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Data Analytics Sample Resumes

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Discovery Call

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15 mins
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Interview prep & tips

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30 mins
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800
4.9

Career guidance

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Data Engineering Sample Resumes

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Resume Review

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1:1 Mentorship

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60 mins
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Ratings and feedback

4.9/5
133 ratings
128
Testimonials
5/5
Session was very insightful.
5/5
Thank you so much, Santosh Sir; your words are really inspiring. Words are not enough to thank you; literally, I was struggling to find the right path for my career. As a fresher, I was very confused and demotivated, but after talking with you, I feel motivated, and now I have a clear idea of what to do next. Thank you so much for your time.
5/5
Overall it was a value added discussion.
5/5
I had a great time talking to Santosh, cleared all my queries. I am very grateful to you Santosh. Thank you so much for listening to me very patiently and answering my all queries.

About me

Santhosh, a visionary Chief Technology Officer (CTO) with over 10 years of experience in data engineering, analytics, AI/ML, and cloud technologies. Currently, I lead technical strategy and innovation at KSR Datavizon, a tech training institute renowned for conducting 10+ hackathons and offering industry-recognized certifications. With a proven track record in building scalable data pipelines, modernizing legacy systems, and driving cloud migrations, I specialize in Azure, Databricks, Power BI, and SQL. My expertise extends to Machine Learning Operations (MLOps), NLP (Natural Language Processing), and Generative AI, enabling businesses to harness cutting-edge technologies for actionable insights and process optimization. Key highlights of my career include: End-to-End Data Pipeline Implementation for Azure-based projects. AI/ML Model Deployment to improve inventory management and customer experience. Leadership in Business Intelligence (BI) with Microsoft Fabric and Power BI integrations. Cost Optimization Strategies during enterprise-scale migrations. Mentoring 500+ professionals and helping them secure roles in top companies. I am passionate about bridging the gap between academia and industry, empowering the next generation of data professionals through training, mentorship, and real-world projects. Let’s connect to discuss technology trends, data-driven insights, and collaborative opportunities!