Kuntal Sardar Data Scientist
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Beginner Level:

At the beginner level,I provide you with a strong foundation in machine learning and artificial intelligence. You'll:

Grasp the fundamental concepts of machine learning, including supervised and unsupervised learning.
Develop coding skills in Python, the language of AI.
Gain expertise in data preprocessing, feature engineering, and model selection.
Explore real-world case studies and projects to apply your newfound knowledge.
Begin to understand the basics of deep learning and its applications.

Intermediate Level:

As you progress to the intermediate level, you'll dive deeper into the world of AI and machine learning. Here, you'll:

Master deep learning techniques, including neural networks and convolutional neural networks (CNNs).
Explore natural language processing (NLP) and learn the principles of chatbot development.
Work on complex AI projects, such as image recognition, sentiment analysis, and recommendation systems.
Understand the foundations of reinforcement learning and its applications.
Collaborate with peers on group projects that simulate real industry challenges.

Advanced Level:

At the advanced level, you'll become a true expert in AI, deep learning, and ChatGPT. You'll:

Specialize in advanced AI topics such as generative adversarial networks (GANs), recurrent neural networks (RNNs), and transformer models.
Master the principles of creating intelligent conversational AI using models like ChatGPT.
Develop and deploy AI chatbots for real-world applications.
Participate in advanced capstone projects that tackle high-impact AI challenges.
Be prepared to lead AI initiatives, research, and innovations in the field.

Subjects

  • Machine Learning Beginner-Expert

  • Computer Vision Beginner-Expert

  • Natural Language Processing Beginner-Expert

  • Deep Learning Projects in Python Beginner-Expert

  • Machine Learning Model deployment using flask and streamlit Beginner-Expert

Experience

  • Data ScientistDevelop, implement, and optimize machine learning and deep learning algorithms for a variety of applications. Leverage natural language processing (NLP) techniques to design and implement conversational AI solutions using ChatGPT or similar (Dec, 2021–Present) at Aarav solution pvt Ltd
    Develop, implement, and optimize machine learning and deep learning algorithms for a variety of applications.
    Leverage natural language processing (NLP) techniques to design and implement conversational AI solutions using ChatGPT or similar models.
    Train, fine-tune, and evaluate deep learning models for tasks such as text generation, language understanding, and context-aware responses.
    Collaborate with cross-functional teams to integrate AI technologies into products and services.
    Collect, preprocess, and label data for training, testing, and validation.
    Conduct research and stay up-to-date with the latest advancements in machine learning, deep learning, and NLP.
    Select and customize appropriate machine learning and deep learning libraries, frameworks, and tools for specific AI projects.
    Optimize algorithms for performance, efficiency, and scalability in real-world applications.
    Continuously monitor and improve model performance and accuracy.
  • Data Scientist (Feb, 2021–Dec, 2021) at Ispeck digital solutions Pvt Ltd
    Develop computer vision algorithms and applications for image and video analysis.
    Design and implement image processing and computer vision solutions to solve complex problems.
    Create and fine-tune deep learning models for object detection, image classification, and image segmentation.
    Work on real-time computer vision systems for applications such as autonomous vehicles, robotics, surveillance, and augmented reality.
    Collect, preprocess, and annotate image and video datasets for training and testing.
    Collaborate with cross-functional teams to integrate computer vision technologies into products and solutions.
    Stay current with the latest advancements in computer vision, machine learning, and artificial intelligence.
    Evaluate and select appropriate computer vision libraries, frameworks, and hardware for specific projects.
    Optimize algorithms for performance and efficiency in real-world applications.
  • Researcher II (May, 2018–Feb, 2021) at Froot Research pvt Ltd
    Conducted in-depth data science research to analyze complex problems and extract valuable insights.

    Developed innovative solutions to address real-world challenges by applying data analysis, machine learning, and statistical techniques.

    Designed and implemented Python-based APIs to facilitate data access and integration for various projects.

    Collaborated closely with cross-functional teams to identify data-related opportunities and drive data-driven decision-making.

    Collected, cleaned, and prepared data for analysis, ensuring data quality and integrity.

    Leveraged data visualization tools to present findings and results in a clear and actionable manner.

    Stayed up-to-date with the latest developments in data science, machine learning, and artificial intelligence to continually improve data analysis and modeling techniques.
  • Java developer (Jan, 2016–May, 2017) at Markline Commercial Edutech Pvt. Ltd.
    Developed and maintained Java Spring-based backend systems to power web applications.
    Designed and implemented RESTful APIs to support front-end functionality.
    Created dynamic and responsive user interfaces using Bootstrap and Angular.
    Integrated front-end and back-end components to ensure seamless functionality.
    Optimized application performance and resolved issues as they arose.
    Collaborated with cross-functional teams to understand project requirements and deliver high-quality software.
    Stayed up-to-date with industry best practices and emerging technologies to ensure continuous improvement of applications.

Education

  • B.Tech (Jul, 2011–Jun, 2015) from Ideal Institute of Engineering, Kalyani

Fee details

    ₹400–1,000/hour (US$4.76–11.89/hour)

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