Akshat, a mainframe developer, was also a keen learner of ML. He was well versed in ML Studio and Auto ML. We knew bringing his more in-depth experience in Python, Jupyter Notebook and Automated ML would help the team.<\/li>\n<\/ul>\nWith our team, Centric India1, assembled, the five of us began on our ML journey, full of enthusiasm and ready to succeed at Expedition: Data.<\/p>\n
<\/p>\n
<\/p>\n
Our Machine Learning Challenge<\/h3>\n
The organizers of Expedition: Data gave us six business problems to choose from. They revolved around critical issues such as customer retention, consultant retention and strategist retention. After reviewing the materials and considering the options, we decided on consultant retention. The problem\u2019s definition was to develop a machine learning model that would help our participating client:<\/strong><\/p>\n\n- Hire and invest in training new consultants and salespeople<\/li>\n
- Lower attrition for existing consultants and salespeople<\/li>\n
- Benefit from potential areas for leadership coaching by analyzing data from daily activities such as emails sent, appointments set or kept, or leads entered into the database<\/li>\n
- Recognize opportunities to \u201ccoach up\u201d or \u201ccoach out.\u201d<\/li>\n<\/ul>\n
From a consultant-retention perspective, our task was to identify the characteristics of consultants at risk of leaving the firm, and our goal was to develop ML and data-science-based retention programs for those consultants.<\/p>\n
In our project, we had to demonstrate our capability using Microsoft ML technologies such as Azure ML Services, Azure ML Virtual Machine and Azure Databricks. We had some knowledge about these tools, but we needed to explore them more deeply. The client partnering with us for this project provided their data through a SQL database.<\/strong> After securing all the required accesses and familiarizing ourselves with the tools, we were ready to move forward.<\/p>\nIn my next post, I\u2019ll take a deeper look at how we analyzed our problem and built our ML model to solve it \u2014 and, of course, how it performed and how Centric India1 did at Expedition: Data.<\/p>\n
It\u2019s Just the Beginning<\/h2>\n
In a short time, I went from wondering about machine learning and Netflix to becoming ML certified and joining a team ready to tackle a real-world problem. Thank you for joining me on my ML journey. I can\u2019t wait to share what\u2019s next.<\/p>\n","protected":false},"excerpt":{"rendered":"
Centric India\u2019s Ruchika Gupta shares her journey from Netflix fan wondering about her recommendations list to joining a competitive machine learning team.<\/p>\n","protected":false},"author":301,"featured_media":31238,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"","_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"categories":[1],"tags":[18616,19123],"coauthors":[20601],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2024-07-21 21:00:54","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category"},"_links":{"self":[{"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/posts\/31235"}],"collection":[{"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/users\/301"}],"replies":[{"embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/comments?post=31235"}],"version-history":[{"count":1,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/posts\/31235\/revisions"}],"predecessor-version":[{"id":50799,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/posts\/31235\/revisions\/50799"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/media\/31238"}],"wp:attachment":[{"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/media?parent=31235"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/categories?post=31235"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/tags?post=31235"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/centricconsulting.com\/wp-json\/wp\/v2\/coauthors?post=31235"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}