Kamal Preet Singh Data Scientist | Data Engineer | Data Analyst

Email: kamalpreetsingh@srhu.edu.in Linkedin: “https://www.linkedin.com/in/kaypee-singh/” GitHub: https://github.com/kaypee1010

PROFESSIONAL SUMMARY

Data professional with international experience across Australia and India specializing in data engineering, machine learning, and analytics solutions. Expertise in building scalable ETL pipelines, transforming complex datasets, and delivering actionable insights to support business decision-making and digital transformation initiatives.

TECHNICAL SKILLS

Programming: Python, SQL Data Engineering: ETL Pipelines, Data Cleaning, Data Transformation Cloud Platforms: AWS, Microsoft Azure Data Tools: Snowflake, Talend, Tableau, Power BI Machine Learning: Predictive Modeling, NLP, Deep Learning Basics Databases: SQL, Relational Databases Tools: Git, APIs, Jupyter

PROFESSIONAL EXPERIENCE

Data Engineer / Data Analyst — HCF Insurance, Sydney Aug 2022 – Aug 2023

• Designed and implemented ETL pipelines using Talend and Snowflake.
• Improved reporting efficiency through automated data transformation workflows.
• Delivered insights supporting marketing, compliance, and operations.
• Contributed to enterprise digital transformation initiatives.

Associate Data Consultant — Servian, Melbourne Jan 2022 – Jul 2022

• Developed analytics solutions and dashboards for enterprise clients including Betfair.
• Managed Snowflake environments and optimized data workflows.
• Delivered data insights for marketing performance optimization.

Data Analyst — Kepler Analytics Dec 2021 – Jan 2022

• Built business intelligence reports from transactional datasets.
• Automated reporting processes to improve efficiency and accuracy.

Data Research Intern — Melbourne Data Analytics Platform Jul 2021 – Dec 2021

• Developed machine learning pipelines for text classification and computer vision tasks.
• Conducted exploratory data analysis and model evaluation using Python.

ACADEMIC EXPERIENCE

Assistant Professor — Swami Rama Himalayan University Aug 2024 – Present

• Teaching Machine Learning, Data Science, and AI courses with industry applications.
• Supervising AI and IoT student projects.

Assistant Professor — UPES Jul 2015 – Feb 2020

EDUCATION

Master of Information Technology (Artificial Intelligence) University of Melbourne — 2021

Master of Engineering (Computer Science) PEC University — 2013

Bachelor of Technology (Computer Science) PTU — 2011

PROJECT EXPERIENCE

Machine Learning Applications for Smart Systems IoT-Based Smart Infrastructure Projects Data Analytics Dashboards and Reporting Systems

CERTIFICATIONS

AWS Certified Cloud Practitioner Microsoft Azure Fundamentals Microsoft Azure AI Fundamentals Splunk Fundamentals

PUBLICATIONS & PATENTS

Research publications with ~400 citations and multiple patent filings in AI and IoT domains.

Work authorization: India and international opportunities