Free!
Regular calls, per agreement
Unlimited Q&A via chat
No spots left, but you can save the mentor to your wishlist to get notified about their open spots!
Hi, I am Ramya, a Data Scientist with 3.5 + years and an overall 8+ years of expertise in software programming and data analytics. I specialize in Business Intelligence and Analytics with domain expertise in Retail and Insurance.
Data science is a very vast area and it requires diverse skills such as programming, mathematics, statistics, data engineering, Business domain expertise, and communication skills. I am here to assist and guide junior data scientists, data analysts, software programmers, and BI analysts to elevate their career as a successful data scientist.
I will be sharing real-world use cases that will help you understand concepts like data wrangling, data visualizations, machine learning, and data engineering techniques.
Currently, I use Python, R, for data cleansing, data visualizations, and machine learning algorithms, and the Azure platform for data engineering.
Looking forward to helping you and sharing my industry expertise.
"Knowledge is power, never stop learning"!!
5 out of 5 stars
Ramya is a really supportive and enthusiastic mentor. We've had great conversations and it was really nice to be able to talk to someone who is in the industry and map out my personal goals for my career. Thank you, Ramya!
Standard Plan • 5 months
5 out of 5 stars
Ramya was very helpful, kind, and a good mentor. She is very understanding and always willing to help.
Standard Plan • 3 months
5 out of 5 stars
She's super nice and supportive
Standard Plan • 1 month
Notify me when Ramya Priya has new spots
We will send you a quick email if Ramya Priya has new open spots for mentorship, and only in that case!
Book a free intro call with Ramya Priya
Connect with Ramya Priya in a quick call (usually under 30 minutes)
What's included in the trial?
Every trial is a little different–here's what Ramya Priya says about their trial:
We'll meet for a quick call (usually under 30 minutes) where we:
- Break the ice and introduce ourselves
- Discuss your goals and how I can support you
- Coordinate logistics like time zones, meeting frequency, and communication methods
