Data Analytics Machine Learning

JINAL PATEL

906-***-**** ******@***.*** www.linkedin.com/in/jinal-patel2030

Coursework: Machine Learning, Big Data Analytics, Artificial Intelligence, Info Systems and Data Analytics, Predictive Modeling, Advance Data Mining, Management of Tech, and Innovation. Languages- Python, C++, Java, R, SQL. Web Technologies - HTML, CSS, JavaScript (Angular)Ionic. Tools - IntelliJ, Visual Studio, PowerBI, Trello, Jira Databases - MySQL, DynamoDB, Oracle. Data Science - Data Visualization, Mining, Preprocessing. Microsoft - Word, PowerPoint, Excel sheets. Cloud Technologies - AWS Lambda, Amazon S3, RDS.

Machine Learning - Linear Regression, SVM, KNN, PCA, EDUCATION

Master’s in data science Michigan Technological University GPA: 3.65 Jan 2023 - Current Bachelors of Technology in Computer Science D.Y Patil College of Engg.& Tech. India GPA: 3.4 Jun 2018 - Aug 2022 PROFESSIONAL EXPERIENCE

Graduate Research Assistant Michigan Technological University Oct 2023 - Current

● Executed smooth Fortran to C++ code conversions with strong CFD comprehension.

● Utilized Visual Studio Code for efficient C++ programming.

● Demonstrated expertise in pointers, file handling, and arrays.

● Bridged Fortran to C++, showcasing CFD knowledge and coding proficiency. Software Developer Laurel Technologies Sep 2022 - Nov 2022

● Designed an Ionic restaurant app in VS Code, covering menu card, orders, and integrated the database with MySQL Workbench. 800-850 people have used this app so far.

● Received positive user feedback for app's simplicity and seamless ordering.

● Revitalized restaurant sales gradually by 40%.

Software Developer Microsoft Azure Verzeo Oct 2021 - Dec 2021

● Adapted the concepts of HTML5, CSS, Bootstrap, and JavaScript for developing a web application.

● Developed a web application that enables user to create, prioritize, filter tasks resulting in 70% user retention. PROJECTS

Data Analytics Agile Health Tracker Aug 2023 - Dec 2023

● Collaborated on Health Tracker app, emphasizing information systems and data analytics.

● Applied agile methodologies, used Trello for efficient project management.

● Contributed to implementing dynamic calorie tracking, with Excel documentation skills and designed an app with HTML, CSS, PHP programming languages.

● The app was subsequently integrated with the parent application, resulting in a notable 60% user retention rate. Data Visualization Transcriptomic Precision: Advancing Autism Risk Prediction Aug 2023 – Dec 2023

● Implemented rigorous data pre-processing Box-Cox, spatial sign using python libraries such as sklearn, scipy.

● Executed a strategic data spending approach for robust risk prediction.

● Contributed to running a variety of models using Python libraries like scikit-learn, including penalized models, logistic regression, LDA, KNN, and SVM and also in visualising these models with PowerBI.

● Achieved accurate autism risk prediction through modeling. Data Visualization COVID-19 Gene Discovery Project Jan 2023 - Apr 2023

● Applied bioinformatics and unsupervised data mining for COVID-19 investigations.

● Assisted clustering methods including K-means, Spectral, and Hierarchical clustering, alongside evaluation metrics such as Calinski-Harabasz Score, leveraging Python libraries like scikit-learn and SciPy.

● Assisted in running PCA for data reduction and KEGG Pathway analysis to identify the biological pathways of genes.

● Contributed to advancing COVID-19 investigations, identifying potential genes for proactive measures. Machine Learning Facial Expression & Student Attentiveness Analyzer Jun 2021 - Aug 2022

● Implemented frame extraction using OpenCV, conducted image processing and executed facial landmarking.

● Contributed to calculating EAR, MOR, and NLR. Compared threshold values post-movement to obtain results.

● The implementation of these processes resulted in increased student attentiveness and improved grades.

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