Sandipan Mukherjee

My career began as a Data Science Intern at Seamless, where I developed a strong foundation in SQL and data-driven problem-solving. I then joined Rakuten as an Analyst/Data Scientist, gaining hands-on experience with SQL development, ETL pipelines, data processing workflows, and automation solutions in a large-scale technology environment. Later, I moved to WTW, a global insurance and risk management firm, where I worked as a Software Analyst and contributed to SQL development, data engineering, ETL solutions, reporting systems, and analytics platforms. Through continuous learning and delivering impactful solutions, I progressed into a Senior Analyst cum Data Engineer role, expanding my expertise across data engineering, analytics, and cloud-based technologies.

Teaching has been a passion of mine since my college days, when I started mentoring students in competitive programming and problem-solving. Over the years, I expanded into teaching Python and SQL, helping learners understand complex technical concepts through practical, real-world examples. Having trained students from diverse backgrounds, conducted numerous SQL sessions, and interacted with a large number of interview aspirants, I developed a teaching approach focused on clarity, hands-on learning, and industry relevance. Today, my goal is to help learners build strong technical foundations, master real-world problem solving, and confidently advance their careers in the data industry.