- Analyze SPAN vs SPAN2 margining systems to enhance risk management processes for energy and equity products. - Monitor and analyze optimizer results daily to ensure cost-effective margining strategies.- Conduct comparative analysis of SPAN2 vs SPAN2 approx models to identify and leverage performance improvements.- Develop and maintain dynamic dashboards using various dashboard and data analysis libraries like Streamlit, Dash, Dask, and Polars to provide real-time insights and data visualization for stakeholders.- Utilize Google App Script to automate and streamline various operational tasks within Google Workspace.- Leverage advanced Python techniques to optimize and modernize legacy codebases, significantly boosting operational efficiency.- Use Bash and PowerShell scripting to automate routine tasks, improving system efficiency and reliability.

- Automated various manual operational tasks, significantly improving efficiency and accuracy in daily operations using BeautifulSoup4 and Selenium webdriver. - Automated CSP (customer security program) from swift.com to check compliance of counterparty banks. Achieved over 98% time saving due to automation while reducing error chance to zero.- Regularly utilized Tableau & Looker for designing intuitive and insightful dashboards to facilitate data-driven decision-making for stakeholders.- Settled OTC interest rate swaps for over eight currencies using Calypso based on the Bloomberg and Reuters bid-ask range.- Leveraged Google App Script to automate tasks within Google Workspace, further streamlining operational workflows.- Used Flask, Django & Streamlit to create web apps and explored newer frameworks like Solara to streamline operations.

- Explored automation using AI.- Delved deep into the intricacies of evolutionary algorithms, understanding more on their potential to emulate human learning patterns.- Leveraged the power of reinforcement learning techniques to create innovative models that mirror the sophistication of human cognition and decision-making processes.- Modelled various evolutionary algorithm techniques for range-based regression models.- Used libraries like PyGame and Kivy to make 2D games with evolutionary algorithms running in backend.

- Solved a multitude of complex problems centered around file handling, demonstrating adaptability and technical prowess.- Converted scanned copies of invoices into JSON format using Regular Expressions (RegEx), significantly improving data accessibility and utilization.- Used Tesseract for OCR of partially incomprehensible invoices.

- Played a crucial role in a data-intensive, high-stakes environment at the Defense Research and Development Organization (DRDO), where my responsibilities centered around data analysis and real-time visual insight generation.- Worked within the central data processing department in handling a continuous batch flow of critical missile data.- Created and simulated real-time visual insights, enabling swift and accurate interpretations of data using Python.- Optimized legacy C++ codes using STL (Standard Template Library).

- Volunteered in the successful development of a brand-new website for my school (http://www.mpsbalasore.org) using a template-based approach in under 2 months.- Coordinated with a skilled team to ensure the seamless integration of various features and functionalities into the website.- Customized the template to align with the school's unique requirements and brand identity while adding new elements as needed.- Added various JavaScript based code modules to help with slideshow of pictures, auto-scroll of recent notices, downloadable documents and collection of various forms.