We are thrilled to offer an exciting internship opportunity at The Tann Mann Foundation for a passionate Machine Learning intern with expertise in Python, Jamovi, Deep Learning, Data Analytics, Power BI, R Programming, and Natural Language Processing (NLP). As part of our dynamic team, you will have the chance to apply your skills and knowledge to real-world projects that make a difference in the world of philanthropy.
Key responsibilities:
1. Collaborate with our data science team to develop and implement machine learning algorithms for predictive modeling.
2. Utilize your expertise in Python and R programming to analyze and interpret complex data sets.
3. Apply your knowledge of Deep Learning to enhance our data analysis and forecasting capabilities.
4. Utilize Natural Language Processing (NLP) techniques to extract insights from unstructured text data.
5. Develop interactive dashboards using Power BI to visualize data and communicate findings effectively.
6. Assist in the design and implementation of data analytics solutions to support our foundation's initiatives.
7. Stay updated on the latest trends and advancements in machine learning to contribute innovative ideas to our projects.
If you are a proactive and motivated individual looking to gain hands-on experience in the field of machine learning, we invite you to join us at The Tann Mann Foundation and make a meaningful impact through your work. Apply now to be part of our innovative team!
Only those candidates can apply who:
1. are available for the work from home job/internship
2. can start the work from home job/internship between 5th Nov'24 and 10th Dec'24
3. are available for duration of 2 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
The Tann Mann Foundation is a registered trust located in Bangalore, India. We are a not-for-profit social charitable organization with a focus on creating wellness facilities on wheels. We are using AI, ML, blockchain, IoT, and cloud computing to enable the vehicles apart from using cutting-edge technology to reduce water use, enable solar and renewable energy use, and much more. At this time we work only with unpaid volunteers (part-time/freelance/full-time) and we have well-known experts contributing to the cause.
