Jaskirat Singh

Data Scientist and Machine Learning Engineer with 4 years of experience in time series analysis, computer vision, and Natural Language Processing. Completed MSc research at Queen's University (Canada) focused on Edge AI deployment optimization. 2 years of industry experience at TCS deploying Machine Learning models at scale on cloud platforms. Skilled in Python, PyTorch, TensorFlow, Docker, and MLOps best practices.

Data Scientist - IBM (India) - Hybrid

(2025-07 - 2025-11)

• Developed ML use cases using Python and its ML stack for NatWest, a leading global multinational consumer bank.
• Built an AI Receptionist application using IBM Watson Retrieval-Augmented Generation (RAG) APIs.

Systems Engineer – Data Science - TCS (India) - Remote

(2020-10 - 2022-08)

• Developed a SARIMA-based time series forecasting system to predict microservice response time and Major GC, automatically alerting support teams when thresholds were breached.
• Trained a Random Forest model to predict microservice response time from resource utilization metrics, improving proactive monitoring.
• Built a full-stack application (HTML, CSS, JavaScript for frontend; Flask for backend) to predict break points of newly deployed microservices using historical performance test results.
• Performed root cause analysis of fraudulent log activity by detecting anomalies in log sequences using K-Means Clustering on metrics such as status codes, response time, and log exceptions.
• Integrated Splunk APIs to extract microservice performance metrics and used SQLite for storing ML model insights.
• Deployed ML applications on Linux Virtual Machines and delivered projects using Agile methodology.
• Designed custom data visualization dashboards using Matplotlib and Seaborn to monitor KPIs and support engineering decision-making.
• Developed Python and SQL ETL pipelines to transform JSON data from disparate sources into production-ready datasets.
• Published: "AIOps Framework for Alerting Performance Issues In Microservices using Time Series Forecasting", IJEAST (2022). DOI: https://doi.org/10.33564/IJEAST.2022.v07i03.008

Master of Science - Computing - Queen's University (2022-09 - 2024-11) Kingston, Ontario, Canada

Bachelor of Technology - Computer Science and Engineering - Guru Gobind Singh Indraprastha University (2016-09 - 2020-09) Delhi, India