I Have 90 Days to Make $10k/mo—Here's my plan

Shaw Talebi · Beginner ·🚀 Entrepreneurship & Startups ·2y ago

Key Takeaways

The video outlines Shaw Talebi's plan to make $10,000 per month in 90 days after leaving a 6-figure corporate data science job, focusing on entrepreneurship, content creation, and community building through platforms like Medium, Discord, and YouTube.

Full Transcript

3 months ago I left my sixf fig data science job to pursue entrepreneurship full-time since I have a video all about why I left that role I won't get into that however here I will talk about how it's going so far and my plan for the next 3 months for how I'm going to get back to my full-time salary but now as an entrepreneur this journey started for me on July 14th 2023 which was my last day as a data scientist at Toyota when I walked out the door I had my SES on three main goals which mapped to the three key pillars of my business Consulting my community called the data entrepreneurs and content my first goal for Consulting was to land one single client that came through an inbound lead so essentially a client found me through a Blog that I wrote or a YouTube video that I made and reached out to me because they wanted to work together on some data science project the second was to get 100 people in attendance across all Q3 events in the data entrepreneurs Community third and finally was to generate $11,000 in one month from my medium blogs and of these three goals I only managed to hit one of them which was Land one client that came through as an inbound lead ironically this was the one that I was most worried about because the relationship between content and Consulting clients is a very unpredictable one while I had always known that content was a great way to generate leads in land clients it was all theoretical until I finally landed that first contract and what surprised me about many of my inbound leads is that they did not come from my most popular content in fact the client that I'm working with currently found me through a Blog that I wrote about topological data analysis which is not only an esoteric data science technique but is not even an approach for using in the project that we're working on together however the most significant takeaway of this for me is seeing this idea of cont content turning into contracts become a reality which gave me a boost of confidence and a signal that I'm on the right path as for the second goal of getting 100 people in attendance across all Q3 events I fell short of this goal while we only had 62 people in attendance I still see this past quarter for the community to be a success one reason for that is this goal of 100 attendees was very much a stretch goal and A good rule of thumb when you're dealing with these types of stretch goals is that even getting 60 to 70% completion can be considered a success this goal accomplished a higher level objective of growing the community a few metrics that reflect that are the Discord Community almost doubled in membership our email and newsletter list almost quadrupled and then our YouTube subscribers increased by 42x so we went from five subscribers on YouTube to about 210 and at this point we're even past that so this failure or success however you want to look at it really inspired ired a new direction for the goals in Q4 which I'll touch on a little later in the video and the final goal of generating $1,000 in earnings in one month for my medium blog turned out to be a bit of a roller coaster ride which I feel is very representative of my life as an entrepreneur medium is a blogging website which I first discovered through technical articles coming from towards data science I've been writing on medium for almost 3 years now putting out content about data science entrepreneurship and other things that I find interesting and if you've been following me on YouTube you probably notice that most of my YouTube videos have an Associated blog with them in June 2023 I made almost $500 writing on medium and the way this works is that anytime a medium subscriber reads one of my blogs medium pays me a portion of their membership fee coming into July 2023 my rationale was since I won't be committing 40 hours of my week to my full-time job I'll have more time to make more blogs on medium so if I double the amount of blogs that I write right I should be able to double my earnings this sounded like a good idea until in August something unexpected happened medium changed their monetization structure which took my monthly earnings from $500 all the way down to $200 even though I was putting out more content on medium and so by the end of August I had basically given up hope that I was going to hit this $11,000 goal but I still move forward with the plan of making twice as much content on medium then something unexpected happened yet again my blog series all about large language models started getting a lot of traction in the final 2 weeks of September and generated about $800 in earnings which brought me $20 Within Reach of my $1,000 goal but of course $980 is less than 1,000 so I technically did not hit this goal my main takeaway from this experience is that entrepreneurship is a wild ride and what I find helpful in the face of all this uncertainty and volatility is to find the work intrinsically rewarding and for me making content isn't about making money while that is a nice upside to it the main benefit that I get from it is that it gives me a way to structure and continue my learning which is super important in a space that is as rapidly evolving as data science and AI That's How The First 3 months went as a full-time entrepreneur now here's my plan for the next 3 months I again set three main goals for the quarter corresponding to each key pillar of my business and if I manage to hit all these goals I'll be in a place where my income will match what I made working full-time as a data scientist which was a little more than $10,000 a month I'll go through these goals one by one and talk more about why that goal is important and how I'm going to achieve it so starting with the first landing 20 hours a week of client work going into q1 the reason that this goal is important is that the overwhelming majority of my Revenue comes through Consulting this is