SHIKHA VERMA

Chicago, IL 331-***-**** ac8o4m@r.postjobfree.com linkedin.com/in/shikha-verma-5b3302149/ SUMMARY

• Graduate Computer Science student having experience in Data Engineering and Analytics, Machine Learning, Deep Learning, Software Development and Full Stack Web Development. Provided efficacious results in all these fields in timely manner

• Demonstrated proficiency in Python, R, JAVA, SQL, Big Data, Predictive Modeling, communication and leadership attributes

• Self-driven and hardworking curious professional with strong analytical and problem solving skills. Avid traveler EDUCATION

Illinois Institute of Technology, Chicago, IL

Master’s Degree, Computer Science 2017 – 2019

Coursework: Big Data Technologies, Machine Learning, Data Mining, Data Preparation and Analysis, Design and Analysis of Algorithms, Cloud Computing, Enterprise Web Applications, Computer Networks L.D College of Engineering, Ahmedabad, Gujarat, India Bachelor of Engineering, Electronics and Communication Engineering 2013 – 2017 WORK EXPERIENCE

Softvan, Gujarat, India Full Stack Web Developer Intern December 2016 - March 2017

• Developed highly interactive MVC architecture websites for educational, e-commerce services and many other purposes

• Created Insurance Portal Website to atomize insurance paperwork. Users can compare and buy policies from website

• Stack: HTML5, CSS3, JAVA, MVC Architecture, JavaScript, JSP, JSTL, MySQL, JDBC, J2EE, AJAX, Hibernate Framework ZTE, Gujarat, India Frequency Data Analyst Intern June - July 2016

• Worked with Radio Frequency Manager to stabilize frequency of mobile communication for Gujarat state by collecting, processing and analyzing the radio frequency data from previous years for improvising the company services

• Applied handover concept for assigning frequency to towers and augmented network connectivity across state by 40%. PROJECTS

Face Recognition Python October – November 2018

• Identified faces of particular person by developing Keras Deep-Learning Model for image classification using neural networks, CNN and Maxpooling from total of 13,233 photos of 64x64 gray-scale format pixel data

• Improved the accuracy (from 80% to 84%) and F1 of data by executing Transfer Learning where, where a model was created for Dogs Vs Cats complex dataset (Kaggle) and then the same was used (transferred) for the original pixel data IMDB Movie Data Analysis (Source: Kaggle) R Programming October – November 2018

• Led a 4-member team project to deliver predictive models to suggest potential genres of movies which would make more profit by studying relationship between IMDB score and profits using Utility Matrix.

• Developed models using KNN and regression (simple and linear) from which the model with 86.32 accuracy was taken to select top 20 movies, genres and actors that will make profits. Utilized ggplot and plotly to visualize in interactive charts Hadoop and Spark Memory Sorting JAVA April – May 2018

• Reduced time of large file transfer by implementing Shared Memory TeraSort by configuring Hadoop (HDFS) and Spark application to perform sorting files of 80GB on a cluster having 4 nodes

• Explored performance of implemented sorting by scaling data (weak and strong) and increasing core utilization from 1 to 4 Benchmarking in Cloud C, JAVA, SLURM February – March 2018

• Calculated speed of CPU in GigaOPS, measured throughput and latency of Memory and Disk for 100GB data and 10 GB data respectively on C language using pthread library with different concurrency levels (1, 2 and 4 threads). TECHNICAL SKILLS

Programming Languages : Python, R, JAVA, C, C++, MATLAB, Git, Linux Data Analytics and Visualization : MySQL, MS Office, Advanced Excel, Jupyter Notebook, Orange, R Studio, GitHub, Tableau Web Technologies : HTML5, CSS3, JAVA, JDBC, JavaScript, JSP, Servlets, J2EE, XML, AJAX Frameworks/Platforms : TensorFlow, Keras, Hadoop, Spark, AWS, MVC, Scikit-Learn, IOT, Hibernate LEADERSHIP AND CERTIFICATIONS

• Felicitated with Management and Design Execution by university for conducting state level Gujarat Central TechFest’15 efficiently, developing website for promotions and registration of state students and handling team of 200 volunteers

• Received acclamation in newspaper for developing IOT based project, Carbon Footprints, an innovative initiative to reduce carbon levels of the area