The Model I introduced has Proven to be a Great Success in Our Organization – Sanjay Maurya, PGP AIML

Labored on an AI/ML pipeline that helps companies “Flip one-time guests to lifetime clients” – Sanjay Maurya.
 
I’m Sanjay Maurya, an ardent learner and a Software program Engineer having expertise in backend improvement, automation, knowledge engineering, cloud engineering, and restricted expertise in DevOps.
I’ve near eight years of labor expertise, and for the previous couple of years, I’ve been working intently with a few of the greatest telecom and car corporations. At the moment, I’m working with one of many high trade leaders within the car trade and managing probably the most important clients and gross sales knowledge set. 
 
For a while, I used to be trying to be taught area of interest expertise to maneuver from a standard programming language to one thing extra fascinating and thrilling. That’s the place I got here throughout the machine studying and synthetic intelligence course on-line.
 
Though I began my journey within the printing and packaging area based mostly on synthetic intelligence ideas, I couldn’t pursue that path attributable to a lack of awareness and expertise. Later I went by some articles and webinars to know profession alternatives and was satisfied that the factitious intelligence and machine studying area may very well be the precise selection for what I ought to make my subsequent transfer in. 
 
I’ve additionally applied my studying in one of many drawback areas of our platform, the place the enterprise wants to seek out potential leads which will be became a buyer (with a imaginative and prescient of turning one-time guests into lifetime clients) and improve buyer retention by reworking the possession expertise for service departments and OEMs and in addition by growing buyer satisfaction whereas boosting seller income and profitability. 
 
This complete course of was earlier guide and fairly error-prone. I recognized this as a chance to use a few of my machine studying ideas and get them automated absolutely. I got here up with an answer that would establish one of the best mannequin based mostly on given historic knowledge set and carry out predictions by studying from the historic load.
 
 I used hyperparameter tuning and achieved an R2 rating of greater than 90%, which was a lot better than the guide predictive system being labored upon by a workforce of 5-6 members. Regardless of having restricted AI/ML alternatives obtainable on my platform, the mannequin I launched has confirmed to be an awesome success for our group.

Take up this synthetic intelligence course and energy forward like Sanjay Maurya.