about 90% or more of my business's revenue is from Consulting engagements My Hope Is I can hit this goal of 20 hours a week of work relying solely on inbound leads coming from my YouTube videos blog posts and other content that I put out there however given the unpredictable nature of content this cannot be my only strategy that's why if things aren't looking great halfway through the quarter I'll start an outbound campaign to try to get more clients what this could look like is reaching out to other Freelancers in my network to see if they know of any prospective clients this could be cold emailing or cold dming local businesses and finally applying to contracts on upwork the next goal is to put on 9 to 12 community events and this is about double the number of events that we did in Q3 and the idea is if we double the number of events we'll also double the number of attendees and continue to grow all the different Community channels the reason growing the community is important is because the value of the community scales with the number of members so the more people in the community the more people you can learn from the more people you can collaborate with the more jobs are listed in our job board the more projects are listed in our project board the more people showing up to networking events and all the other amazing things that can happen when you're interacting with like-minded people who are trying to go to the same place as you and while the community doesn't generate any Revenue directly it actually costs me some money and a lot of time it provides me with tremendous value in other ways and hopefully it does the same for other people too three of the biggest benefits I found through running this community are as follows first and foremost is learning you can learn a tremendous amount from someone that's just a few steps ahead of you I've learned a tremendous amount about freelancing and Consulting from data scientists who have been doing this a bit longer than me and on the flip side passing along lessons to those who are a few steps behind you in a sense I find is intrinsically rewarding and helps me solidify my my understanding of these Concepts because a lot of the lessons of Entrepreneurship you're not going to find in the textbook anywhere and I find this type of information is best learned by talking directly to practitioners the second big benefit for me of this community is support in other words sometimes it's great to just have someone to tell you you're not crazy the entrepreneurs journey is definitely not the norm which often leads to entrepreneurs being constantly misunderstood by friends family and others however that one stimulating ation with someone that gets it with someone that is on a similar journey to you makes up for the 10 conversations with people that don't understand what you're doing and the third big benefit is alignment and collaboration in other words when you and the person next to you are going to the same place that alignment naturally generates opportunities for collaboration that takes you both further even faster than you could have gone alone and the third big goal for this quarter is to keep up the content more specifically what that means is posting two blogs a week or two videos a week or one blog in one video a week posting three to five times a week on LinkedIn and posting one to two times a week on Instagram and Tik Tok while content generates some revenue for me so about $1,000 a month at this point the Main Financial upside of making content as a data scientist comes from the inbound leads that it generates for me but of course the leads aren't the main benefit of making content like I said before the key benefit of making content for me is that it gives me a way to structure my learning and keep up with the rapidly evolving space of data science and AI not only does content force me to read articles watch YouTube videos write example code do projects using whatever new technique that I'm learning but it also forces me to synthesize these learnings into a narrative which gives me a tremendous amount of clarity and understanding of these topics there's one last thing that has given me a lot more clarity and a good perspective for looking at my goals for this quarter often times with the uncertainty and volatility of Entrepreneurship things can get hard and it can be easy for me to lose perspective of why am I doing this why don't I just go back to a full-time job where I don't have to worry as much I don't have to stress as much the income is guaranteed why put myself through all this trouble and so what helps me in keeping a positive mindset is looking at all these goals through the lens of learning and giving these two aspects of learning and giving makes it easier to maintain that positive mindset which could be elusive in the ups and downs of Entrepreneurship and so when things get hard and when things get uncomfortable I can just remind myself that it's hard because I'm learning it's hard because it's new and then when I'm putting in a bunch of work for the community or I'm putting in a lot of work for content and maybe it feels like it's not worth it reminding myself that you're helping someone you're helping someone understand a complicated subject you're helping someone level up their data science skills you're giving someone the opportunity to speak to the community about their passions about their expertise you're giving a freelance client access to AI giving them the opportunity to leverage these new technologies in their business and I found that to be kind of like a superpower you know if you're just doing something for yourself it's easy to give up but if you're doing something for other people it makes it easier to stay motivated and engaged in the work that you're doing and so I'm leveraging both of these mindsets learning and giving to help me stay engaged stay productive and stay motivated this quarter if you have any specific questions about my decision- making for transitioning into entrepreneurship or how it's been so far or any questions on why I set my Q4 goals as I did please drop those in the comment section below I'm happy to share anything I've picked up along the way and as always thank you so much for your time and thanks for watching

