ac8gar@r.postjobfree.com

linkedin.com/in/jain-nehal

Singapore

Data Scientist/Analyst +65 8535 2172

Strategising on how to solve business problems by leveraging data. ac8gar@r.postjobfree.com

WORK EXPERIENCE PERSONAL PROJECTS

Data Science Intern

HP, Singapore Aug 2018 - Present

Predictive Maintenance, to prevent machine

failures during production: Used Survival

analysis techniques to predict the time until

failure event.

- Created a dashboard using R shiny for showing

utilisation of the machine part, to help the

operators schedule the maintenance.

Smart Vision, Custom Object Detection,

using AWS Deep Lens: Using various AWS

Services like S3, Sage Maker, Deeps Lens.

- Deploying a smart vision solution for a printer

assembly line, to detect a component.

Research & Data Analyst, Level 2

Opera Solution, India July 2015 - April 2017

Worked on analysing purchasing habits and

spend passion for 6th largest credit card

company and provide rewards programs.

Worked on Analysing and pointing out fraudulent

merchant machines for leading US multinational

financial services.

Customer driven personalised campaigns for

one of the top three mobile network service

which covered churns, X-sell, up-sell.

EDUCATION SKILLS

Predicting value and best position(s) for a

FIFA player - Using Feature Engineering, PCA,

SVR, Multinomial Logistic regression

Gender Recognition - Using TensorFlow, keras,

data augmentation

Predicting genre and popularity of a song -

Using PCA, K-means Clustering, multi-nominal

regression

Document Classification using text mining -

Using Trend Analysis, Clustering, Topic

modelling, Geo-tagging and visualisation, bag of

words.

Insights into Diabetes in Singapore - Using

Data Visualisation using Tableau, Data modelling,

GQM analysis.

Classifying credit card customer based on

spend - Using Multi-class linear SVM classifier.

News popularity - Using MLFF and RBF

network architecture, ensemble modelling

predicted the popularity of a news report.

Sports Analytics Hackathon, Analytics Vidhya

- Data transformation and feature engineering

using pandas and ANN to predict the runs,

wickets and outcome of each match.

Shoppe data set Hackathon, Yale NUS -

Generated insights using Data visualisation, time

series analysis.

Knowledge Engineering (AI and Data Science)

NUS, Singapore Jan 2018 - Present

Courses

Computational Intelligence

Text Mining

Web Analytics

IOT

Machine Vision

Date Warehousing for BA

Data Mining Methodologies

Customer Relationship Management

B.Tech in Electronics & Communications

BVCOE, India July 2011 - July 2015

Quantitative Analysis Predictive Modelling

Data Analysis Visualisation Machine Learning

Deep Learning

AWS

INTERESTS

Volunteering, Gaming, Cricket, Swimming, Travelling Machine Vision SQL Python

R

NLP

Text Mining Web Scraping

SAURABH SEMWAL

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