Hi, I'm Harsh Gupta

" It’s not who has the best algorithm that wins; it’s who has the most data. " - Andrew Y. Ng

I’m a Data Scientist interested in bringing a turning change in concepts of Data Science and Machine Learning into meaningful insight. Have been working as a Data Engineer and am now Promoted to Data Scientist at Mindtree Ltd.

Statistical Modeling and Machine Learning Algorithms (Python, SQL).
Cloud Architecture (Azure MLOps).
Deep Learning Modelling (LSTMs, CNNs, Tensorflow)
Excellent Communication Skills; Strong Leadership; Reliable Team Player; Highly Organised; Passionate.

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Harsh Gupta's Projects

azro-virtual-assistant-with-disease-detection

A Virtual Assistant that uses Disease Detection to solve the medical trauma that requires immediate attention for routine assistance provided by humans in hospital for Efficiently Diagnose, Better Management and Effective Communication. Not only it is time-efficient, but a personalized track of records is maintained and human error is eliminated to ensure smooth service for the patient.

chatbot-with-facial-recognition

A Chatbot With Facial Recognition Providing a Virtual Assistant for Better Management, Communication & Efficiently Improving the interaction with the Client.

e-commerce_analysis

Brazilian E-Commerce Public Dataset by Olist

harshg22

Config files for my GitHub profile.

heart-disease-prediction

Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease

ml-code

This Repo Contains Codes for Machine Learning Models

partsunlimitede2e

Code for the Parts Unlimited - VSE2017 Demo

predictive-maintainence-using-data-analysis-and-time-series-forecasting

Predictive Maintenance avoids the drawbacks of Preventive Maintenance (under utilization of a part's life) and Reactive Maintenance (unscheduled downtime). Based on the health of an equipment in the past, future point of failure can be predicted in Predictive Maintenance. Thus, replacement of parts can be scheduled just before the actual failure.