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Labored on an AI/ML pipeline that helps companies “Flip one-time guests to lifetime prospects” – 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 few years, I’ve been working intently with among the greatest telecom and car firms. At present, I’m working with one of many prime business leaders within the car business and managing essentially the most vital prospects 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 attention-grabbing 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 discipline primarily based on synthetic intelligence ideas, I couldn’t pursue that path because of a lack of awareness and expertise. Later I went by means of some articles and webinars to know profession alternatives and was satisfied that the synthetic intelligence and machine studying discipline might be the fitting selection for what I ought to make my subsequent transfer in.
I’ve additionally carried out my studying in one of many downside areas of our platform, the place the enterprise wants to seek out potential leads which could be changed into a buyer (with a imaginative and prescient of turning one-time guests into lifetime prospects) and enhance buyer retention by remodeling the possession expertise for service departments and OEMs and likewise by growing buyer satisfaction whereas boosting vendor income and profitability.
This complete course of was earlier handbook and fairly error-prone. I recognized this as a chance to use a few of my machine studying ideas and get them automated totally. I got here up with an answer that would establish one of the best mannequin primarily based 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 handbook predictive system being labored upon by a staff of 5-6 members. Regardless of having restricted AI/ML alternatives accessible on my platform, the mannequin I launched has confirmed to be an excellent success for our group.
Take up this synthetic intelligence course and energy forward like Sanjay Maurya.
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