The resume review helped me understand how to highlight my strengths more effectively. The feedback was clear, practical, and easy to apply, which made the process smooth and encouraging. I now feel much more confident about my resume and how it reflects my experience.
Dev
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I had a great mentorship session with saurabh. He was incredibly knowledgeable, patient, and insightful. He took the time to understand my background and provided practical guidance tailored to my goals. I left the session with much more clarity and a solid action plan. Highly recommend connecting with him if you’re looking for honest and helpful career mentorship in data engineering!
Rohan Borad
Pinned
I DM'd Saurabh with a question I had regarding an interview that was coming up. He provided an informative answer and that too in a very short time
Highly motivated Data Professional with over 14 years of experience in Data Engineering, BI Development & Data Analysis. I believe my overall education and work experience has honed my BI, analytical and engineering skills, making me a good fit to pursue new opportunities in Data Engineering/BI Development/AI/ML.
Skills:
Databases: AWS Redshift, MS SQL Server, Snowflake, Teradata, Oracle, DB2, MySQL, Apache Hive
Programming/Scripting Languages: Python, SQL, PL/SQL, Shell Scripting, C, C++
Business Intelligence & Analytical Tools: Tableau, Looker, Business Objects, Aceyus, Power BI, Spotfire, Rapidminer, SAS, SPSS
Other Tools: AWS, MS Office Suite, Stonebranch, Control-M, HP Quality Center11.0
Soft Skills: Project Management, Interpersonal skills, Lateral & Critical Thinking, Decision Making, Team Player
Professional Strengths: Strong Problem Solving, Analytical, Project Management, People Management, Presentation, and Communication skills. Quick learner and the ability to lead cross functional teams, adapt quickly, and resolve conflicts
Professional Page Link: http://saurabhs619.wix.com/saurabhsiroya
Public links:
Blogspot: http://saurabhsiroya.blogspot.com/
GitHub:https://github.com/saurabhsiroya
Kaggle (Machine Learning): https://www.kaggle.com/saurabhs619/competitions
