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Utkarsh Harit

@utkarshharit

Data Science Consultant at ACCENTURE (solutions.ai)

Jaipur, India

https://www.linkedin.com/in/utkarsh-harit-035034124

ACCENTURE (solutions.ai)Anand International College of Engineering

Data Scientist with strong technical background and experience in working with predictive modeling, data processing, and data mining algorithms to solve challenging business problems. Highly skilled at Machine Learning, Deep Learning and Data Science and passionate about data. Interested in working on challenging and complex problems through creative thinking and research.

Experience

Data Science Consultant— Data Scientist

ACCENTURE (solutions.ai)

May 2021 - Present

Build insights, high impact data models and act as a subject matter expert. Fine-tune of base GPT-3 model, focusing on enhancing Gen AI accuracy and ensuring consistent outputs on the Azure to improve NLP outcomes. Developed a solution for a NLP based research problem for clients to understand and improve employee’s health and experience. Acquired multiple clients by building solutions for the retail industry to extend audience reach by creating KPIs using recommendation engine, RFM model and statistics on Cloud which were dockerized and deployed on the client's GCP and Azure system. Saved 90% cost by Recommending sales motions for a client with a vast product line. Tech Used - Python, Deep Learning, Data Science, NLP, Azure, GCP, ML, Data Proc, Databricks, Azure SQL, BigQuery

Assistant Manager— Data Scientist

Vaibhav Global Limited

Feb 2019 - Apr 2021

Development, Deployment, Maintenance and Evaluating Benefits of AI based solutions for ShopLC (USA) and TJC (UK) to solve business problems with Predictive Modeling, Data Analytics, Statistical Modeling, Automation and Managing Data Science Lifecycle on Large Datasets. Accomplished 85% accuracy for NLP task of Customer feedback and Sentiment Analysis by using Bi-directional LSTM. Accomplished 90% accuracy for Image Recommendation system for searching similar products from image by using Autoencoders and KNN. Optimization for product scheduling on TV for 24 hrs by using the LightFM recommendation system. Product Comparison tool for comparing product with the competition in the market to acquire new users, retain existing customers by collecting data from 50+ websites using Scrapy framework. Replacement of manual data collection with Competitor Analysis tool for Trend analysis and best product analysis by data gathering from 15+ different Data Sources using Requests. Detecting the effect of Channel Anchor’s expression and speech on sales from live video by Predictive Analysis with Emotion Analysis Tool. Developing a GAN based Jewellery Design Generation model. Tech Used - Python, Deep Learning, Machine Learning, Data Science, NLP, Computer Vision, Web Scraping, Bitbucket

Intern— Data Science Intern

Forsk Technology

Dec 2018 - Feb 2019

Provide Business Solutions to the Forsk Client, Product Development by creative planning and attention to detail, Identifying risks, formulate strategies and Recommending Solutions. Classification of product by hypothesis testing of using Image Features and Product Features as collaborative input into ANN model. Tech Used - Python, Deep Learning, Image Processing, Web Scraping

Research Intern— Scholar

Florida International University

Jun 2018 - Jul 2018

Developed a IOT based project, to demonstrate the difference in calories burnt as the temperature changes, under the technical and resourceful guidance of Dr. Shekhar Bhansali. Tech Used - Python, Internet Of Things

Education

Anand International College of Engineering

Bachelor of Technology

Computer Science Engineering

Grade: 70.6% (Honors)

Licenses & Certifications

AI Professional

DRDO

View Credential

Deep Learning Specialization

Deeplearning.ai

View Credential

Deep Learning, Machine Learning and Data Science

Forsk Technologies

View Credential

Python Django

Ducat

View Credential

Skills

Python
C
C++
Deep Learning
Machine Learning
Data Science
Artificial Intelligence
NLP
IOT
Computer Vision
Web Scraping
Azure
GCP
AWS
Tensorflow
Keras
Pandas
Numpy
Scikit-Learn
Scipy
Open-cv
Spacy
NLTK
Selenium
BeautifulSoup
Request
Pyspark
ANN
CNN
RNN
LSTM
Sequence to Sequence Model
BERT
GAN
Transformers
PCA
Random Forest
Gradient Boosting
Logistic Regression
SVM
Decision Tree
K-Means
Naive Bayes
Time Series Forecasting
MangoDB
SQL Server
BigQuery
Azure SQL
Aurora
MySQL
Django
Scrapy
Spyder
Jupiter
GIT
Py-charm
PowerBI
Sagemaker
Data Proc
Databricks
OOPs
cuda
Multiple GPU
Problem Solving
Team Work
Leadership
Learning