
Data Science Professional Interested in Real Life Challenges
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Assessing your cultural and operational fit
Banking_Term_Deposit
July 9, 2018 – July 9, 2018
Banking_Term_Deposit — GitHub repository
View ProjectEcommerce-Image-Detection
June 29, 2018 – June 29, 2018
Ecommerce-Image-Detection — GitHub repository
View ProjectIDV_MaskRCNN_Image_Segmentation
June 23, 2018 – June 23, 2018
IDV Segmentation Example This is an example showing the use of Mask RCNN in a real application. We train the model to detect Idly Vada Dosa , and then we use the generated masks to predict the new images.
View ProjectJBM-Damage-Detection-AI
June 9, 2018 – June 14, 2018
The Project is regarding classification of damaged spare parts using deep learning
View ProjectSolar-Power-Prediction
June 7, 2018 – June 26, 2018
The increasing demand for energy is one of the biggest reasons behind the integration of solar energy into the electric grids or networks. To ensure the efficient use of energy PV systems it becomes important to forecast information reliably. The accurate prediction of solar power variation can enhance the quality of service. This integration of solar energy and accurate prediction can help in better planning and distribution of energy.
View ProjectText-Classification-Using-Deeplearning
June 7, 2018 – June 26, 2018
Being anonymous over the internet can sometimes make people say nasty things that they normally would not in real life. Let's filter out the hate from our platforms one comment at a time.
View ProjectCLV-Auto-Insurance
June 7, 2018 – June 26, 2018
A major non-life insurance company wants to evaluate customer lifetime value based on each customer’s demographics and policy information including claim details. The CLV is a profitability metric in terms of a value placed by the company on each customer and can be conceived in two dimensions: the customer`s present Value and potential future Value.
View ProjectHospital-Readmission
June 7, 2018 – June 7, 2018
The major drawback in the health care industry when coming to medical facilities is that when a person who was been discharged after treatment and readmits to the hospital with in a stipulated amount of time. This leads to severe image damage of the hospitals. In order to avoid the readmission of the treated patient with in that time period we will be going to make a model to predict the readmission of the patients. So, that a proper action can be taken in order to take a precautionary action to reduce the patients from readmitting.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of applications for data science, from computer vision to predictive analytics and natural language processing. This breadth indicates an adaptable and curious mindset, which could contribute positively to a team. However, all projects are personal, and there is no information on collaborative work or professional experience, making a full cultural fit assessment challenging. The target role is 'Data Scientist', and the projects align well with the technical requirements of such a role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to identify real-world problems and apply data science techniques to solve them, suggesting problem-solving aptitude.