Asha Sanjeev Kurup
Melbourne 3174 |- |-| https://www.linkedin.com/in/ashakurup15/
EXECUTIVE SUMMARY:
An experienced Data Analyst with a Master’s degree in Data Science who brings solid demonstrated knowledge in gathering, wrangling, modelling and prediction of data. Possesses impeccable communication, multitasking and interpersonal skills. Looking for a suitable role as a Data analyst
Core Competencies:
Python
Data Wrangling
User Experience Design
R Programming
Data Preparation
Statistics
Relational Database
Data Mining
Microsoft Excel
SQL
Data Visualization
Business Intelligence
Machine Learning
Data Quality
Data Analysis
PROFESSIONAL EXPERIENCE:
Data Analyst, The Financial Fox Nov ‘19 - Present
Melbourne, Australia
The Financial Fox is a data scientist project team that is working in the start-up ecosystem to promote the significance of data to other players in the market. Working with 30+ other driven data scientists, I performed the following duties:
Performed data extraction and data integration of demographic and transactional data as a part of data preparation.
Wrangled the integrated data for Data Visualization to draw insights on customer demographics and buyer behavior.
Executed in-depth analysis to detect patterns to develop better synergies between the sales and marketing teams.
Created and presented dashboards to clients for tracking key performance indicators (KPIs) to improve sales performance.
Tools used: Python, R, Microsoft Excel, Tableau and Microsoft Power point
Business Analyst, Pink Digital Nov ‘18 - Jan ‘19
Melbourne, Australia
Pink Digital is an international digital marketing and advertising firm that specializes in cost effective methods of marketing. As a Business Analyst my essential responsibilities include:
Engaging with multiple different stakeholder groups to identify and prioritize functional and non-functional requirements for enterprise technology systems.
Worked with technical teams and subject matter experts to ensure that requirements are realistic, with achievable solution options available
Designed landing pages using instapage for online marketing and promotion campaigns.
Created campaigns using Google Ads and utilized Google analytics tool to drive conversions and traffic.
Serve as the conduit between the customer community around the world and the software development team for the conversion of business needs into functional designs.
Tools used: Google Adwords, Google Analytics, Microsoft Excel, Instapage, SEMrush
Storage Solutions Consultant, Hewlett Packard Enterprise Sept ‘14 - Nov ‘17
Bengaluru, India
Hewlett Packard is an American multinational company which is a global leader in enterprise technology. My essential duties include:
Work hands-on with customers and consultants to demonstrate and communicate best practices of implementation for storage boxes like MSA, EVA, 3PAR.
Provide guidance on how to resolve storage specific technical challenges on a daily basis.
Collaborate with Server and Networking teams to continuously improve storage products.
Monitoring and administering a set of storage boxes that are critical in client’s production environment.
Tools used: Salesforce, Microsoft Excel.
EDUCATION:
Master of Data Science, Monash University Feb ‘18 - Dec’19
Melbourne, Australia
Projects:
Suicide Analysis in Australia using past 5 years data
1. Performed data wrangling, exploration and visualisation to find the most contributing factors for suicide in Australia
2. Created a R Shiny dashboard which shows suicides across gender, regions and presented the results to the faculty members.
Tools used: Python, R
Predicted top 200 Customers who are liked to buy a Caravan
1. Used Feature engineering methods like Correlation, Lasso and forward selection methods to reduce the dimensionality of variables.
2. Compared logistic regression, LDA and Naïve Bayes algorithms against accuracy and sensitivity to determine the best model.
Tools used: R
Sentiment Analysis on Product Reviews
1. Used Feature engineering methods like TFIDF vectorizer and count vectorizer to determine the importance of words in a document after text pre-processing.
2. Compared Logistic regression, Linear SVM and Naïve Bayes algorithms against cross- validation score to determine the best model
Tools used: Python
Bachelor of Engineering in Electronics & Communication, VTU Jul ‘10 - Aug’14
Bengaluru, India
SKILLS:
Certification: “Data Science with R” from Jigsaw Academy, “Introduction to Python” from Data Camp, “Advanced Excel” from Infiniteskills
Achievements:
Received FERIT scholarship from Monash University
Led the Project group during final year of Engineering and won 1st place for Presentation skills
Completed Bachelors of Engineering in Electronics & Communication with a WAM of 80% and was among the top five students of the college
Received multiple appreciations from clients for being friendly and effective.
