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Charchit Bakliwal has a diverse work experience in the field of analytics and data science. Charchit began their career as a Data Scientist Beginner at Big Data BizViz, where they played a key role in designing a fully automated platform for end-to-end analytics. Charchit then joined MiQ as an Analyst 2, where they worked in the Business Analytics team and provided recommendations for digital spend optimization. After that, Charchit worked at Dunzo as a Senior Product Analyst, where they developed a pipeline to predict customer demand and stockout, addressing the demand-supply problem. Charchit then spent some time at Amazon as an Analyst 2 before joining PulsePoint as a Senior Analyst in 2023.

Charchit Bakliwal completed their Bachelor's Degree in Computer Science from Lovely Professional University between 2015 and 2019. Prior to that, they obtained their Senior Secondary Certification in PCM (Physics, Chemistry, Maths) from Maheshwari International School from 2013 to 2014. Charchit also holds a Higher Secondary Certification in Science, Maths, English, and Social Science from the same school, which they completed from 2011 to 2012.

Apart from their formal education, Charchit Bakliwal has obtained several additional certifications. These certifications include:

- "Getting started with Natural Language Processing" from Analytics Vidhya in November 2018.

- "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera in October 2018.

- "Neural Networks and Deep Learning" from Coursera in October 2018.

- "Structuring Machine Learning Projects" from Coursera in October 2018.

- "SQL and Relational Databases 101" from IBM Cognitive Class in July 2018.

- "Programming for Everybody (Getting Started with Python)" from Coursera in March 2018.

- "Python Data Structures" from Coursera in March 2018.

- "Essential Design Principles for Tableau" from Coursera in February 2018.

- "Fundamentals of Visualization with Tableau" from Coursera in February 2018.

- "Visual Analytics with Tableau" from Coursera in February 2018.

- "Developing Data Products" from Coursera in January 2018.

- "Practical Machine Learning" from Coursera in December 2017.

- "Regression Models" from Coursera in December 2017.

- "Reproducible Research" from Coursera in November 2017.

- "Introduction to Data Analysis Using Excel" from Coursera in August 2017.

- "Introduction to Mathematical Thinking" from Coursera in August 2017.

- "Machine Learning for Data Analysis" from Coursera in August 2017.

- "ProgramX: Programming for Data Science" from edX in August 2017.

- "Advanced R Programming" from Coursera in July 2017.

- "Introduction to Programming with MATLAB" from Coursera in July 2017.