Available for opportunities

Sukhkirandeep
Kaur Sidhu

Ph.D. · Data Specialist · Professor · Toronto, Canada

I build systems that turn raw data into clarity — from scalable ETL pipelines and machine learning models to BI dashboards that help people make smarter decisions.

View Projects Get in Touch GitHub ↗
3+
Years experience
Ph.D
Computer Science
6
GitHub projects
6
Certifications

About Me

Professor & Data Specialist

I'm a data specialist and researcher with a Ph.D. in Computer Science, with experience in data analysis, machine learning, and data engineering. Proficient in scalable ETL pipelines, SQL data models, and Python-powered predictive models and BI dashboards.

My background spans academic research at West Virginia University, applied teaching at Sheridan and Conestoga College in Ontario, and deep technical work across Python, SQL, TensorFlow, Tableau, and Power BI.

Connect with me

✉sukhkirandeep.kaur@gmail.com 💼LinkedIn Profile 🐙github.com/kirangil0189l 🌐sukhkirandeep.com

Work History

Experience

Professor — Partial-Load / Part-Time
Sheridan College & Conestoga College · Ontario, Canada
  • Designed and delivered curriculum in SQL, NoSQL, ETL and business intelligence to teach scalable data pipelines and data modeling.
  • Built Python-based ETL exercises and grading pipelines that ingested, cleaned, and validated large datasets.
  • Mentored student projects on feature engineering and predictive modeling, translating model outputs into business decisions.
  • Implemented data validation and QA workflows illustrating production-ready reliability practices.
2023 — Present
Postdoctoral Researcher
West Virginia University · USA
  • Led a funded image-analysis project: built end-to-end Python pipeline for ingestion, preprocessing, augmentation, and deep-learning model training.
  • Developed and evaluated segmentation models with hyperparameter tuning and statistical evaluation.
  • Created visualizations translating model outputs into reports for technical and non-technical audiences.
  • Collaborated with multidisciplinary researchers with regular written and oral progress updates.
Mar 2022 — Apr 2023
Assistant Professor
Lovely Professional University · India
  • Served as PI on a cybersecurity research project designing a BYOD forensic-readiness framework.
  • Conducted research in machine learning, database systems, and networking.
  • Applied statistical methods to predictive analytics and data modeling projects.
Jul 2018 — Dec 2021

Technical Skills

Tools & Technologies

Languages
Python SQL R C/C++ PL/SQL
Databases
MySQL PostgreSQL MongoDB Oracle NoSQL Azure Data Studio
ML & Data Science
Machine Learning Pandas TensorFlow Scikit-learn OpenCV Feature Engineering
BI & Visualization
Tableau Power BI ETL Data Warehousing Data Visualization

Portfolio

Featured Projects

DW
↗
Energy Production Data Warehouse & Analytics Dashboard
SQL data warehouse project for analyzing asset downtime — end-to-end ETL pipeline connected to a Power BI dashboard for real-time operational insights.
SQL Server ETL Power BI
View Project →
ML
↗
Fake Job Posting Classifier
Detects fraudulent job postings using machine learning with an interactive Streamlit web interface — full feature engineering and model evaluation pipeline.
Python Machine Learning Streamlit
View Project →
BI
↗
Employee Sales Performance Insights
Complete analytics pipeline simulating realistic sales assignments — PL/SQL data aggregation with Tableau dashboards for business intelligence reporting.
Tableau PL/SQL Business Intelligence
View Project →
HC
↗
Hospital Admission Analysis
Tableau dashboard exploring New York hospital admission patterns — EDA revealing trends in patient volumes, utilization rates, and healthcare outcomes.
Tableau Healthcare EDA
View Project →
CA
↗
Crime Severity Index — Canadian Provinces
Visualizes Crime Severity Index trends across Canadian provinces 2019–2023, with a focused 2022 vs 2023 year-over-year comparison using interactive Tableau charts.
Tableau Public Data Data Storytelling
View Project →
CX
↗
Customer Churn Prediction
LightGBM model to predict customer churn — full preprocessing with Pandas, feature selection, model training and Scikit-learn evaluation pipeline.
Python LightGBM Scikit-learn
View Project →

Learning

Certifications

⚡
Hands-On AI: Automate Data Analytics and Reporting with n8n
Professional Certification
🔧
Data Engineering Foundations
LinkedIn Learning
📈
Career Essentials in Data Analysis
Microsoft & LinkedIn
📊
Learning Data Analytics: Foundations
LinkedIn Learning
🚀
Learning Data Analytics Part 2: Extending and Applying Core Knowledge
LinkedIn Learning
🤖
Artificial Intelligence Foundations: Machine Learning
LinkedIn Learning

Academic Background

Education

🎓
Ph.D. — Computer Science
National Institute of Technology
2018
🎓
M.Tech. — Computer Science & Engineering
Lovely Professional University
2012
🎓
B.Tech. — Computer Science & Engineering
Punjabi University
2010

Let's work
together

Open to data specialist, analytics, research and teaching opportunities across Canada and remotely.

✉
Emailsukhkirandeep.kaur@gmail.com
 💼
LinkedInsukhkirandeep-kaur-sidhu
 🐙
GitHubgithub.com/kirangil0189l