Professional Experience

Skills

Deployment

Python

Chatbots

Automation

Data Analysis

Speech

Linux

Artificial Intelligence

Data Science

NLP

Computer Vision

Cloud Services

Forecasting

Data Annotation

My Work

Natural Language Processing

Portfolio

• Python Chatbot using NER and Intent Classification

• MRCP VOIP Chatbot Integration

• LLM Chatbot on LLama2

• Sentiment Analysis Model

• NER Model

• Credit Card Masking

• Intent Classification

• Customer and Agent Classification Using Text Classification

Computer Vision

• Image Augmentation

• Cards Detection Using YOLO

• Cards Labels Detection Using MRCNN Semantic Segmentation

• Classification of Cards Using CNN

• Blinking Detection Using CNN and Haar Cascades (OpenCV)

• Punch Hole Detection in Cards Using MRCNN

• Helmet Detection Using YOLO

Traditional Machine Learning

• Time Series Prediction for Revenue Forecast

• Ticket Price Prediction Using Linear Regression

• Ticket Sale Prediction Using Logistic Regression, SVM, Random Forest, and Neural Networks

• Target Setting Using Optimal Distribution

• Time Series Forecasting Using DataRobot

• Time Series Revenue Prediction

Speech

• Automatic Speech Recognition Model with Wav2vec2 Custom Training

• Text to Speech Synthesis Using ESPnet

• Whisper ASR for Transcription

• Automatic Speech Recognition Software

• Speech Synthesis Software

Annotation

• Image Annotation for Semantic Segmentation

• Image Annotation for Object Detection

• NER Annotation

• Text Annotation

Web Development

• Web Scraping Using Selenium

• Flask Web Application

• Flash Data Monitoring Dashboard

• Flask Internal Annotation Tool

• Server and Client Architecture Code

• Serving Deep Learning Models Using ZMQ

Software and Infrastructure

• Model Deployment on AWS, GCP, and Private Company Servers

• Linux Server Setup

• NVIDIA and CUDA Drivers Setup

About Me

I am a Data Scientist with over five years of experience in data science, machine learning, deep learning, computer vision, big data, and the Internet of Things.

I am skilled in using Python and SQL to clean, manipulate, and analyze large datasets, and I have a strong knowledge of various machine learning frameworks and tools, such as TensorFlow, PyTorch, Keras, and Scikit-learn

Some of my recent achievements include creating state-of-the-art models,optimizing end-to-end deep learning production pipelines, and innovating and integrating new features into existing company products. I have also contributed to several research papers and publications on machine-learning topics and applications.

I hold a Bachelor of Science degree in Software Engineering from the University of Management and Technology - UMT, I have obtained multiple certifications in data science, machine learning, and neural networks from reputable online platforms, such as Coursera and ICDL.

I am passionate about data science and machine learning, and I am always eager to learn new skills and technologies that can help me solve real-world problems and deliver value to organizations and customers.

I am also an effective communicator and a collaborative team player, who enjoys working with cross-functional teams and sharing ideas and insights. My goal is to continue growing as a data scientist and to leverage my expertise and experience to drive innovation and growth in the field of artificial intelligence

Wanna talk?

Contact me with any questions or just to say a few nice words ... or mean ones. Up to you .... free will and all