I'm Data Scientist
Ravindu
A self-learning, research loving, detail-oriented, & an entrepreneurial Data Scientist with a Genuine Work Ethic with the expectation of helping business entities & people by solving real world problems with Data, which will ultimately lead to a smarter planet.
About Me
Helping People with Data
Developing With a Passion While Exploring The World.
From the University Days, I was in love with Data. I was fascinated to see the power of data. When you have the right set of skills and tools you can do amazing things with data. This is the very reason why I am aspiring to be a well-equipped data scientist so that I can help people and businesses to solve their pressing issues.
I have very good experience in Data Analytics, Model Building and Visualization techniques using Python, R, PowerBI, SQL and MS Excel.
As a person highly benefited from the Free Education System in Sri Lanka, I always try to give back to the society. I have a YouTube channel with over 26,000 subscribers where I share my knowledge on MS Office Package to thousands of people daily.
My Skill Set
Work Experience
- Identified, analyzed and interpreted trends or patterns in complex data sets related to finance and projects.
- Extracted and interpreted data patterns to translate findings into actionable outcomes.
- Utilized data visualization tools to effectively communicate business insights.
- Participated in requirements meetings to understand business needs.
- Tested data prediction algorithms based on historical data.
- Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of the best placement for needed resources.
My Tool Set
NumPy, Pandas, Tensorflow, ML Algorithm Implementations, Sci-kit learn, Seaborn Visualization Library
Data Preparation & Wrangling, Joins, Window Functions, Aggregations.
Data Cleaning, Data Visualization using ggplot2, Tidyverse Package. Shiny Dashboards. Natural Language Processing.
Pulling Data from Various Sources, Data Cleaning using PowerQuery, Data Modelling, DAX
Lookup functions, Summarizing Data with Pivot Tables, Data Visualization, Macros and VBA.
Descriptive Analysis, Regression Analysis and Model Fitting, Statistical Inference, Time Series Analysis, Actuarial Statistics.
Stay In Touch
- Email
— raviabcan@gmail.com - LinkedIn
— https://www.linkedin.com/in/ravinduabey/ - GitHub
— https://github.com/iravindu - Kaggle
— https://www.kaggle.com/ravinduabey - WhatsApp
— +1 (902)-890 2586 - Address
— Truro, NS, Canada