Dive into a digital realm where research and data analysis dance together with decision making, where data shifts from tables into forceful visualizations, and where a budding research analyst evolves into a seasoned data analyst.

This isn't just my portfolio, but a chronicle of my exploration into the expansive world of data analytics & decision making. Whether you're an aspiring analyst, a seasoned pro, or simply someone with a penchant for learning, this is your hub!

Here, I share the nuggets of knowledge I uncover, tips to enhance your analytics journey, and best practices that refine our collective expertise. I invite you to share your insights, ask questions, and spark enlightening discussions. We’ll grow as a community of practice. I envision the insights of seasoned analysts enriching our collective knowledge and become better professionals. So join in! It’ll be fun :)

Novsto offers the following materials:

You’ll find here notes, insights, and commentary on research and analysis materials - case studies & practice questions.

We mostly use technical tools such as: SQL, Python, Excel, and various visualization programs (e.g. Tableau, Power BI).

In addition, we also provide opportunities to learn more about data visualization best practices in general, since high quality data-storytelling is vital in order to lead to levelheaded decision making and action.

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  • Contribute:
    We welcome contributions from members of the research & analysis community of practice. Please feel free to send us messages describing your proposals (thereview.editors {at} gmail.com). We’ll respond in a timely manner.

  • Become a Member:
    Frankly, this option exists for our readership to express support and minimize our expenses (loses) because we truly don’t expect to make any profit out of this initiative. Any potential profit would help us improve Novsto. It could also be shared among the fellows involved in the production of Novsto (this includes, of course, cases of external contributors).

Our Principles & Standards

  • Contributors must act in good faith. Sharing knowledge and best practices must not be done through copyright / intellectual property violations.

    If you spotted a violation: In any case that a mistake might have happened, any mistake whatsoever, please contact us as fast as possible at thereview.editors {at} gmail.com so we would be able to fix the problem.

  • Manners! Be polite & professional: Commenting on anything - writing compliments or criticism - must be done in a professional and respectful manner.

    We expect disagreements within our readership, especially as our audience is composed of intelligent, independent, and critical thinkers. We expect all discussions to be carried out in a polite, respectful, and professional fashion.

    Please do not hesitate to contact us at thereview.editors {at} gmail.com if you see a deviation from these principles and standards. We’ll be right on it.

Our pace of operations (updates):

Please note that we don’t commit ourselves to any specific pace of updates. It all depends what happens in our personal and professional lives. It might also be influenced by others’ willingness to submit contributions, & so on.

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Novsto displays my exploration into research, data analysis (mostly SQL, Python), levelheaded decision making, & forceful data visualizations (Python, Excel, Power BI, Tableau). But it's not just a portfolio- it's also a practice hub for other analysts!


Research Data Analyst | Intersection of Data, Product, Decision Making, Innovation & Strategy.