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Data Science/Analysis - Career Guidance

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4.9/5
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Testimonials
5/5
With over 14+ years of experience in Data Engineering, I had a foundational understanding of Data Science. However, with the growing trend and surge in AI, I am planning to upskill in Data Science. That’s when I came across a webinar post by Priyanka, whose insightful LinkedIn content I’ve been following for a while. From the webinar, I hoped to gain a clear roadmap, hands-on knowledge, project ideas, and detailed steps—and Priyanka exceeded my expectations. She shared her valuable experience and provided actionable insights on Data Science, job trends, Machine Learning, and GenAI. It was an incredibly insightful session. I highly recommend Priyanka for anything related to Data Science!
5/5
Authentic response from Priyanka. Insightful words from her made me clear on many things about my doubts.
5/5
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.
5/5
I'm so grateful that I reached out to connect with Priyanka. She is so knowledgeable and an expert in the field staying up to date with tech but also very generous and kind hearted to help. She understood my current position and gave out perfect options for my career path. Priyanka also laid out clear steps for me to attain results. I have no enough words to thank Priyanka! Highly recommended for anyone looking to find clarity in their career path. I'm looking forward to continue my journey with her.
5/5
Priyanka was knowledgeable and gave practical insights on how to transition to data analytics with a detailed roadmap.
5/5
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.

About me

- Experienced in analysing and deep diving into data. - Expertise in A/B testing & experimentation design - Focus on creating, testing, deploying & monitoring Machine Learning models - Focus on various ML testing methodologies - Proficient in scheduling & automating ML pipelines using Airflow - Hands-on with various AWS & GCP tools. Tools and Technologies: Python, PySpark, SQL, Tableau, AWS EMR, Sagemaker, OCI, GCP BigQuery, Redshift, CI/CD, Docker, AWS Fargate, AWS Lambda, Git, JIRA, Linux, ML - Supervised, Unsupervised & NLP