Jasmin Patel

I am a highly skilled and adaptable individual with a strong passion for data analysis and machine learning. With proficiency in Python and SQL programming, along with a deep understanding of various machine learning libraries and frameworks such as Scikit-learn, Keras, TensorFlow, Matplotlib, Pandas, and NumPy, I am capable of tackling complex real-world problems.

Throughout my academic journey, I have developed a solid foundation in data cleaning, preprocessing, and exploratory data analysis (EDA). I am adept at utilizing statistical modeling techniques to extract meaningful insights and provide data-driven solutions. Being a team player with a creative mindset, I am comfortable collaborating with others or working independently to achieve project goals.

In terms of communication skills, I possess excellent verbal and written abilities, allowing me to effectively convey complex concepts and present my findings in a clear and concise manner.

Currently pursuing a Master of Science degree in Computer Science with a specialization in Artificial Intelligence, I am actively engaged in honing my skills and staying updated with the latest advancements in the field. As a Graduate Teaching Assistant at the University of Windsor, I have mentored and guided numerous students in the areas of Data Structure and Algorithms, utilizing languages like C, C++, and Java.

Overall, I am a dedicated and motivated individual with a strong foundation in data analysis and machine learning. With my technical skills, practical experience, and ability to effectively communicate complex concepts, I am confident in my ability to contribute to impactful projects and solve real-world problems in the field of data science.

During my previous role as a Data Scientist Intern at Kintu Design, I contributed to optimizing SQL queries, created interactive dashboards in Tableau, performed ETL operations on structured and unstructured data, and developed and deployed machine learning models on cloud platforms like GCP and AWS. Additionally, I evaluated business model performance using various key performance indicators (KPIs) such as MAE, MSE, R2, and accuracy.

Some notable projects I have worked on include RNA-Seq Gene expression Classification, where I employed dimensionality reduction techniques and upsampling to achieve 98% accuracy, and CapGen: Caption Generator, where I built an LSTM-based deep learning model using a dataset of over 8,000 images. I also analyzed a large crop dataset with over 300,000 observations and developed a crop yield prediction website called Kisan Sathi to assist farmers in Gujarat.

In addition to my academic and professional experiences, I have worked on various projects such as image classification on CIFAR-10, MNIST, and Fashion MNIST datasets, a chatbot for diet analysis, traffic sign recognition, home price prediction, travel insurance prediction, and flight price prediction.

Currently pursuing a Master of Science degree in Computer Science with a specialization in Artificial Intelligence. I'm planning to defend my thesis on Recommendation system before end of this year(2023)