Hello, I'm
Computer Science | Exploring in Data Scientist, AI Engineer, Data Analyst
Turning Data Into Decisions, and Code it Into Inovation
Hi! I’m M. Iqbal Purba, a Data Scientist and AI Engineer passionate about solving complex problems through data-driven insights and innovative AI solutions. With a strong background in analytics, machine learning, and programming, I specialize in transforming raw data into valuable insights that drive impactful results. My expertise lies in leveraging advanced techniques to build intelligent systems that uncover patterns, optimize processes, and create predictive models that support smarter decision-making. I am dedicated to using data and AI to revolutionize industries by helping organizations make data-backed decisions that drive growth and efficiency. Continuously exploring the latest developments in AI, I aim to develop solutions that not only deliver technical accuracy but also align with business goals. Through my work, I strive to create transformative results that positively impact industries and contribute to a smarter, more efficient world.
I firmly believe that collaboration is key to creating innovative solutions that address complex challenges in the world of technology and data. With my background in data science and AI, I am eager to partner with you in building solutions that can positively impact various industries. If you're interested in collaborating on projects that leverage data and AI technologies to achieve more efficient and intelligent outcomes, I look forward to the opportunity to discuss further and explore the potential for working together.
Programming: Python (Scikit-learn, FastAPI, Numpy, Pandas, Matplotlib), SQL
ML/DL: Supervised Learning, Unsupervised Learning, TensorFlow, Large Language Model (LLM)
Visualization: Looker Studio, Matplotlib, Seaborn, PowerBI
Development Tools: Google Collaboratory, PyCharm, Visual Studio Code, Git, Jupyter
Healthy Chatbot
The health chatbot uses RAG (Retrieval-Augmented Generation) and topic classification to address queries on menstruation, allergies, and medications. It identifies the topic, retrieves relevant data, and generates accurate, contextual responses efficiently
BrainDiverseX
BrainDiverseX is a website that leverages Deep Learning algorithms to classify brain tumor types based on user-provided images. The system utilizes a Convolutional Neural Network (CNN) algorithm, achieving an accuracy of 96%.
SpamShield
SpamShieldX is a system that leverages Machine Learning algorithms to classify SMS messages as spam or not. The system utilizes a fine-tuned model for text classification, achieving high accuracy in detecting spam messages.
HatespeechDetector
HateSpeechDetector is a system that leverages Machine Learning algorithms to perform multilabel classification of hate speech. The system utilizes a fine-tuned language model to identify and categorize hate speech across multiple labels with high accuracy.
PlateSense
PlateSense is a real-time system for detecting and reading license plates using YOLOv8 and EasyOCR. It offers high accuracy and efficiency for applications like traffic monitoring and parking management. This AI-powered solution enables seamless and automated license plate recognition.
Transformer: A Revol...
The limitations of traditional model architectures, such as Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM), led to the development of the Transformer architecture.
Let’s make something new, different and more meaningful or make thing more visual or conceptual
