Intel Graduate Intern Resume Example

AI / ML | Data Mining | Internet of Things | Cryptography & Network Security | Distributed Systems| Database Management Systems | Algorithms & Paradigm | Advanced Data Communication Systems | Computer Architecture | Embedded Systems | Data & File Structure

Machine Learning / Artificial Intelligence: Pandas, Numpy, Matplotlib, Keras, Sklearn, TensorFlow, OpenCV, Natural Language Processing, Supervised Learning, Unsupervised Learning, Federated Learning, Deep Learning, Reinforcement Learning, Neural Networks

Data Mining: Data Pre-processing, Data Visualization,

Market-Basket algorithm

Mathematics: Statistics, Bayesian Inference Network

Programming language: Python, C, C++, Java, Unix/Linux Shell Scripting

Database: Mysql, Mysqlite

OS: Windows, Mac, Linux, Unix, Raspbian

Web & Others: HTML, CSS, JavaScript, Wireless networks, GitLab, Intel SSD tools, Fault-tolerance test coding

• Rewarded for the 'ECS Research Assistant-ship Program' in the field of ML and Wireless data communication by the chair of the ECS at CSUS for assisting the professor with the creative research
• Rewarded 'Recognition Certificate' for presenting research work at 'Student Research & Creative Activity Fall Forum 2019' organized by ECS at CSUS for research project 'Performance Optimization in Physical Layer using Deep Learning'

1. ECS Career Fair Volunteer CSUS, USA
2. Tech Fest Volunteer KSV, India

SSD Validation Automation Scripts Present

• Learned the automation of SSD Validation required by the customer, contributed to a client oriented team

Wireless Modulation Classification with GAN Present

• Classifying the different wireless modulation distribution with data augmentation by GAN

Performance Optimization in Physical Layer (DL) 08/2019

• The optimization of deep model's performance in predicting the transmitted bits based on received bits using OFDM and QAM

Image Forgery Detection (Computer Vision) 05/2019

• Used Image Data generators, OpenCV libraries for handling image data which aimed to binary classification of the real/fake images

Stock Price Prediction Using LSTM & CNN 04/2019

• Performance comparison of deep models used time series data

Network Intrusion Detection 03/2019

• Observed the impact of the feature extraction aimed to detect the network intrusion based on network connection data

Yelp Business Rating Prediction 02/2019

• Dealt with NLP to handle text mining as classification and regression problems to predict the star ratings based on the review

Clustering : US Election Tweets 03/2019

• Observed most trending tweets' hashtags and tweeter users using unsupervised learning

Data Acquisition of Raspberry pi + Steganography

• Performed data acquisition using various forensic software and steganography using the python script

Fire Detection Sensor with Arduino (IoT)

• Using the Fire Detector Module with Arduino to detect the fire flame. Visualize the sensor readings using python and Matplotlib library