Kunal Shah

Passaic, NJ ***** • 973-***-****

ac8khl@r.postjobfree.com •www.linkedin.com/in/kunal-shah-2385b755/ •https://github.com/kshah2589

Qualifications Profile

Recent graduate with a Master of Science degree in Electrical Engineering in addition to education in information technology, seeking to transition to pursue a career in Data Science with an ability to transforming business requirements into actionable data models.

First-hand experience in performing data analysis and developing a predictive model using Python libraries like Pandas and Numpy for data manipulation, Seaborn and Matplotlib for data visualization, and Scikit-Learn for Machine Learning.

Experienced, communicative, and personable, willing to delve deeper, continue learning and expand my knowledge base thereby innovating methods to enhance data driven decision making.

Core Technologies: Python, R, MySQL, Windows XP/7/8/8.1/10, Linux(Ubuntu), Mac OSX, Microsoft Word, Microsoft Excel, Microsoft PowerPoint

Education and Credentials

Master of Science, Electrical Engineering (12/2018) GPA: 3.86

Stevens Institute of Technology, Hoboken, NJ

Related Coursework: Data Acquisition/Proc, Applied Machine Learning, Big Data Technologies, Probability & Stochastic Proc

Bachelor of Engineering, Electronics & Communications Engineering (2010) GPA: 3.63

Sardar Patel University, India

Academic Projects:

Loan Prediction, Stevens Institute of Technology, Fall, 2018

oDeveloped a Predictive model for classification of loan eligible applicants.

oUsing python performed exploratory data analysis to get more insight into the relationship between different variables, performed data cleaning, and feature engineering to reduce the dimension of the data.

oFurther applied machine learning algorithms like Logistic Regression, Artificial Neural Networks, Random Forest and Decision Tree on preprocessed data in addition to fine-tuning the model's hyperparameters using grid search algorithm and compared the accuracies of the applied machine learning models.

Lung Cancer Detection, Stevens Institute of Technology, Spring, 2018

implemented the use of Python, TenserFlow, and Deep Convolutional Neural Network in developing the predictive model if a patient has cancer or not.

Experience Highlights

Test Technician, 2014 – Present Kulite Semiconductor Products, Inc., Leonia, NJ

Sales Support Engineer, 2012 – 2014 Transit Electronics Pvt., Ltd., Surat, India

Project Engineer, 2010 – 2012 Transit Electronics Pvt., Ltd., Surat, India

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