Ramandeep Singh Dehal

Research Assistant

Cape Breton University•  May 2023 - Present•  Nova Scotia, Canada

Performed statistical analysis on Algorithmic Discrimination in Machine Learning by reviewing 305 papers. Created Tableau visualizations to identify trend; performing data analysis in algorithms discrimination occurrences, leading to reduced algorithmic bias; research paper published at a top-tier conference ICSE 2024, Lisbon. Conducting systematic review on Knowledge Graphs, their applications in LLMs to track trends & research gaps.

Technical Summer Student

Nova Scotia Government•  May 2024 - August 2024•  Nova Scotia, Canada

Developed Excel report automation tool in Python, improved data extraction & reduced time from 30 to 1 min. Streamlined data management by documenting GIS routine scripts and deployed Python code using ArcPy for geodatabase backups, ensuring accurate data collection with automated archival for performance evaluation.

Systems Engineer

Tata Consultancy Services•  July 2019 - December 2022•  Noida, India

Translated client’s domain knowledge to extract business strategic objectives into product development lifecycles. Developed API driven ‘Resource Navigator’ in Python, enabling data manipulation in Excel, distributed training techniques and Ontology-based knowledge graph creation; aiding in autoregressive sequence models. Developed object oriented RPA application in C# using Selenium to control UI through Scibite Centree REST API and data manipulation and collection into various sources, assisting Scientists and Data Analysts in using the MDM & Ontology library, resulting in a 70% efficiency increase in knowledge graph generation. Managed independent tasks, performed AB Testing & supported CRM Data applications while adhering to SLAs. Developed and maintained object oriented Java application on Unix, implemented SSO, and conducted POCs for client application data port and migration to Cloud; decreasing application load time by 50%. Deployed Web APIs on Azure Cloud, reducing processing time by 60%, adhered to Agile, led sprint planning, executed code review and documentation, mentored junior developers showcasing leadership skills.

Undergraduate Researcher

Manav Rachna Research Innovation and Incubation Centre•  July 2017 - October 2018•  Haryana, India

Conducted research and developed case studies on advance computational technologies like CUDA, OpenGL. Utilized CUDA for parallel computing in medical imaging, significantly speeding up data processing and analysis. Authored ’GPU Computing Revolution: CUDA’ ICACCCN, IEEE, 2018. Cited over 17 times. Developed a machine learning tool for disease prediction and severity assessment using Decision Tree and an NLP based online tool for aggregating product reviews on e-commerce websites using Sentimental Analysis.