Hartej Kathuria
Data Analyst Intern Oracle Retail
Bengaluru, Karnataka Email me on Indeed: deed.com/r/Hartej-kathuria/04181c5962a4af1
Willing to relocate to: Delhi Bangalore, Karnataka Gurgaon, Haryana
WORK EXPERIENCE
Data Analyst Intern
Oracle Retail Bengaluru, Karnataka
June 2017 to Present
Job Responsibilities:
O As an intern part of the Global Retail Insights team at Oracle Retail,
work involved creating a data oriented buisness case based using high
level trends for various retailers using Excel and SQL.
O Forecasting Sales with use of various statistical Modelling Methods
using SQL and R
O Market Basket Analysis using transactional data of retailers using SQL and R
EDUCATION
Statistics and Probability
Manipal University
May 2018
B. Tech in Electrical and Electronics in Embedded Systems
MIT, Manipal University
May 2016
SKILLS
Python (2 years), SQL. (1 year), NOSQL (1 year), R (2 years), Machine Learning (2 years)
PUBLICATIONS
Post-operative life expectancy in lung cancer patients
The objective of the project was to build an efficient predictive model based
on a predefined dataset to predict whether the patient survives or dies within one year of the
operation. The dataset given has 17 variables: 12 nominal, 2 ordinal and 3 numerical The target
variable has value true if the patient dies within one year of the operation else false if he survives.
Tool used: R
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Predict the Happiness (Sentimental Analysis)
The objective of this project was to build a binary classifcation model for the data provided by
TripAdvisor consisiting of a sample of hotel reviews provided by customers. The model built can
be used by them to understand the hotels
listed by them. them.Tool .Tool Used: R
Predict Network attacks
The objective of this project was to build a multi-class classification model to predict the type of
attack for an internet network company in Japan which has
been facing huge losses due to malicious server attacks.Th train dataset has
18 numerical features and 23 categorical features. The target variable has
three classes. Used: Python
ADDITIONAL INFORMATION
TECHNICAL SKILLSET
Languages & Technologies: Python, R, SQL, NoSQL, Predictive Modelling,
Market Basket Analysis, Sentimental Analysis, Clustering, Bash
Scripting (Preliminary), Socket Programming, Java (Preliminary)
Tools: R Studio, Jupyter, GIT, Sublime, MATLAB, Linux, KVM, Virtual Box,
Open VZ, Oracle SQL Developer, MySQL, MongoDB, Excel