Python Data

HARDIK TUSHARBHAI PATEL

862-***-**** *** Congress Street, JERSEY CITY, NEW JERSEY-07307 *******@*******.*** EDUCATION

Masters of Science in Computer Science Expected May 2021 Stevens Institute of Technology, Hoboken, NJ GPA: 3.75/4.0 Received $20,000 scholarship(2019) for academic performance in Bachelor’s Coursework: Machine Learning, Algorithm, Special Topics in Software Engineering(Python), Agile Development, Web Programming, DBMS, Cyber Security, NLP, Knowledge Discovery & Data Mining, Python for Financial Application, Introduction to Bloomberg

Bachelor of Engineering – Computer Engineering July 2015 – June 2019 Gujarat Technological University, India CGPA: 8.96/10 Coursework: Artificial intelligence, Python Programming, Web Programming, DBMS, Data Structure SKILLS

Programming Languages: Python, SQL, C#, ASP.NET, R Programming, HTML, CSS, NODE JS, JAVA, C, C++ Software: PyCharm, PostgreSQL, Visual Studio code, DataGrip, MongoDB, Flask, Visual Studio, Eclipse, SQL-SSMS Strengths: Flexibility and adaptability, Eager to learn, Time Management, Leadership qualities, Decision Making, Strong communications skills, Analytical Thinking.

WORK EXPERIENCE

Development Engineer, NorthPole IT Corp. Jan 2021 – Present

• Developed mobile application in Android studio using Java and XML that detect different hardware devices and will display videos accordingly

• Developing Web API with C# and .NET to access and update SQL data

• Working with Xamarin forms in order to devise Mobile Application in both Android and IOS ACADEMIC PROJECTS

Employee Attrition Data Classification Jan 2020 – May 2020

• Developed classification models on employee attrition data to predict potential of employees leaving company

• Executed EDA and feature selection algorithms to decide important features from data set and imputed missing values using suitable techniques

• Designed different nonlinear classification models viz. KNN, Decision tree, Naïve Bayes, ANN, and Random forest for classification of employees into Terminated or Attending. Compared accuracy of different classification models and found Random Forest gives highest accuracy of 70.02%

Student Repository Jan 2020 – May 2020

• Built a website to record student registrations using python, flask and jinja

• Created details of student and instructor along with student grades using pretty-table and executed SQLite query to generate required insights through DataGrip and perform unit testing Agile User Stories Project Jan 2020 – May 2020

• Built family based user stories in dedicated sprints through pair programming with python and performed unit testing

• Generated a Gedcom file to fulfill requirements of each user stories

• Implemented all stories by performing different agile methodology such as pair programming and scrum Expense Tracking Website Aug 2019 – Dec 2019

• Led team of four in developing a website to track and analyze user monthly expense to simplify expense management using node-js and mongoDB

• Created a dashboard to keep track of all activities and implemented functionalities viz. recurring and splitting expense among users

• Designed cumulative monthly graphs to better analyze client's monthly expenses Multifunctional HUD with Drowsy Detection and Fog Elimination Mechanism (Publication)

• Constructed a module detecting whether eye is open or close via a camera placed on steering wheel utilizing python

• Proposed a concept, improving driving experience in foggy conditions by capturing an image and giving a brighter and better image on a screen

CERTIFICATION

• “Machine Learning” from Stanford University (Coursera)

• “Python Data Structure” from University of Michigan (Coursera)

• “Using Python to Access Web Data” from University of Michigan (Coursera)

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