CHARU KOCHHAR

+1-312-***-**** ac8s21@r.postjobfree.com https://www.linkedin.com/in/charu-kochhar/ https://github.com/ckochh2/ Chicago, Illinois Ambitious Software Engineer with 4 years of professional experience, seeking a position to apply my technical skills in solving complex software problems.

TECHNICAL SKILLS:

Programming Languages Java, Python, C#, HTML/CSS, JavaScript, Bootstrap, MYSQL, XML/JSON Frameworks ASP.NET, Angular JS, Node JS, D3

Applications PyCharm, Git, Visual Studio, SSMS, Tableau, Selenium, NetBeans, HP ALM, Jira, Junit Operating System Windows, macOS, Unix/Linux

EDUCATION:

University of Illinois at Chicago, IL, Master of Science in Computer Science (GPA – 3.3/4.0) Grad Date: May 2019 Coursework: Machine Learning, Data Science, Information Retrieval, Cloud Computing, Cognitive Science, Computer Algorithms, HCI, Distributed Computing, Software Development of Mobile Apps SRMS Women’s College of Engineering & Technology, India, B.Tech in Computer Science June 2012 WORK EXPERIENCE:

Amrocky Academy, Bangalore, India (Data Science Intern) June 2018 – Aug 2018

• Conducted feasibility study to build a tool which can predict and measure the effectiveness of online ads placement.

• Developed modules to extract Ads Insight data using APIs of different platforms like Facebook, Twitter, Google AdWords in Python. Build models on MS Azure using sample data. Infogain, Bangalore, India (Software Engineer) May 2016 – July 2017

• Developed Automation Test suites for HP E-commerce website using Selenium with Java following agile methodology.

• Directed a team of 6 for a major release in HP Inc. and successfully completed the project deliverables.

• Involved in Full Test life cycle - Gathering business Requirements and functional specification, Feasibility Study, requirement analysis and effort estimation for Change Request, design and development of test plans, test case execution, integration testing, defect management using JIRA & Test Rail, documentation review and automation. CGI, Bangalore, India (Software Engineer) June 2012 – Sept 2015

• Delegated as Onsite – Offshore Test Lead in CGI Germany for carrying out business meetings, collaborating with Business Analyst, Requirement Engineers, Developers and UAT Team for enhancement of software product quality. ACADEMIC PROJECTS:

Face Recognition with Deep Learning [Python,Keras,Neural Networks,PIL and DLIB libraries ] : Feb 2019

• Implemented a machine learning model to recognize a face that can detect faces in images, identify the faces, locate facial features and finally find lookalikes using face detection. Text Mining-Query based Information Retrieval System [Python,Beautiful Soup,NLTK,Page Ranking algorithm] : Feb 2019

• Implemented information retrieval concepts to retrieve relevant documents based on search query given by the user from the set of documents(Cranfield corpus).

• Performed preprocessing, indexing and page ranking algorithms. Kaggle : Demographic Election Data [Statistics, Python-Libraries Scikit, Pandas, Supervised/Unsupervised techniques] : Oct 2018

• Applying data science concepts and statistics to predict no. of votes for Democratic/Republican party.

• Performed data collection, data preparation, exploratory data analysis, data modelling and visualization of US map. Yugal Kunj website [ASP.NET MVC Framework, C#, SSMS, MS Azure] : Aug 2018 – Sept 2018

• Developing Admin Screens in ASP.NET using MVC Entity Framework and hosted the website on Azure.

• Prepared Database tables/triggers in SQL Server Express and hosted the database on Azure.

• Tested the website registration page, payment page and home page. Machine Learning Project [Python-Libraries Scikit, Pandas, Basic ML Algorithms]: March 2018

• Developed a model for a training set & predicted response for: “How many people are willing to pay more for healthy food”.

• Performed data preprocessing, feature extraction & selection. Implemented classifiers using several ML techniques: Decision trees, Support Vector Machine and Regression, whose results are then compared to find the most ideal procedure.

• Visualized the data set features and illustrated relationship between them. Intelligent Meeting Assistant

[AngularJS, Bootstrap, AWS, NodeJS and IBM Watson APIs, Mongo DB and REST API, JSON,HTML/CSS]: Sept 2017-Nov 2017

• Developed dashboard that enabled context-based search using speech-recognition. Dashboard is used for quick and effective searches in corporate meetings.

ACHIEVEMENTS & ACTIVITIES:

• Wall of Fame by Infogain, Pat on the Back & Corona award by CGI for successful releases. CITI and ISTQB Certified.

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