Original Description

🤝 Work with me: https://aibuilder.academy/yt/Xn_Zw6KSxYU 🚀 Ship AI apps in weeks, not months: https://aibuilder.academy/courses/yt/Xn_Zw6KSxYU 3 months ago, I left my 6F corporate data science job to pursue entrepreneurship full-time. Here's how it's going and my plan for Q4. 📰 Read more: https://shawhin.medium.com/why-i-left-a-150-000-yr-data-science-job-to-become-an-entrepreneur-64ea530e6ef1?sk=6f2543ce8e4091737460678142a13a9e Introduction - 0:00 How it's going so far (Q3 recap) - 0:20 Q3 Goal 1: Consulting - 1:13 Q3 Goal 2: Community - 2:09 Q3 Goal 3: Content - 3:05 My plan (Q4 goals) - 5:21 Q4 Goal 1: Consulting - 5:47 Q4 Goal 2: Community - 6:40 Q4 Goal 3: Content - 8:58 My Q4 Mindset - 9:56
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Playlist

Uploads from Shaw Talebi · Shaw Talebi · 44 of 60

1 biometricDashboard2 DEMO
biometricDashboard2 DEMO
Shaw Talebi
2 biometricDahboard3 DEMO
biometricDahboard3 DEMO
Shaw Talebi
3 Time Series, Signals, & the Fourier Transform | Introduction
Time Series, Signals, & the Fourier Transform | Introduction
Shaw Talebi
4 The Fast Fourier Transform | How does it (actually) work?
The Fast Fourier Transform | How does it (actually) work?
Shaw Talebi
5 The Wavelet Transform | Introduction & Example Code
The Wavelet Transform | Introduction & Example Code
Shaw Talebi
6 Principal Component Analysis (PCA) | Introduction & Example (Python) Code
Principal Component Analysis (PCA) | Introduction & Example (Python) Code
Shaw Talebi
7 Independent Component Analysis (ICA) | EEG Analysis Example Code
Independent Component Analysis (ICA) | EEG Analysis Example Code
Shaw Talebi
8 Kmeans-based Blink Detecter DEMO
Kmeans-based Blink Detecter DEMO
Shaw Talebi
9 Shit Happens, Stay Solution Oriented
Shit Happens, Stay Solution Oriented
Shaw Talebi
10 Why Conflict Is Good & How You Can Use It
Why Conflict Is Good & How You Can Use It
Shaw Talebi
11 Causality: An Introduction | How (naive) statistics can fail us
Causality: An Introduction | How (naive) statistics can fail us
Shaw Talebi
12 Causal Inference | Answering causal questions
Causal Inference | Answering causal questions
Shaw Talebi
13 Causal Discovery | Inferring causality from observational data
Causal Discovery | Inferring causality from observational data
Shaw Talebi
14 How to Be Antifragile | 7 Practical Tips
How to Be Antifragile | 7 Practical Tips
Shaw Talebi
15 Multi-kills: How to Do More With Less (no, not by multi-tasking)
Multi-kills: How to Do More With Less (no, not by multi-tasking)
Shaw Talebi
16 Topological Data Analysis (TDA) | An introduction
Topological Data Analysis (TDA) | An introduction
Shaw Talebi
17 The Mapper Algorithm | Overview & Python Example Code
The Mapper Algorithm | Overview & Python Example Code
Shaw Talebi
18 Persistent Homology | Introduction & Python Example Code
Persistent Homology | Introduction & Python Example Code
Shaw Talebi
19 What Is Data Science & How To Start? | A Beginner's Guide
What Is Data Science & How To Start? | A Beginner's Guide
Shaw Talebi
20 How to do MORE with LESS - multikills
How to do MORE with LESS - multikills
