Analytics Problem solving - Art to Science



Data science as much an art as science

This session focuses on the before of ML - from effective requirement gathering to structuring problems. It decomposes the art to science. It covers through stories and case studies the process of breaking a business objective into analytical objectives which can be solved through data, and how frameworks help. Details: 1. Requirement gathering in data science 2. Insights generation checklist 3. Business and analytics frameworks to aid

A glimpse can be seen in the article :


No specific pre-requisites, data science experience will help relate better

Content URLs:

Speaker Info:

Rajneet is a passionate & result-driven data science leader with 8 years of business & technology experience. She has set up 20+ analytical processes for 5+ fortune 100 clients. She was given the leadership award 'Managing remote teams' for great processes set up.

Being a data science senior manager in eClerx, she is currently handling a team of ~25. She is also leading the Analytics Community of Practice at eClerx focused on up-skilling and engagement. 50+ sessions, 8+ competitions & 75+ presenters involved.

Interestingly she has also been visiting faculty for Symbiosis SCMHRD MBA(BA) batch for 4 years, a speaker at a few webinars and several Analytics articles on linked in, KDNuggets and medium. 250+ professionals have benefited from her course ‘Spreadsheet Modeling’, which is also published on Udemy. Her contributions on 'Analytical problem solving' and 'Data story-telling' have been applauded.

Rajneet has a PG(Machine learning) and an MBA(Marketing). She has anchored/performed in >5 500+ audience concerts.

Speaker Links:

Host for 50+ sessions of Data science community of practice and speaker in 3 of them on: 1. Promotional Analytics 2. Data-Science for a Fortune 100 OEM

Guest speaker, SCMHRD Symbiosis, 'Visualization and Story-Telling'

Have 2 seminars planned on 30May and 6 June, on 'Analytical problem solving' and 'Data Story telling'

My Udemy course may help with a glimpse :

Section: Data Science, Machine Learning and AI
Type: Talks
Target Audience: Beginner
Last Updated: