30 Days, 30 Hacks: Mastering Your US Master's Journey

Are you hoping to pursue a data science internship opportunity as a Master’s student?
It's paramount to construct a compelling portfolio that not only showcases your technical proficiency but also highlights your ability to derive actionable insights from data. It is a competitive field at the moment and therefore requires a lot of hardwork.

To achieve this, you should have a portfolio of impactful data science projects that highlight your skills and demonstrate your practical knowledge. These projects will not only serve as tangible evidence of your capabilities but also provide you with valuable hands-on experience.

Project Types and Recommendations:

1. Consider engaging in predictive modeling exercises, where you can employ machine learning algorithms to forecast outcomes. Documenting your entire workflow, from data preprocessing to model selection and performance evaluation, will showcase your meticulous approach to problem-solving.
   Recommendations:

   a.https://www.kaggle.com/datasets/bhuviranga/customer-churn-data
   b.https://www.kaggle.com/datasets/vijayvvenkitesh/microsoft-stock-time-series-analysis
   c.https://www.kaggle.com/datasets/deltasierra452/airline-pax-satisfaction-survey
   d.https://www.kaggle.com/datasets/varsharam/walmart-sales-dataset-of-45stores
   
   

2. Exploring the realm of Natural Language Processing (NLP) is another avenue to venture into. Projects like sentiment analysis, text classification, or chatbot development can demonstrate your proficiency in handling unstructured text data and deploying NLP techniques effectively.
   Recommendations:
   a.https://www.kaggle.com/datasets/allen-institute-for-ai/CORD-19-research-challenge - This is a highly impressive dataset that you should definitely delve into, this will provide you a complete overview of how NLP plays an important role
   b. https://www.kaggle.com/datasets/jpmiller/layoutlm - Similar to the previously mentioned dataset, might as well start with this
   c.https://www.kaggle.com/datasets/thoughtvector/customer-support-on-twitter
   d.https://www.kaggle.com/datasets/aaron7sun/stocknews - I’ve enjoyed working with this dataset and I recommend to apply all your skills to this dataset
   
   

3. For those with a penchant for visual data representation, diving into data visualization projects can be highly rewarding. Creating interactive and informative data visualizations using tools like D3.js, Matplotlib, or Seaborn not only demonstrates your technical skills but also your ability to convey complex information in an understandable manner.
   Recommendations:
   a.https://www.kaggle.com/datasets/hemil26/nft-collections-dataset - NFT dataset at one point was one of the best things I could work on
   b.https://www.kaggle.com/datasets/brendanartley/benetech-extra-generated-data - I was terrible at visualizing this dataset, it turned out to be my Achilles heel.
   c.https://www.kaggle.com/datasets/dhruvildave/github-commit-messages-dataset - doesn’t get any better than this
   d.https://www.kaggle.com/datasets/rajsengo/indian-premier-league-ipl-all-seasons - I haven’t worked on this data but it’s for all the cricket fans out there
   
   

4. As a data science intern, you may also encounter large-scale datasets, making it worthwhile to explore Big Data technologies like Apache Spark or Hadoop. Building projects that involve distributed data processing and performance optimization will signal your readiness to tackle real-world challenges. I recently had a session with Databricks more like a 2 day training session and I can’t get over their accomplishments in data streaming domain.

   Recommendations:
   a.https://www.kaggle.com/datasets/shayanfazeli/heartbeat
   b.https://www.kaggle.com/datasets/andrewmvd/sp-500-stocks
   c.https://www.kaggle.com/datasets/mbornoe/lisa-traffic-light-dataset
   
   

5. OpenCV, short for Open Source Computer Vision Library, is a versatile tool that enables a wide range of applications. Whether you're interested in developing practical applications like license plate recognition or want to delve into the realms of augmented reality and medical imaging, OpenCV's versatility makes it a perfect playground for your creativity and technical prowess.

   Recommendations:
   a.https://www.kaggle.com/datasets/juniorbueno/neural-networks-homer-and-bart-classification - one of my first projects with BART had this dataset
   b.https://www.kaggle.com/datasets/andy8744/annotated-anime-faces-dataset - Anime lovers might enjoy this
   c.https://www.kaggle.com/datasets/hugopaigneau/playing-cards-dataset