Priyanka Banerjee

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How to Build a Real-World Project in Data Science
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Project Problem Statement : In finance domain probability of customers to default and predict their credit risk scores


What we will look into:

  1. Understanding raw, messy datasets in industries.
  2. How to handle data inconsistencies & anomalies?
  3. How to select required features for building models?
  4. How to select a model, if required custom model?
  5. Sneak peak into more advanced techniques like Model Deployment, Model Scoring & Monitoring and post Model Monitoring process


What kind of jobs will this project help in? 


Data Science is extremely domain specific and requires business acumen. If you do this project especially credit risk, companies from where you might get opportunities are:

Banks like JPMC, Wells Fargo, Citibank, etc., 

Credit Bureaus like TransUnion, Epsilon, Experian, etc., 

Consulting Firms like EY, Deloitte, Accenture, etc.,

FinTech startups like Razorpay, PayTM, Cred, etc., 

Payments Division of big organisations like Amazon, AirBnB, Google. Also you will be able to replicate it into similar kinds of problems across varied domains, eg.: how to predict people who might be defaulters in supply chain or healthcare industry.


What are people saying

Priyanka she’s just amazing. What a great explanation. Haven’t seen any mentors with such a simple explanation which helps understanding the topics very clearly. Had a great session. Best mentor I’ve seen. 5 star is not just enough . I can give 100 star. I can now see myself with good confidence. Thank you so much.
Nisha sree M
Oct 2024
I just had a really insightful resume improvement feedback session. The session was highly constructive and provided me with a clear understanding of the areas that needed attention like making industry standard personal projects. Highly recommend for anyone looking to fine-tune their resume!
Rounak Kundu
Oct 2024
This is my second meeting with priyanka, had some great career advices on DS career, she touched up so many areas like product sense and preparation. ML algos and what kind of ground work needs to be done to crack product and service companies.Some invaluable resources were suggested. I duly recommend both exp people and freshers transitioning their path to schedule a session to get more insights on the gr really in DS space.
abhishek
Sep 2024
Thanks Priyanka, You helped me understand what the real world of Data science from a product based companies look like. You explained many aspects that for a entry level DS job to Senior Mid level the companies look for,
Abhishek
Sep 2024
I had the pleasure of taking a mentoring session with Priyanka to discuss my journey in data science, and it was truly transformative. Priyanka provided me with clear, actionable insights that were tailored to my specific interests and goals. Her step-by-step guidance not only helped me understand where my true passions lie within data science but also gave me a concrete roadmap to follow. Priyanka’s ability to break down complex concepts and offer practical advice made the session invaluable. I now feel more confident and focused in my career path, thanks to her expertise and support.
Shashankh MG
Aug 2024
$5$6