Data Science Intern

We are looking for a motivated and enthusiastic Data Science Intern to join our team. The intern will work on AI\-powered quality assessment projects focused on agricultural produce, leveraging Machine Learning, Computer Vision, and Data Analytics techniques. This role offers hands\-on experience in developing intelligent solutions, analyzing datasets, and contributing to innovative AgriTech products.

Key Responsibilities AI\-Powered Quality Assessment

• Assist in developing AI and Machine Learning models for quality assessment and grading of agricultural produce.
• Work with image datasets to identify quality parameters, defects, and classification categories.
• Support Computer Vision model development for automated quality inspection.
• Participate in model training, testing, validation, and performance optimization.
• Analyze agricultural datasets and generate actionable insights.

Data Science \& Analytics

• Collect, clean, and preprocess structured and unstructured data.
• Perform Exploratory Data Analysis (EDA) to identify patterns and trends.
• Build predictive and classification models using Machine Learning techniques.
• Develop reports, dashboards, and visualizations to support business decision\-making.
• Evaluate model performance and recommend improvements.

Research \& Innovation

• Research emerging trends in Artificial Intelligence, Machine Learning, Computer Vision, and AgriTech.
• Experiment with new algorithms and technologies to improve product accuracy and efficiency.
• Collaborate with product, technology, and business teams to translate requirements into data\-driven solutions.

Required Skills

• Proficiency in Python.
• Working knowledge of Pandas, NumPy, and Matplotlib.
• Understanding of SQL and database concepts.
• Knowledge of Machine Learning fundamentals, including Regression, Classification, and Clustering.
• Experience with Data Cleaning and Data Analysis techniques.
• Familiarity with Data Visualization tools such as Power BI or Tableau.
• Basic understanding of Statistics and analytical methodologies.
• Strong problem\-solving, analytical, and critical\-thinking skills.
• Ability to learn quickly and work effectively in a startup environment.

Preferred Skills

• Knowledge of Computer Vision and Image Processing.
• Familiarity with OpenCV, TensorFlow, PyTorch, or Keras.
• Understanding of Deep Learning models, especially Convolutional Neural Networks (CNNs).
• Interest in Agriculture, Artificial Intelligence, and Sustainability.

Qualifications

• Pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field.
• Relevant academic projects, certifications, or coursework in Data Science or Machine Learning are a plus.

What You'll Gain

• Hands\-on experience with real\-world AI and Data Science projects.
• Exposure to Machine Learning, Computer Vision, and AgriTech applications.
• Mentorship from experienced professionals.
• Opportunity to contribute to innovative, impact\-driven solutions.
• Potential for a full\-time opportunity based on performance.

Pay: ₹5,000\.00 \- ₹10,000\.00 per month

Work Location: In person