Help & Supportcareers@gravityer.com
Data Science enthusiast who believes that the power of data will revolutionize the world.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
House_price_prediction
January 8, 2023 – January 8, 2023
Clustering using algorithms like (Kmeans, hierarchical and DBSCAN), Dimensionality Reduction using PCA and t-SNE, Multivariate Outlier Detection using Isolation Forest and Local Outlier Factor, Regression using GBDT, Classification using RF
View Projectforeign_univ_admission_prediction
January 8, 2023 – January 8, 2023
Regression using Linear Regression
View ProjectCredit_line_Extension
January 7, 2023 – January 30, 2023
Binary Classification using Logistic Regression, Random Forest, Gradient Boosting
View ProjectE-learner_Segmentation
January 7, 2023 – January 7, 2023
K_means, Hierarchical and Manual Clustering
View Projectrecommender_system-movies
January 7, 2023 – January 7, 2023
Collaberative and Content based Recommendation engines.
View ProjectFood_delivery_time_prediction
January 7, 2023 – January 10, 2023
Regression with Artificial Neural Networks and Random Forest
View ProjectEmployee_churn_prediction
January 7, 2023 – January 7, 2023
Classification using Random Forest, GBDT, Logistic Regression
View Projectweb_traffic_forecasting
January 7, 2023 – January 22, 2023
Time series forecasting using ARIMA, SARIMAX and Facebook Prophet.
View ProjectYulu_Hypothesis_Testing
July 22, 2022 – July 29, 2022
Yulu_Hypothesis_Testing — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and primarily focus on applying various machine learning algorithms to standard datasets. While this shows initiative, the lack of team projects, diverse domain exposure, or professional experience limits the assessment of cultural fit and ability to collaborate in a professional setting. The projects align with a Data Scientist role in terms of technical scope but lack real-world context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile only lists technical projects without any work experience or team collaboration details.