ARCHIT VERMA

admp80@r.postjobfree.com 513-***-**** https://www.linkedin.com/in/archit-verma-8a16b2129/ EDUCATION

Master of Engineering in Computer Science (University of Cincinnati, Ohio) May 2021 Coursework: Machine Learning, Deep Learning, Artificial Intelligence, Security and Vulnerabilities, Computer Networks. GPA: 3.60/4.0 Bachelor of Engineering in Computer Science (SRM Institute of Science and Technology, Ghaziabad) May 2018 Coursework: Operating Systems, Advanced Algorithms, Software Testing, Data Structures, Database Concepts. GPA: 3.51/4.0 TECHNICAL SKILLS

Machine Learning Models : Regression, KNN, SVM, Boosting, Markov Models, Random Forest, CNN, RNN, k-means Analytical packages : NumPy, Pandas, NLTK, Scikit-learn, Scipy, TensorFlow, Keras, Spark RDD, MLlib Languages : Python, R, C++,Java

Databases and Warehouses : MySQL, Teradata, PostgreSQL, OpenSQL, MongoDB, Hive, Google BigQuery Big Data and Cloud technologies : Apache Spark, Amazon Web Services (EC2, S3), Google Cloud platform. Visualization and analytics tools : Google Data Studio, Tableau, Zeppelin, Plotly, Seaborn, matplotlib. Other Tools : GitHub, Docker

Web Design and Frameworks : HTML, CSS, XML

WORK EXPERIENCE

University of Cincinnati, Cincinnati, OH – Teaching Associate (Principles of Computer Networking) Sept 2019 to Dec 2019

• Taught concepts of Computer Networks to undergraduates, help design assignments and coursework, and grade assignments.

LG, Greater Noida, India – Software Engineer (1) Jan 2018 to June 2019

• Worked as a Software Engineer at LG Corporation for almost 2 years. I worked with the senior developers in developing applications and debugging the code for the best customer experience.

• Developed Python Scripts using IDEA with MySQL database to automate repetitive tasks performed by people in support project, one of these scripts saved around 300-man-hours yearly which corresponds to USD 9000 annually.

• I also created a Google Visualization Dashboard using Google Data Studio and used Python Script deployed on the Google Computer Engine to build an ETL solution to transport traditional Excel data to Google Big-Query Data Warehouse. LG, Greater Noida, India – Software Engineer Co-op: May 2017 to Dec 2017 1. Created a detailed data model of the relational database. 2. Built API’s using Python Flask for fetching data from a website hosted on AWS EC2 and storing it in the AWS Database. SELECTED ACADEMIC PROJECTS

Maze Solving Robot Artificial Intelligence, Python and Data Structures. Mar 2017 to May 2017

• A Maze Solving Robot was formulated using the concepts of Artificial Intelligence.

• Made an autonomous maze solving robot called as the Micromouse.

• Utilized the decision making and the flood-fill algorithms to program the Micromouse.

• Performed Testing for about 45 hours and finally achieved the result. Movie Review Prediction Python, numpy, pandas, Matplotlib, Scikit-Learn June 2016 to July 2016

• Predicted movie reviews using Random Forest, Light Gradient Boosting Machinery, and Support Vector Machines for sentiment analysis based on text, emoticons, and emoji ideogram from Twitter data using python and observed that SVM gave the best performance with weighted F1 score of 0.85. Automatic Parcel Receiving System: Feb 2016 to Feb 2016

• The idea of the project was to develop a system that can receive parcels from the delivery boy even if the customer Is not at home. Built the system as the part of the competition in about 24 hours. This project involved development of an android application, embedded system programming and circuit design.