AI Developer at CENTAIC@PAF | Data Scientist | Machine Learning | Deep Learning | Statistics | Data Analytics | Python | JavaScript | Apache Hadoop | Kafka | NoSQL
We have an exceptional team of AI Developers, AI Research Executives, Machine Learning Engineers, NLP and LLM Experts, Data Scientists, Data Engineers, and Software Developers.
π Areas of Expertise
As Data Scientists :
Exploratory data analysis (EDA):
An inspection of data that describes, summarizes and visualizes general patterns using histograms, scatter plots, and statistical summaries.
Statistical Analysis: Running statistical tests to draw inferences and quantify relationships.
Feature Engineering: Improve model performance through the creative creation and transformation of features.
Data Preprocessing: Clean the data and make it ready for processing, analysis, and modeling.
Time Series Forecasting: Predication of future time series data using methods like ARIMA and Prophet.
As Deep Learning Engineers
CNN Architectures for image classification: AlexNet, GoogleNet, ResNet, EfficientNet, Dense.
Object Detection and Segmentation: Having strong proficiency with F-RCNN, YOLO, Mask RCNN.
Generative Adversarial Networks (GANs): Improving data generation.
3D Object Detection: Implementing the Stereo Vision Cam for the detection and measuring of distance.
Image processing: The advanced techniques of image enhancement and edge detection.
As machine learning engineers
Clustering and Dimensionality Reduction: KNN, K-Mean, DBSCAN.
Data cleaning and feature selection, dealing with missing values, and selecting optimal features.
Predictive modeling: From linear to logistic regression, decision trees, random forests, naΓ―ve Bayes, and SVM.
Visualization Tools: Proficient in Matplotlib and Seaborn for data visualization.
As NLP and LLM Engineers
Chatbot development: Use advanced models like Llama2/3.
Document Parsing with LAYOUTLMV2/3 and LILT for accurate data extraction. Sentiment Analysis and Content Analysis: Using RNNs, GRUs, LSTMs, Bert.
π Libraries and Frameworks
Use Numpy, pandas, scikit-learn, matplotlib, seaborn, TensorFlow, Keras, PyTorch, statsmodels, NLTK, OpenCV, Detectron2, Open. π οΈ Tools: Experienced in Jupyter Notebooks, Google Colab, Docker, Amazon SageMaker, AWS, Git, and GitHub. π» Programming Languages : Expertise in Python and JavaScript.
Founded: 2022
Work Terms
24 hours available
Complete support for you every time
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