I'm a Data Science enthusiast with a strong foundation in statistics, mathematics, and programming. I have recently completed a post graduate degree in Data Science and AI.I am eager to apply my skills in a real-world setting. I am proficient in Python, R, and SQL, and have experience working with data visualization tools such as Tableau and PowerBI. I have a solid understanding of machine learning algorithms and have experience implementing them using popular libraries such as scikit-learn and TensorFlow. I am also familiar with big data frameworks such as Apache Hadoop and Apache Spark. I am excited to start my career in data science and contribute to solving complex problems using data-driven solutions.
| Name | Description | Hosted Link | Repo Link |
|---|---|---|---|
| Crop-Disease-Prediction | Crop disease prediction is a crucial application of deep learning in the field of agriculture. With the use of Convolutional Neural Networks (CNNs) and other deep learning models, it is possible to achieve high accuracy rates in detecting and classifying crop diseases. By analyzing images of plant leaves, these models can identify early signs of diseases and help farmers take preventive measures. | [Hosted Link 1] | github repo link |
| Food-Delivery-Time-Prediction | The Food Delivery Time Prediction project aims to develop a machine learning model that can accurately predict the time it takes for a food delivery to be completed. The dataset used for this project includes various features such as delivery person age, delivery person ratings, distance, type of order, type of vehicle, and time taken for delivery. | [Hosted Link 2] | github repo link |
- Demonstrated leadership and collaboration skills by leading group projects and initiatives in data science coursework, taking charge of project management, task allocation, and ensuring timely completion of deliverables.
- Actively participated in data science communities, attending meetups and workshops, and contributing to discussions and knowledge sharing, thereby building a strong network and influence within the data science community.
- Strong networking skills, with experience in attending and presenting at conferences, meetups, and workshops, and building relationships with professionals in the field.
- Plans to engage with the community by attending and speaking at events, contributing to open-source projects, and mentoring other data scientists.
- Aims to influence and lead others through sharing knowledge, providing guidance, and collaborating on projects to drive innovation and advance the field of data science.
- Immediate Plans: I plan to mentor junior data scientists and organize data science workshops in Kerala to build a strong community of data science professionals
- Long-term Plans: In the long term, I aim to launch a data science startup in Kerala, focused on developing innovative solutions for real-world problems
- Kerala has the potential to excel in the technology startup ecosystem by nurturing local talent, fostering innovation, and creating a supportive environment for startups.
- Collaboration between academia, government, and industry will be key to achieving this vision.
- Contributed to the open-source project Mulearn by implementing feature Push Notification.
- Actively maintain a popular open-source library for Data science tools used by developers worldwide.
- I have been an active participant in various data science forums, including Kaggle, DataCamp, and Analytics Vidhya. I have been answering questions, providing feedback, and sharing resources with other community members.
- Active participant in the Gtech Mulearn where I help newcomers and share my knowledge.
- I have written several blog posts on data science topics, including an introduction to machine learning, an overview of natural language processing techniques, and a tutorial on building a recommendation system using collaborative filtering. These posts have received positive feedback from the data science community and have helped me establish myself as a knowledgeable and approachable data scientist..
- Proficient in using popular data science tools such as Python, R, SQL, and PowerBI for data manipulation, analysis, and visualization.
- Experienced in using version control tools like Git and GitHub for collaborative software development and project management.
- Kaggle profile showcasing 3 completed data science projects.