Puru Dhiman

Computer Science Graduate

A goal oriented CSE Graduate with an aim to get placed in a good, reputed company with motive to achieve the name, top position and respect in the organization and never stop learning at any stage of career by keeping up with the cutting edge of technologies. adm3dm@r.postjobfree.com

+91-858*******

Haryana, India

SKILLS

R Programming SQL

Machine Learning

HTML & CSS

Fundamentals of

Statistics

Web Analytics Excel

Data Analytics

LANGUAGES

English

Hindi

Punjabi

INTERESTS

Video Games

Artificial Intelligence

Music

EDUCATION

B.Tech (Computer Science Engineering)

Manav Rachna International University

08/2015 - 05/2019, 5.8 CGPA

XII (Senior Secondary), Science

Tagore Academy Public School

2014 - 2015, 7.9 CGPA

INTERNSHIPS

Data Analyst Trainee

Paisabazaar.com

02/2020 - 05/2020, Gurgaon, Haryana

Gathered information from databases and compiled them for various data operations Data wrangling of unwanted data for further analysis Used Statistical Techniques using statistical packages like R, SQL to find trends in data & automated the reports

Contact: Pankaj Kumar Soni - +91-995*******

CERTIFICATES

Data Analyst in R (DataCamp) (03/2020 - 05/2020)

Learned how to import, clean, manipulate, and visualize data in R using real world datasets. From Data to Insights with Google Cloud Platform (Coursera) (08/2019 - 09/2019) Learned how to derive insights from an e-commerce database through Google BigQuery using GCP. PERSONAL PROJECTS

Web Analytics using SQL (02/2019 - 03/2019)

Traffic Analysis &Optimization - Used MySQL to analyze where the website traffic is coming from, how different sources perform in terms of traffic volume and conversion rates Website Measurement &Testing -Dived into page-level website data to build and analyze conversion funnels to help optimize the customer purchase experience Channel Analysis &Optimization -Dived into traffic channel mix, explore paid vs. free traffic, break down performance by device type, and wrote advanced SQL queries to conduct some time-series analyses to understand trending and seasonality

Product & User Analysis -Used MySQL to break down product-level sales and conversion rates, analyze cross-selling patterns, and use refund rates to keep a pulse on quality, also took a closer look at user behavior and repeat sessions

Health Insurance Predictive Model (Case Study)

Used patient data to develop a model for predicting medical expenses of the population using Multiple Linear Regression

Credit Approval Model (Case Study)

Used a large number of past bank loans to predict risky bank loans using Decision Tree Algorithm Breast Mass Abnormality Model (Case Study)

Used K-NN Algorithm to predict whether the mass is likely to be malignant or benign Achievements/Tasks

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