Data Scientist at Impact Analytics, Bengaluru.
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TMDB-box-office-prediction
February 25, 2020 – February 25, 2020
Predict TMDB overall worldwide box office revenue
View ProjectPredicting-click-on-ad-promotion-by-user
February 25, 2020 – February 25, 2020
Build a predictive model that forecasts whether a session involves a click on the ad/promotion would help in extract the maximum out of the huge clickstream data that they have collected
View ProjectAlzheimer-Disease-Detection
February 25, 2020 – February 25, 2020
Alzheimer's disease (AD) is a neurodegenerative disorder of uncertain cause and pathogenesis that primarily affects older adults and is the most common cause of dementia. The earliest clinical manifestation of AD is selective memory impairment and while treatments are available to ameliorate some symptoms, there is no cure currently available. Brain Imaging via magnetic resonance imaging (MRI), is used for evaluation of patients with suspected AD. MRI findings include both, local and generalized shrinkage of brain tissue. Below is a pictorial representation of tissue shrinkage:braintissue Some studies have suggested that MRI features may predict rate of decline of AD and may guide therapy in the future. However in order to reach that stage clinicians and researchers will have to make use of machine learning techniques that can accurately predict progress of a patient from mild cognitive impairment to dementia. We propose to develop a sound model that can help clinicians do that and pre
View ProjectPredicting-Lead-Score
June 25, 2018 – June 25, 2018
In this there is a python notebook . The task is to predict the score or quality of leads generated by marketing team in the company . This helps the sales department to sort the leads and can analyse on which leads they had to hit first . In this Algorithms I had used ---> RandomForestRegressor (Accuracy = 0.678) , Gradient Boosting Regressor (Accuracy = 0.699)
View ProjectPredicting-Employee-Attrition
June 25, 2018 – June 25, 2018
In this there is a python notebook . The task is to predict the future attrition of the employee working in the company . In this algorithms I had used ---> SVM (Accuracy = 0.958) , Random Forest (Accuracy = 0.988) , KNN (Accuracy = 0.952)
View ProjectLoan_Prediction
June 21, 2018 – June 21, 2018
This contains the python notebook for predicting the status of the loan applied by customers that whether it will be sanctioned or not.
View ProjectBig-Mart-Sales-Prediction-
June 21, 2018 – June 21, 2018
This contains the python notebook for predicting the sales of various product items present in the big mart .
View Projectdatasciencecoursera
September 7, 2017 – September 8, 2017
This is a data science coursera repository for project.
View ProjectCultural Fit Analysis
The candidate's projects are all personal and focus on various data science prediction tasks, indicating a self-driven interest in the field. However, the lack of team projects or diverse roles makes it difficult to fully assess cultural fit. The projects align well with a Data Scientist role, demonstrating a foundational understanding of common ML problems.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.