Maintain and support data analytics plaforms. Translate business needs to technical specifications. Design,build and deploy BI solutions.
Develop a range of statistical modelling techniques (Linear-logistics Regression, Support Vector Machine, Decision tress, Data sampling etc)
Build database systems of high availability and quality dependance. Design and implement database in accordance to end user's information needs.
Hands-on-experience with modern programming languages. Website design and development, data analysis, machine learning and database design. Course Oulines
An E-commerce company based in New York City sells clothing online but they also
have in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they
can go home and order either on a mobile app or website for the clothes they want.
This company is trying to decide whether to focus their efforts on their mobile app
experience or their website. They've hired you on contract to help them figure it out!
Soluton at Github Repository
Welcome to the Machine Learning Housing Corporation! Your first task is to use California census data to build a model of housing prices in the state. This data includes metrics such as the population, median income, and median housing price for each block group in California. Block groups are the smallest geographical unit for which the US Census Bureau publishes sample data (a block group typically has a population of 600 to 3,000 people). We will call them “districts” for short. Your model should learn from this data and be able to predict the median housing price in any district, given all the other metrics. Soluton at Github Repository
Predicting the Sale Price of Bulldozers using Machine Learning. How well can we predict the future sale price of a bulldozer, given its characteristics and previous examples of how much similar bulldozers have been sold for? Note: The goal for most regression evaluation metrics is to minimize the error. For example, our goal for this project will be to build a machine learning model which minimises RMSLE. Soluton at Github Repository
Intro: Breast cancer develops as a result of genetic mutations or damage to DNA.
These can be associated with exposure to estrogen, inherited genetic defects,
or inherited genes that can cause cancer, such as the BRCA1 and BRCA2 genes.
When a person is healthy, their immune system attacks any abnormal DNA or growths.
As a data Scientist, we are to create a model that Predict if the cancer diagnosis is benign or malignant based on several observations/features.
- Malignant
- Benign
Quality of Wine for consumption
Using machine learning to determine which physiochemical properties make a wine 'good'!.
Soluton at Github Repository
A bright, oriented and self-motivated Data Scientist with experience in interpreting, analyzing and predicting data in order to drive successful business solutions. Proficient knowledge in statistics, mathematics, programming and analytics. Excellent understanding of business operations and analytics tools for effective analyses of data. Passionate about providing high quality, cutting edge research and have an understanding of the complex profile of consumers and how business can tap directly into their habits, aspirations and attitudes. Able to play a key role in querying database and come up with creative solutions as well as producing methodologies and files for effective data management. A quick learner who can absorb new ideas and can communicate clearly and effectively.
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