Social Media Python

Nikhil Pareek

Dallas, TX, ***** LinkedIn: https://www.linkedin.com/in/pareeknikhil/

Email: **************@*****.*** Mobile: 469-***-**** EDUCATION

The University of Texas at Dallas, Richardson, Texas Dec 2020 Master of Science in Computer Science - Intelligent Systems 3.6/4 Relevant Coursework: Implementation of Algorithms, Database Design, Machine Learning, Natural Language Processing, Big-Data M.S.Ramaiah Institute of Technology, Bengaluru, Karnataka, India July 2014 Bachelor of Engineering in Mechanical Engineering 8.4/10 Relevant Coursework: Data Structures, Operational Research and Optimization, Advanced Calculus PROFESSIONAL EXPERIENCE

Machine Learning Intern, Texas Biomedical Device Centre, Dallas, Texas May 2019 - May 2020

Human Activity Recognition using Recurrent Neural Network (RNN): Designed a method to capture limbic activity data amongst stroke patients in rehabilitation with the help of sensory inputs using Inertial Measurement Units (IMU’s) in order to classify “natural” vs “impaired” movements (project presentation)

Built a pipeline for data Storage (JSON serialization), data-preprocessing (Z-peak signal extraction), feature extraction (Fast Fourier Transform) and modelling (Long Short-term Memory model) in Python with 86% accuracy

Technologies used – Python, C#, MongoDB, TensorFlow, Pandas, Numpy, Scikit-Learn Data Ratings Intelligence,Senior Business Analyst, Bangalore, India Oct 2015 - Dec 2017

Automobile-Insurance Recommendation System: Spearheaded as a lead,the development of an online robo-advisory service and acted as a liaison with the investors

Conceptualized and developed a recommendation system that allowed users to retrieve personalized auto - insurance quotes with the help of a Content-Based filtering algorithm

Technologies used - Python, Microsoft SQL Server, Tesseract OCR, Remote Procedure Call, HTML/CSS, Tableau Junior Research Fellow,Indian Institute of Science, Bangalore, India Mar 2015 - Oct 2015

Image Processing: Used Cross-correlation algorithm as image processing technique to model bio-mechanical behaviour in cellular studies

(published - Royal Society of Chemistry)

Particle image velocimetry: Created flow-visualization using live object recognition and tracking in MATLAB with clustering algorithms SKILL SET

Programming Languages: Python, C#, MySQL, MongoDB, Scala, TensorFlow, Keras, Pandas, Scikit-Learn, OpenCV, Tesseract OCR, HTML, CSS, MATLAB, JSON, Image Processing, Sequential Models, Deep Learning, Natural Language Processing, Big Data PROJECTS

N-Gram Language Models for text processing(NLP - Python)

Built and trained a trigram model on corpus from Shakespeare and Tolstoy literature for text generation and further remodeled the design for authorship identification using Beam search

Programmed and trained a sentiment classifier on WordNet corpus (NLTK corpora) using Gaussian Naive-Bayes model and Logistic Regression model

Social Media Data Analysis for Accident Reports (Big Data - Python)

Designed and implemented an Apache Spark based application which monitors and analyzes the real time Social Media Data (Twitter, Instagram, Facebook).

Technologies used – Ubuntu/Linux, Apache Spark, Apache Kafka, MapReduce, Elasticsearch, MongoDB, Flask (for UI), Kibana. Computer Vision using Deep Learning(OpenCV-Python)

Remodeled the LeNet-4 neural network architecture for image classification of handwritten digits (MNIST dataset) with reduced image configuration using deep learning library TensorFlow and achieved 90% accuracy

Worked on perspective projection and object detection techniques using common transformation algorithms Benchmarking REST VS gRPC service(C# ASP .NET Core)

Evaluated the communication throughput between REST and gRPC service calls on ASP .NET Framework 3.0 using C# with static data models (JSON objects & Protocol buffers)

ACCOMPLISHMENTS

Junior Research Fellowship - Department of Science & Technology, Govt. of India, 2015

Third place - HackAI (Team-FirstGuard)& HacksForHumanity (Team-Care)Hackathon at UTDallas, 2018

Speaker, Artificial Intelligence Conference - AnnualAI conference at UTDallas, 2019

Machine Learning Instructor - NIT Warangal, Satyabhama Institute of Technology, Real World AI, 2018-2020

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