Dapinder Kaur

I do Data Science

About

"Seeker of truths both old and new, with dreams as vast as morning dew. In life's trials, joy I pursue, carving my place in the chosen few."

As a data enthusiast navigating streets filled with data in Winnipeg, I embrace new opportunities for innovation. The flowing river streams of algorithms here inspire me to experiment and a perfect blend of excitement with serenity help me contribute to this ever evolving field. Since my chilhood, I have found fascination in the biological and Computer sciences. While in high school, noticing the amazing outputs generated by Computers just like the human brains, led me to dig deeper into the field of Artificial Intelligence and I ended up in Data Science & Machine Learning at Red River College Polytechnic.
During my studies, I undertook a Machine Learning Project to predict the density and diversity of specific species of birds in the Alpine regions of Canada. This project further fueled my desire to use Computer systems to help Human beings tackle real world problems that would eventually help entire Humanity.
I have always been fond of coding making complex problems look simpler and still have a desire to explore new worlds of unexplored technologies along with the curiosity to learn new things on the way. Inspite of being equipped with the strong technical knowledge, I own a unique set of skills and passion to transform data into meaningful insights. If interested in knowing more about me, let's connect and do explore my entire portfolio below or on GitHub.

Skills

Python 97%

SQL 95%

statistical Analysis 98%

MS Excel 95%

Data Visualization 97%

Machine Learning 90%

Power BI 92%

NoSQL 85%

Resume

Education

Data Science & Machine Learning

2024 - 2025

Red River College, Winnipeg, MB

Prepared data for use in machine learning models through data revision and quality improvement in order to interpret and draw conclusions from statistical analysis of visualized and contextualized data. Managed data in compliance with regulatory standards through continuous learning from regulatory bodies and ethical behavior.

Experience

Peer Tutor

2024 - Present

Red River College, Winnipeg, MB

Used content knowledge and familiarity with course materials to help students better understand and apply course content. Helped students become independent and confident life-long learners through providing tutorial services in a safe, supportive environment that accommodates a diversity of learning and cultural backgrounds.

Projects

All
Python
Data Visualization
Machine Learning

Career Change Prediction

Developed a Career Change Prediction model to know the factors that influence Career Changes with a model accuracy of 99%. It can predict potential employee turnover or career transition patterns for HR analytics. Used GridSearchCV to experiment DecisionTreeClassifier and Support Vector Classifier from sklearn by standardizing the features with StandardScaler. Then, trained model using DecisionTreeClassifier with accuracy of 99%

GitHub

NASA Astronauts since 1959 dashboard

Used Power BI dashboards to visualize the astronauts data by NASA since 1959, a Map visual to locate the birth places of astronauts. Visualized the Space Flights (hr) spent by Astronauts using line and Pie charts, filtering the data with gender and status distribution. Visualized Space Walks (hr), Missions and Military service by astronauts along with the education majors in undergraduate and graduate studies.

Power BI dashboard | MS Excel

GitHub

Avian Diversity within Glacier National Park

Developed a Supervised Machine Learning Regression Model to identify the impacts of environmental factors, such as land use, and climate change on bird populations. Used parameter grid for testing the DecisionTreeRegressor model and pipeline for the Support Vector regressor (SVR) model with grid search to tune hyperparameters. Trained the final SVR model with mse of 2.34.

GitHub

Canada Alpine Terrestial Birds Insights with EDA

Derived insights from the birds data at Glacier National Park by cleaning the data and encoding the categorical features with LabelEncoder. Found the favourable temperature ranges for birds by plotting the Temperature Distrinution across Alpine regions in Canada. Used pairplot to visualize the relationships between the features in the dataset.

Python | Pandas | Matplotlib | Seaborn

GitHub

Python Project

Used Advanced features of the Python language along with the various libraries and Packages available to implement a project that gets current weather data of a particular location by fetching it from an API.

Python | API | sys

GitHub