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Shawn Rahul D'Souza

Learning All Things Data

Hello!

​It's amazing that you got here to see the things that I have done! From content writing to visual analytics, I am avidly learning to show the wonderful world from a different perspective.

 

 
 
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PROFESSIONAL EXPERIENCES
EXPERIENCE
October 2021 - Present

Business Intelligence Analyst

FORBES MEDIA

Building insights that have a significant impact within the subscription platform.  

January 2021 - October 2021

Data Analyst

FLATIRON SCHOOL

Surfaced data and dashboards. Built a predictive model to observe engagement metrics on the platform.

February 2020 - May 2020

Data Science Graduate Capstone

PFIZER

Built an analytics platform that assesses the Quality Tracking System (QTS) records and provides insights through an interactive dashboard.

September 2019 - December 2019

Businesss Intelligence Intern

CBS INTERACTIVE

Seized key metrics from over 1.2 TB of data that play a vital role in building the retention model defining customer behavior in CBS SportsLine. Coordinated with stakeholders to discover potential insights to augment the predictive model.

July 2018 - August 2018

Blockchain Analyst

SPIRITWISH

Highlighted several detailed summaries of blockchain applications within the cryptocurrency environment. Encouraged budding learners on the various perspectives within the global blockchain market.

March 2018 - April 2018

Editor

TARGET ADMISSION

Created 4 insights per week for an education portal by delivering useful tips on competitive examinations on the top institutions in India. This platform inspired aspiring students towards their academic goals.

January 2018 - February 2018

Online B2C Marketer

SPIDER INNOVATIVE TECHNOLOGIES

Analyzed the online growth of a number of small businesses through brand promotion via social media marketing. Boosted sales of multiple B2C companies by over 7 %.       

January 2017 - March 2017

Content Writer

CONTENT PLANT

Created 10 eye-catching articles per week to help companies find their brand presence using content marketing strategies through SEO metrics. Emphasized key analytical metrics that encourage ad growth.​

EDUCATION
EDUCATION
SKILLS
SKILLS

Languages

Spoken Languages:

 

English

French

Konkani

Hindi 

Arabic​​​​

Coding Languages:

Python

R

SQL

Java

Node.js

Bathroom Singing
Content Writing
Machine Learning 
Programming
Applied Statistics
Data Analytics

Master: I know this better than the back of my hand.

High: I am quite good at this.

Medium: Give me 5 minutes.

Basic: Let me search that up.

Analytics:

 

Google Analytics

Microsoft Power BI

Tableau

Minitab

Excel

Salesforce

 

 

 

 

Certifications and Badges

Salesforce Mountaineer Badge                                              Ongoing

NJIT Leadership Development Program Certificate            April 2019

IBM Watson Cloud Foundations                                            February 2019

Google Analytics Individual Qualification                             January 2019

Bloomberg Market Concepts (BMC)                                     December 2018

 

 

2018 - 2020

Master of Science

DATA SCIENCE

New Jersey Institute of Technology

2014-2018

Bachelor of Engineering

COMPUTER SCIENCE AND ENGINEERING

St. Joseph Engineering College

2012 - 2014

High School

SCIENCE STREAM

GEMS Modern Academy

PROJECTS
PROJECTS
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Global Happiness Analysis

A five-person team that analyses the global happiness index from quantifiable metrics to classify countries and derive knowledgeable results.

Medical Data Analysis 

Developed a regression model to classify the genomic data of over 20,000 patients to analyze the likelihood of cancer using scikit-learn. Built statistical models to predict potential patients.

SQL, Tableau, Python, Excel
Python
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Medical Journal Scraping

A four-person team that extracted relevant information form several medical journals to find specific data metrics.

R
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Flight Pattern Analysis

Derived insights based on the flight patterns between 1987-2008 using Big Data methodologies.

Apache MapReduce, Oozie
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Virtual Assistant for a Grocery Store using NLU

A two-person team that creates an interactive assistant using Natural Language Understanding in a virtualized grocery store. 

Node.js, Google Dialogflow, Google Firestore
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Data-Driven Blogs

A series of blogs where I uncover something new.

EDA
Streamlined EDA and ML

Built a no-code platform to perform exploratory data analysis and Machine Learning concepts.

Python, Streamlit
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