$400 / month
4 calls per month (30min/call)
Unlimited Q&A via chat
Expect responses in 24 hours or less
Hands-on support
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**COMPLEMENTARY Introductory Call**
To ensure alignment with your objectives and my mentoring style, I invite you to schedule a complimentary introductory call.
**Background**
I am a seasoned Machine Learning professional with over 15 years of industry experience in software engineering, deep knowledge of machine learning, data mining and applications in healthcare , Ads-ecosystem and Payments. With a Ph.D. in Machine Learning, work experience at Google, Criteo and Bachelors from Indian Institute of Technology, I have a clear track record of academic/industrial excellence in solving challenging data science problems. I have published over 30 research papers // ~800 citations in top tier data science conferences.
My areas of expertise include :-
-Machine Learning
-Generative AI
-Large Language Models (LLMs)
-Data Mining
-Across domains : Payments, Healthcare, Ads.
**As your mentor, I can help you with the following
**1** Immigration Journey/Recommendation (EB1A, EB2, EB2-NIW, EB3, EB1B, EB1C): Eligibility , evidence, recommendation letters, application Process
**2** Machine Learning and Data Mining: Skill assessment, sharpening skills, targeted learning, projects and demonstrating expertise
**3** Market Analysis and Salary Expectations: Research and negotiation
**4** Career Goals and Roadmap: Define goals, roadmap and accountability
**5** Vertical Growth: Visibility, collaboration and influence within an organization.
Let's get started! To give you the most tailored advice, tell me more about:
Your current background and experience in Machine Learning and Data Mining.
Your specific career goals within Big Tech (e.g., specific roles, areas of interest).
I'm here to help you navigate this exciting journey and achieve your career aspirations!
Open to inquiries
You can message Pranjul to ask questions before booking their services
Get in touch
4 out of 5 stars
5 out of 5 stars
Pranjul is an incredible mentor—he doesn’t just teach, he guides you, helps you see the bigger picture, and pushes you to reach the next level. His support and vision make all the difference.
5 out of 5 stars
Pranjul's mentorship provided invaluable insights into the intricacies of the Ads ecosystem. I gained a deep understanding of the end-to-end machine learning pipeline, from data preparation to model deployment and evaluation. Key takeaways included:** Data-centric approach: We explored the critical role of high-quality data, including the importance of data collection, cleaning, and feature engineering. We discussed techniques like balancing class imbalances, handling biases, and leveraging diverse data sources. Feature Engineering: We delved into various feature representation techniques, including image, text, and video embeddings, along with the importance of tabular features and their impact on model performance. Model Selection and Evaluation: We explored a wide range of models, from traditional methods like Linear Regression and Decision Trees to deep learning architectures like RNNs, LSTMs, and Transformers. We also discussed key evaluation metrics like log-loss and the importance of robust offline and online evaluation. The ML lifecycle: We examined the complete ML workflow, from data preparation and model training to deployment, A/B testing, and continuous monitoring and improvement. We discussed the critical role of feedback loops in optimizing model performance and adapting to changing user behavior. Pranjul's ability to explain complex concepts clearly and concisely, coupled with his focus on real-world applications, made the learning experience both engaging and insightful. I highly recommend Pranjul to anyone seeking to gain a deeper understanding of the Ads ecosystem and the role of machine learning in driving business success
Notify me when Pranjul has new spots
We will send you a quick email if Pranjul has new open spots for mentorship, and only in that case!
Book a free intro call with Pranjul
Connect with Pranjul in a quick call (usually under 30 minutes)
