Machine Learning

Supervised & unsupervised learning, CNN, classification, regression models, Natural language processing, Customized Chatbots, Time series analysis, Stock prediction, and other forecasting models, Parameter Tuning

Deep Learning, Automation

TinyML, Tensorflow Lite Micro, Computer Vision, Deep Learning, Ai on edge (AIoT)

Computer Vision

Image Processing, Image Recognition, Face Recognition, OCR, ALPR, Image Segmentation, Object Detection, Image Tagging

Data Engineering

Data integration from multiple sources, enrichment & feature creation

Data Visualization

Creating interactive & insightful dashboards in all popular tools

• Automated collection of data from different sources.

• Preprocessing using statistical methods

• Visualization in different means

• Model training

• Prediction

• Cloud Hosting and Pipelining

Programming Languages

Python | R | Julia | SQL | C++ | LaTeX

Operating Systems

Gnu/Linux based (Ubuntu | Debian | Arch Linux | Raspbian | JetPack | ESP | RTOS, ROS) | Windows

Tools and Frameworks

Tensorflow | Keras | PyTorch | BERT | CUDA | YoloCUDA | Pandas | Pytesseract | OpenCV | Numpy | Scipy | Seaborn | PySpark | Matplotlib | Plotly | StatModels | Scikit-learn | Flask | BeautifulSoup | Selenium | Django | Flask| Postgresql | MySQL | AWS | Sqlite

R Packages

TSstudio | h2o | Forecast | Lubridate | dplyr | Ggplot2 | Plotly | xts | zoo