Research Assistant

Praveen Pandey

857-***-**** ** Hammond St, Apt #1, Boston, MA – 02120 ******.***@*****.***.*** https://www.linkedin.com/in/praveenpdy/

Enthusiastic engineering cum professional graduate candidate with freelance experience. Completed several client projects, including small consulting and research jobs. Currently shifting toward Artificial Intelligence domain and looking forward to pursue my career goals in the field of Computer Vision. Fluent in English and Hindi. EDUCATION

Master of Professional Studies in Enterprise Intelligence Sept 2019 – Dec 2020 Northeastern University, Boston, MA, GPA – 3.5/4

• Professional development completed in fundamentals and Applications of AI courses.

• Worked on devising project included topic such as Data Cleaning, Data Visualization, NLP, Text Extraction, etc.

• Continuing education in Data Management and Big data, AI System Technologies. Bachelor of Engineering, Computer Engineering Aug 2015-May 2018 Pillai College of Engineering, Navi Mumbai, India, CGPA – 6.9/10

• Effectuated with courses like Operating System, Big Data, Artificial Intelligence, Cloud Computing, Image Processing, Human-Machine Interaction, etc.

• Worked on devising many object-oriented based mini-projects such as website development, android app development, etc.

TECHNICAL SKILLS

Languages: Python, Java, C#, C/C++, XAML/XML

Operating Systems: Windows 10, Ubuntu, MacOS Catalina, Android, iOS Tools: Microsoft Office Suite, Amazon Web Services (AWS) EXPERIENCE

Research Assistant Dec 2019 – Present

Northeastern University, Boston, United States

• Planned, modified and executed research techniques, procedures and tests.

• Devised multiple UI forms for the WPF application using visual studio.

• Worked on the latest technology such as Microsoft Azure Kinect, Logitech G920 Steering Wheel. Android Developer Intern Dec 2016 – Feb 2017

Pocket App Pvt Ltd, Mumbai, India

• Supported team and development efforts to create new products and processes.

• Devised multiple UI screens for video player application.

• Worked with different frameworks and libraries such as Fragments, Intents, Mapbox, Google Map API, etc. ACADEMIC PROJECT

Big Data Analysis using Databricks Jan 2020 – Feb 2020

• Worked on cleaning and visualizing data for 3 million records.

• Used Random Forest to extract important features. Text Extraction and Classification from images using AWS Oct 2019 – Dec 2019

• Worked on different AWS Machine Learning tools like Sagemaker, Textract, S3.

• Worked on pre-trained CNNs like Resnet50 and Vgg. Autonomous Navigation System Aug 2017 – May 2018

• Assembled and configured drone using Pixhawk Flight Controller.

• Used SLAM for 3d mapping and localization.