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Hire the best NLP Engineers in Charlotte, NC

Check out NLP Engineers in Charlotte, NC with the skills you need for your next job.

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$300 hourly
Nader N.
- 0.0/5
- (0 jobs)
Application of Data Science and Machine Learning Algorithms ranging from: Natural Language Processing, Sentiment Analysis, Natural Language Generation, Time Series (LSTM) Analysis Convolutional neural networks (CNN) for image recognition Real time video analysis for object detection Using Python programming language and experience in using Mysql/PostgreSQL. Machine/Computer Vision Outlier/Anomaly/Fraud Detection Clustering of data, Organizational Network Analysis (ONA) Supervised/Unsupervised Learning Algorithms Deep Learning Hybrid Models. Web Scraping using various tools to extract relevant information. Simulation / Optimization Amazon Web Services Google Cloud LightGBM CatBoost Exploratory Data Analysis Experience with Unstructured Data Modeling Business Intelligence Survival Analysis / Event Time Analysis / Reliability Analysis / Duration Analysis Customer Life Time Value (CLV) Data Engineering and Data Science

NLP
Data Visualization
Predictive Analytics
Sentiment Analysis
Fraud Detection
Time Series Analysis
Machine Learning
Deep Learning
Natural Language Processing
$30 hourly
Onkar P.
- 4.5/5
- (48 jobs)
I'm a certified Python professional and certified DeepLearning(.)ai Tensorflow Developer. I've completed my Masters in Computer Science. . 1. My skills include: - Data Science and Data Analysis - Machine Learning (KNN, Random Forest, XG Boost, Linear and Logistic Regression, K-means Clustering) - Deep Learning(CNN, ANN, RNN, LSTM) - Model Tuning and Optimisation (GridSearchCV) - Natural Language Processing NLP (Sentiment Analysis, Chatbot Development, Text classification) - Transfer Learning (Xception, Inception, ResNet, VGG16, InceptionResnt, MobileNet) - Object Detection (R-CNN, SSD, YOLO, Faster R-CNN) - Image Segmentation (Mask R-CNN) - Interactive Visualizations and Animations (Matplotlib, Seaborn) - Database Management(MySQL, Sqlite) - Audio Processing(pydub, pyaudio) - Image processing(PIL,Opencv, FFMPEG) - Graphical User Interface GUI (Tkinter, PyQT) - Optical Character RecognitionOCR (Tesseract) - Desktop Application Development and Automation (Pyautogui, PyInstaller) 2. Libraries: - Pandas, Numpy, Scipy, Tkinter, Matplotlib, PyautoGUI, OpenCV, PIL, Sklearn, SQL, Regex, Tesseract 3. Deep Learning Frameworks: - Keras, Tensorflow, PyTorch, Scikit-learn

NLP
Video Processing
GUI Design
Desktop Application
Artificial Intelligence
Data Science
Machine Learning
pandas
OpenCV
Deep Learning
TensorFlow
Keras
Natural Language Processing
Neural Network
Python
Computer Vision
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Last updated: May 19, 2025

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