• 🔭 I’m currently working as a data scientist.

• 🌱 I’ve currently completed PGP in Data Science and Machine Learning by MITx & Intellipaat.

• 👯 I’m looking to collaborate on Data Science projects like Image Classification, text classification and usage of popular machine learning algorithms.

• 🤔 I’m looking for projects with advanced topics of Data Science, like time series, computer vision, NLP for knowing more in this.

• 📫 How to reach me: https://www.kaggle.com/msandipan98

• Python 🐍: I'm highly proficient in Python, the powerhouse of the data science world. From data manipulation and preprocessing to building robust machine learning models, I leverage Python's extensive libraries and frameworks like NumPy, Pandas, and Scikit-learn to tackle data challenges efficiently.

• Machine Learning 🤖: I have a strong foundation in machine learning, encompassing various algorithms such as regression, classification, clustering, and ensemble methods. By leveraging techniques like feature engineering and model evaluation, I develop accurate and scalable machine learning models.

• Deep Learning 🧠: I specialize in deep learning, using frameworks such as TensorFlow and PyTorch to build and train neural networks for tasks like image recognition, natural language processing, and sequence generation. I'm passionate about leveraging the power of deep learning to unlock new insights from complex data.

• Natural Language Processing (NLP) 🗣️: I possess expertise in NLP, enabling me to work with unstructured text data effectively. Whether it's sentiment analysis, text classification, named entity recognition, or language generation, I apply cutting-edge NLP techniques to derive valuable insights from textual sources.

• SQL and Database Management 📊: I have hands-on experience working with SQL databases, enabling me to efficiently store, query, and analyze structured data. I'm proficient in writing complex SQL queries and optimizing database performance to extract meaningful information.

• Power BI 📈: I have mastered Power BI, a powerful business intelligence tool, to create visually appealing and interactive dashboards and reports. By transforming raw data into compelling visualizations, I can make data-driven decisions and gain actionable insights.

• Docker 🐳: I have knowledge of containerization using Docker, allowing for seamless deployment and scalability of data science applications across different environments. By containerizing models and applications, I ensure consistency, reproducibility, and easy management.

• API Development 🌐: I'm skilled in developing APIs, including RESTful APIs and frameworks like FastAPI. This enables seamless integration of data science models into web applications, enabling real-time predictions, efficient data exchange, and building interactive data-driven applications.

Heroku/AWS/Azure for Cloud Data Science ☁️: I'm actively learning and leveraging Heroku/AWS/Azure for cloud-based data science solutions. I'm able to harness the scalability and power of the cloud to tackle big data challenges.

• Developed end-to-end data science projects, starting from data acquisition and cleaning, to model development, and deploying them as web applications.
• Created a sentiment analysis model for social media data, providing valuable insights for brand reputation management.
• Implemented deep learning models for image recognition, achieving state-of-the-art accuracy in challenging competitions.