Shaw Talebi
21 Causal Effects | An introduction
Causal Effects | An introduction
Shaw Talebi
22 Causal Effects via Propensity Scores | Introduction & Python Code
Causal Effects via Propensity Scores | Introduction & Python Code
Shaw Talebi
23 Causal Effects via the Do-operator | Overview & Example
Causal Effects via the Do-operator | Overview & Example
Shaw Talebi
24 Causal Effects via DAGs | How to Handle Unobserved Confounders
Causal Effects via DAGs | How to Handle Unobserved Confounders
Shaw Talebi
25 Smoothing Crypto Time Series with Wavelets | Real-world Data Project
Smoothing Crypto Time Series with Wavelets | Real-world Data Project
Shaw Talebi
26 Causal Effects via Regression w/ Python Code
Causal Effects via Regression w/ Python Code
Shaw Talebi
27 5 Reasons Why Every Data Scientist Should Consider Freelancing
5 Reasons Why Every Data Scientist Should Consider Freelancing
Shaw Talebi
28 An Introduction to Decision Trees | Gini Impurity & Python Code
An Introduction to Decision Trees | Gini Impurity & Python Code
Shaw Talebi
29 10 Decision Trees are Better Than 1 | Random Forest & AdaBoost
10 Decision Trees are Better Than 1 | Random Forest & AdaBoost
Shaw Talebi
30 Dimensionality Reduction & Segmentation with Decision Trees | Python Code
Dimensionality Reduction & Segmentation with Decision Trees | Python Code
Shaw Talebi
31 How to Make a Data Science Portfolio With GitHub Pages (2025)
How to Make a Data Science Portfolio With GitHub Pages (2025)
Shaw Talebi
32 My $100,000+ Data Science Resume (what got me hired)
My $100,000+ Data Science Resume (what got me hired)
Shaw Talebi
33 How to Create a Custom Email Signature in Gmail (2025)
How to Create a Custom Email Signature in Gmail (2025)
Shaw Talebi
34 I Spent $675.92 Talking to Top Data Scientists on Upwork—Here’s what I learned
I Spent $675.92 Talking to Top Data Scientists on Upwork—Here’s what I learned
Shaw Talebi
35 Lessons from Spending $675.92 to Talk to Top Data Scientists on Upwork #freelance #datascience
Lessons from Spending $675.92 to Talk to Top Data Scientists on Upwork #freelance #datascience
Shaw Talebi
36 A Practical Introduction to Large Language Models (LLMs)
A Practical Introduction to Large Language Models (LLMs)
Shaw Talebi
37 The OpenAI (Python) API | Introduction & Example Code
The OpenAI (Python) API | Introduction & Example Code
Shaw Talebi
38 The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio
The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio
Shaw Talebi
39 Why I Quit My $150,000 Data Science Job
Why I Quit My $150,000 Data Science Job
Shaw Talebi
40 Prompt Engineering: How to Trick AI into Solving Your Problems
Prompt Engineering: How to Trick AI into Solving Your Problems
Shaw Talebi
41 The REALITY of entrepreneurship. #entrepreneurship #startup #smallbusiness
The REALITY of entrepreneurship. #entrepreneurship #startup #smallbusiness
Shaw Talebi
42 Fine-tuning Large Language Models (LLMs) | w/ Example Code
Fine-tuning Large Language Models (LLMs) | w/ Example Code
Shaw Talebi
43 How to Build an LLM from Scratch | An Overview
How to Build an LLM from Scratch | An Overview
Shaw Talebi
