Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Priyanka Vasavada, a dedicated and detail-oriented M.Eng. student in Systems and Computer Engineering specialized in Data Science at Carleton University. I have a strong academic background with a B.Eng. in Electronics and Communication from CHARUSAT University and practical experience in data science internships and software development projects. I am passionate about applying data science techniques and programming skills to solve real-world problems and enhance technology-driven solutions. I thrive in collaborative environments where I can leverage my analytical storytelling ability, attention to detail, and time management skills to deliver impactful projects. With experience in machine learning, data visualization, and web development, I continuously seek opportunities to grow professionally in cutting-edge technical fields and contribute meaningfully to teams and organizations.…I am Priyanka Vasavada, a dedicated and detail-oriented M.Eng. student in Systems and Computer Engineering specialized in Data Science at Carleton University. I have a strong academic background with a B.Eng. in Electronics and Communication from CHARUSAT University and practical experience in data science internships and software development projects. I am passionate about applying data science techniques and programming skills to solve real-world problems and enhance technology-driven solutions. I thrive in collaborative environments where I can leverage my analytical storytelling ability, attention to detail, and time management skills to deliver impactful projects. With experience in machine learning, data visualization, and web development, I continuously seek opportunities to grow professionally in cutting-edge technical fields and contribute meaningfully to teams and organizations.

Priyanka Vasavada

Data Scientist, Web Developer, Programmer, +2





I am Priyanka Vasavada, a dedicated and detail-oriented M.Eng. student in Systems and Computer Engineering specialized in Data Science at Carleton University. I have a strong academic background with a B.Eng. in Electronics and Communication from CHARUSAT University and practical experience in data science internships and software development projects. I am passionate about applying data science techniques and programming skills to solve real-world problems and enhance technology-driven solutions. I thrive in collaborative environments where I can leverage my analytical storytelling ability, attention to detail, and time management skills to deliver impactful projects. With experience in machine learning, data visualization, and web development, I continuously seek opportunities to grow professionally in cutting-edge technical fields and contribute meaningfully to teams and organizations.…I am Priyanka Vasavada, a dedicated and detail-oriented M.Eng. student in Systems and Computer Engineering specialized in Data Science at Carleton University. I have a strong academic background with a B.Eng. in Electronics and Communication from CHARUSAT University and practical experience in data science internships and software development projects. I am passionate about applying data science techniques and programming skills to solve real-world problems and enhance technology-driven solutions. I thrive in collaborative environments where I can leverage my analytical storytelling ability, attention to detail, and time management skills to deliver impactful projects. With experience in machine learning, data visualization, and web development, I continuously seek opportunities to grow professionally in cutting-edge technical fields and contribute meaningfully to teams and organizations.

Available to hire

I am Priyanka Vasavada, a dedicated and detail-oriented M.Eng. student in Systems and Computer Engineering specialized in Data Science at Carleton University. I have a strong academic background with a B.Eng. in Electronics and Communication from CHARUSAT University and practical experience in data science internships and software development projects. I am passionate about applying data science techniques and programming skills to solve real-world problems and enhance technology-driven solutions.

I thrive in collaborative environments where I can leverage my analytical storytelling ability, attention to detail, and time management skills to deliver impactful projects. With experience in machine learning, data visualization, and web development, I continuously seek opportunities to grow professionally in cutting-edge technical fields and contribute meaningfully to teams and organizations.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Data Science Intern at CHARUSAT Space Research and Technology Center

April 30, 2022 - August 26, 2025

Performed exploratory data analysis and feature engineering on a car insurance dataset from Kaggle, handling missing values and identifying correlations. Visualized data statistics using Seaborn and Matplotlib libraries to provide insights. Applied predictive models including Logistic Regression, RandomForest, SVC, and boosting algorithms such as AdaBoost, Gradient Boost, and XGBoost, achieving a highest accuracy of 85.45% with XGBoost. Presented weekly progress reports to the professor and incorporated feedback to enhance project outcomes.

Data Science Intern at CHARUSAT Space Research and Technology Center

August 31, 2020 - August 26, 2025

Developed a Convolutional Neural Network (CNN) model using TensorFlow, Keras, and Scikit-learn to classify handwritten digits and arithmetic symbols from the MNIST dataset, achieving up to 97% accuracy. Applied the model to interpret and solve handwritten mathematical equations as part of a prototype system. Delivered regular progress updates and communicated effectively with the team during weekly meetings.

Graduate Assistant at Women in Engineering and IT, Carleton University

December 31, 2024 - August 26, 2025

Facilitated mentorship sessions and career events for women in STEM, promoting diversity and inclusion. Collected and analyzed feedback data to enhance future event planning and student engagement strategies.