Data Analyst
Location : Bengaluru
Experience : 2 Year
Rate: $14 / Hourly
Availability : More 1 Month
Work From : Any
Category : Information Technology & Services
Ryan Abraham Thomas
Data Analyst
PROFESSIONAL SUMMARY
• Overall experience of 2 years in the Data Analytics Industry.
• Experience in requirement gathering, data wrangling, data manipulation, Machine Learning and visualization.
• Experience in E-commerce Brand Analytics.
• Exposure to project management principles
TECHNICAL SKILLS
• Python
- Data Wrangling & Data Manipulation: Pandas, Numpy
- Data Visualization: Matplotlib, Seaborn
- String Manipulation: Natural language Toolkit(nltk)
- Machine Learning: Scikit Learn(sklearn)
• Dashboards: Power BI
• Data Analytics: MS Excel
EDUCATION
• B.E(Mechanical) from Saranathan College of Engineering affiliated to Anna University (2017-2021).
WORK EXPERIENCE AND PROJECT DETAILS
Project 1: Analyses of Brand Performance using e-commerce data
• Interacted with Business stakeholders to determine the project requirements.
• Used third party tools to scrape data from websites and social media channels.
• Responsible for ETL, standardization and normalization of Data
- Applied scaling techniques, using Scikit Learn(sklearn), for treatment of outliers and normalization of data
- Used language processing techniques, using Natural Language Toolkit(nltk), for extracting new features.
- Created custom functions in Python.
• Performed Exploratory Data Analysis
- To determine features that could provide useful insights to the stakeholders to spot trends & patterns
- Used Cosine similarity to identify the same images from different E-commerce websites for comparative
analysis.
• Built Classification algorithms to predict if products belong to a category, and applied a rule-based system to reduce
the number of incorrectly categorized products.
• Built a dashboard using Power BI to enable users to analyze and evaluate the brand performance across different
marketplaces over a period of time, discover new entrants in the marketplace, and perform comparative analysis.
• Created custom slicers to view only necessary information in the Dashboard, custom calculations using Dax,
established relationships between tables, created drill through options in visuals to view product details.
Project 2: Report on Product Success Rate
● Built a Power BI report which enables users to view the success rate of the products and created visuals that would
enable users to view the contribution made by each attribute of the product to its success rate.
● Created drill through pages to show similar product’s performances in the past by extracting similar images of the
product based on their features.
● Understood the issues faced by users in Power BI and built a solution in a user-friendly way.
● Reports were created accordingly to observe trends and patterns based on different parameters of the sales data.
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Project 3: Identify & Measuring the Strength and Relationships Between Different Variables Using Graph Theory
● Visualization of the correlation of different features in a dataset using networkx library in python. It was created
primarily to show the strength and relationship of the features at a holistic level.
● Analyzed to determine the most influential feature in the data and clustered the closely associated features.
● Picked the nonlinear relationship between variables in the dataset.
● Determined important features in the data with respect to the target variable.
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