• Led a healthcare project utilizing Large Language Models (LLMs) to extract critical insights from unstructured medical records, optimizing patient care strategies and driving enhanced decision-making.• Developed interactive, real-time data visualization tools with Streamlit and LangChain, boosting user engagement and enabling dynamic analysis and interpretation of complex datasets.• Engineered cutting-edge Convolutional Neural Networks (CNNs) for image classification and object detection, achieving significant improvements in model accuracy and overall performance.

• Experienced with Digital Twin platforms, from defining the scope to delivering optimized solutions aligned with business and technical needs.• Applied Reinforcement Learning techniques (Agent-based Modeling and Black Swan Paradox) to solve complex, unpredictable business challenges and market scenarios.• Strong foundation in Mathematics, Statistics, and Algebra, enabling deep understanding of modeling, data structures, and algorithms.• Managed 100TB+ data in GCP BigQuery for data engineering tasks, including data collection, transformation, and analysis.• Utilized Docker and Kubernetes for efficient containerization, enabling scalable deployment of machine learning models and applications.• Conducted Exploratory Data Analysis (EDA) with Power BI, Tableau, and Matplotlib, creating dashboards, visualizing trends, and gathering actionable insights from large datasets.• Collaborated with cross-functional teams and stakeholders to define, prioritize, and implement key business and model requirements.• Followed Agile methodology (Jira) throughout the software development lifecycle, ensuring iterative progress and stakeholder alignment.• Delivered machine learning models in banking and telecom, achieving 80-85% accuracy and optimizing performance metrics like R2, MSE, and MAE through hyperparameter tuning and advanced techniques.• Implemented MLOps/DevOps pipelines on GCP/Azure, with CI/CD and version control, ensuring efficient deployment and model maintenance.• Reduced workload by 20% through automated data pipeline creation, improving overall productivity.• Applied NLP techniques for sentiment analysis and information extraction through web scraping, deploying models to generate insights.• Contributed to backend development using Python, Django, Kafka, and API integration, working with databases like MySQL, SQL Server, and MongoDB.

• Drove a 600% increase in sales for a startup within its first year, establishing a foundation for sustained, consistent growth in the following years.• Extracted and analyzed unstructured data, delivering actionable insights that empowered data-driven business decisions. Developed regression and time-series models to assess market trends, resulting in a 15-20% increase in profit margins.• Designed and implemented interactive dashboards using Tableau and Power BI, visualizing key performance indicators, trends, and insights to support strategic decision-making across the organization.

• Streamlined incident management workflows, ensuring efficient tracking and swift resolution of security incidents, improving overall response times.• Designed and implemented comprehensive forms and reports to enhance the identification, assessment, and remediation of vulnerabilities, strengthening the organization's security posture.

• Collaborated with a cross-functional team of 3-5 members to develop supervised machine learning models, utilizing large datasets for training, evaluation, and optimization.• Performed comprehensive data cleaning, analysis, and visualization to ensure the accuracy and reliability of data used in model development, enhancing overall model performance.• Designed and implemented robust reporting systems and interactive dashboards, visualizing key metrics and insights to support data-driven decision-making across the organization.