I Have 90 Days to Make $10k/mo—Here's my plan
I Have 90 Days to Make $10k/mo—Here's my plan
Shaw Talebi
45 I Spent $716.46 Talking to Data Scientists on Upwork—Here’s what I learned.
I Spent $716.46 Talking to Data Scientists on Upwork—Here’s what I learned.
Shaw Talebi
46 Pareto, Power Laws, and Fat Tails
Pareto, Power Laws, and Fat Tails
Shaw Talebi
47 Do NOT become an entrepreneur #entrepreneurship
Do NOT become an entrepreneur #entrepreneurship
Shaw Talebi
48 Detecting Power Laws in Real-world Data | w/ Python Code
Detecting Power Laws in Real-world Data | w/ Python Code
Shaw Talebi
49 How I’d learn data analytics (if I had to start over in 2024) #dataanalytics
How I’d learn data analytics (if I had to start over in 2024) #dataanalytics
Shaw Talebi
50 4 Ways to Measure Fat Tails with Python (+ Example Code)
4 Ways to Measure Fat Tails with Python (+ Example Code)
Shaw Talebi
51 Fine-tuning EXPLAINED in 40 sec #generativeai
Fine-tuning EXPLAINED in 40 sec #generativeai
Shaw Talebi
52 How Much YouTube Paid Me in My First 6 Months of Monetization (as a Data Science Creator)
How Much YouTube Paid Me in My First 6 Months of Monetization (as a Data Science Creator)
Shaw Talebi
53 5 Questions Every Data Scientist Should Hardcode into Their Brain
5 Questions Every Data Scientist Should Hardcode into Their Brain
Shaw Talebi
54 AI for Business: A (non-technical) introduction
AI for Business: A (non-technical) introduction
Shaw Talebi
55 LLMs EXPLAINED in 60 seconds #ai
LLMs EXPLAINED in 60 seconds #ai
Shaw Talebi
56 3 Ways to Make a Custom AI Assistant | RAG, Tools, & Fine-tuning
3 Ways to Make a Custom AI Assistant | RAG, Tools, & Fine-tuning
Shaw Talebi
57 What is #ai? — Simply Explained
What is #ai? — Simply Explained
Shaw Talebi
58 QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)
QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)
Shaw Talebi
59 How to Improve LLMs with RAG (Overview + Python Code)
How to Improve LLMs with RAG (Overview + Python Code)
Shaw Talebi
60 Text Embeddings, Classification, and Semantic Search (w/ Python Code)
Text Embeddings, Classification, and Semantic Search (w/ Python Code)
Shaw Talebi

Shaw Talebi shares his journey of leaving a corporate job to pursue entrepreneurship, highlighting the importance of community building, content creation, and goal setting to achieve a target income of $10,000 per month in 90 days. He emphasizes learning from others, collaboration, and leveraging mindsets of learning and giving to stay motivated. The video provides actionable steps for viewers to apply to their own entrepreneurial pursuits.

Key Takeaways
  1. Reach out to freelancers in your network for prospective clients
  2. Cold email or cold DM local businesses
  3. Apply to contracts on Upwork
  4. Put on community events to grow your audience
  5. Grow your community channels through Discord and YouTube
  6. Set specific, achievable goals for your entrepreneurial journey
💡 Leveraging your community and creating valuable content can be a key driver of inbound leads and revenue as an entrepreneur.

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