- Engineered Python data pipelines for raw data cleaning, transformation, and preprocessing, optimising it for process mining applications and training ML models.- Implemented Python-based algorithms to analyse process bottlenecks and conduct root cause analysis within logistical processes to enhance operational efficiency.- Visualised complex technical data using Python packages like matplotlib, seaborn and other tools, enabling clear communication with non-technical stakeholders.- Engaged in managing version control, ensuring code quality and streamlining workflows.- Co-authored research papers presented at international conferences.

- Assisted in the design and evaluation of Jupyter notebook assignments for the master-level course "Implementation of Databases" for assessing DBMS, SQL and Big Data concepts for enhanced learning outcomes.- Supported examination management and student queries, contributing to quality assurance efforts.

- Responsibilities included developing camera and browser applications for a proprietary Android device with an emphasis on devising secure data solutions. - Engaged throughout the complete software development life cycle (SDLC), experienced in AGILE development and use of enterprise-level project management tools like JIRA and Bitbucket. - Developed prototype applications using Python to achieve speech-to-text conversion via CMU Sphinx, and a C++ GStreamer application to produce panoramic views for autonomous driving.

- Created an interactive web tool for visualizing the accuracy of analysts' stock market predictions.- Gathered data from web sources and used NLP techniques to measure KPIs for ranking analysts' predictions.- Prepared project schedules and documentation, effectively communicating project progress to engage stakeholders.