About me
Seeking opportunities to capitalize my analytical knowledge and abilities in the field of data science. A self-motivated Big Data Science graduate with varied experience in start-up (as Data Analyst) and in big organisations, able to work on own initiative or as part of a team with excellent analytical, organizing and leadership skills.
Work history
Data AnalystSPOKE
- United KingdomFull Time
Data AnalystSPOKE
- Richmond, United KingdomFull Time
● Strategy: Worked with data team as part of SPOKE growth team to perform exploratory and statistical analysis to reveal trends and understand customer behaviours to draw insightful conclusions that improved performance.
● Analytical skills: Analysed and produced comprehensive reports on customer returns, the affinity between the products purchased during successive orders and customer purchase history to optimise customer experience, to improve marketing strategies, and growth.
● Data skills & Projects: Organized and analysed customer behaviours resulted in successful customer segmentation project (demographic behavioural) to personalise data-driven marketing, built out a picture of different customer segments which helped in planning customer acquisition, retention, and engagement campaigns. Customer Lifetime Value prediction model for all the customers to analyse the repeated purchase pattern made by the customers over their own lifetime.
+ Show more
Skills
- Data Analysis
- Machine Learning
- Data Visualisation
- Python
- Customer Analysis
- SQL
- Data Insights
- Detail Oriented
- Data Research
- Adaptability
Education
MastersQueen Mary University of London
- London, United Kingdom
Grade : First Class with Distinction
Relevant Modules:
Applied Statistics, Data Mining, Data Analytics, Deep Learning, Big Data Processing, Digital Media and Social Networks, Machine Learning and Cloud Computing.
Technical Systems Used:
Python, Weka, R, MATLAB
Coursework:
Data exploration and Modelling a car-price predictor with WEKA, Regression and Classification Analysis, Design and testing image resolution with SRCNN algorithm using Tensorflow, Implementation of basic GAN using Tensorflow.
Projects:
● London housing data analysis and price prediction with python:Collected the necessary raw data by web scraping real estate websites, did the primary exploratory analysis and identified hidden trends and patterns. Targeted to build a model that can predict the price of a property by giving in the attribute that shows high correlation value to the output price using the Machine learning algorithms in Python (libraries involved NumPy, Pandas, scikit-learn).
● Ethereum transactions and smart contract analysis,COVID-19 app:A cloud application prototype developed in Python and Flask.This app makes use of a REST API service to get the daily statistics of COVID-19 and the application is deployed in the AWS EC2 instance.
● FIFA – world cup 2018 match networks analysis:The main purpose was to test the ubiquitous belief that offensive football strategies as opposed to defensive football strategies result in successful outcomes, using the most current datasets of the World Cup 2018 competition.
Dissertation:
BESPOKE FIT FINDER, Trouser size recommendation using machine learning methods:This project emphasized on seeking a classification-based recommendation model that recommends the trouser size as per customer information. Focused to help consumers visiting the company website by suggesting right size based solely on customers' input about their body measurements through a questionnaire thus offering perfect fitting pants.
C
C
B.TechCollege of Engineering Trivandrum,University of Kerala
- India
Grade : 7.27/10(equivalent to first class)
Relevant Modules:
Pattern Recognition, Digital Signal Processing, Industrial Management, Engineering Mathematics.