployed a network monitoring tool leveraging open source software, which improved network uptime by 15% and reduced incident response time by 10%. This tool provided comprehensive visibility into network performance and allowed for proactive issue resolution.Led a team in creating sophisticated risk models using functional programming techniques, enhancing risk assessment accuracy by 20%. These models were integrated into the firm's accounting systems, providing more reliable financial forecasts and better risk mitigation strategies.

Mumbai, Maharashtra, India

Model Development & Optimization: Design, develop, and fine-tune large language models (LLMs) to improve performance and accuracy across various applications, including customer service chatbots, document processing, and predictive analytics.Advanced NLP Techniques: Apply state-of-the-art NLP techniques to handle tasks such as text summarization, sentiment analysis, and entity recognition, utilizing frameworks like spaCy and Transformers to achieve high-quality results.Successfully enhanced the accuracy and efficiency of LLM applications, leading to a 20% improvement in user engagement and satisfaction.Developed and deployed an advanced NLP solution that streamlined document processing, reducing manual intervention by 40% and accelerating turnaround times.Contributed to a cross-team project that integrated LLM capabilities into a new customer feedback system, resulting in more actionable insights and improved service delivery.

Navi Mumbai, Maharashtra, India

Built and optimized classification models using Regression, SVM, Random Forest, XGBoost, and Neural Networks, increasing the accuracy of credit card payment default predictions by 4%. Utilized Python, scikit-learn, and Spark to enhance model performance.Developed modular and efficient code in Python and SQL, reducing data processing time by 30%. Designed and implemented robust data pipelines with Hadoop, Spark, and Hive, facilitating large-scale data analysis and improving overall workflow efficiency.Led the deployment of machine learning models into production using DevOps and MLOps best practices, ensuring seamless integration and scalability. Utilized CI/CD pipelines and cloud environments like Azure and AWS to enhance the reliability and performance of AI solutions.

Mumbai, Maharashtra, India

Led a team of 8-9 members to analyze customer feedback using random forests for categorization, resulting in a 7% increase in customer satisfaction. Leveraged Python and Spark for efficient data processing and modeling, enhancing the accuracy and relevance of feedback analysis.Designed and deployed scalable AI models utilizing advanced ML libraries such as NumPy, SciPy, and scikit-learn, driving commercial outcomes and improving key business metrics. These models contributed to significant revenue growth and operational efficiency.Executed AB tests to evaluate website changes, leading to a 15% increase in conversion rates. Provided data-driven recommendations for user experience optimization by utilizing SQL for data retrieval and analysis, and effectively communicated insights through visualization tools like PowerBI and Tableau.

Education record

Bachelor Of Science - Bs, Computer Science

Bachelor of Science in Data Science and Analytics from the University of Mumbai. Acquired in-depth knowledge in machine learning.