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An entry-level data scientist who loves to build models that can help translate data points into actionable business insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIITDM
Data Scientist
June 17, 2026 – Present
Fyttlyf-Data-Science-Team-Test-Ayush-Awadhiya-
October 9, 2022 – October 9, 2022
Fyttlyf-Data-Science-Team-Test-Ayush-Awadhiya- — GitHub repository
View ProjectCustomer-churn-Prediction-Model-
September 2, 2022 – September 28, 2022
Customer churn prediction model using artificial neural network or ANN. Use precision , recall and accuracy of this model by using confusion matrix and classification report.
View ProjectStore-sales-time-series-forecasting
August 13, 2022 – August 13, 2022
Time series forecasting using Linear Regression,Random Forest,trends
View ProjectBanglore-Home-price-prediction
August 7, 2022 – August 7, 2022
End to end ML model to predict the prices of houses.
View ProjectLoan-Prediction-Model
August 5, 2022 – August 5, 2022
an ml application to predict, weather customer is eligible for loan or not?
View ProjectReal-Estate-Price-Prediction-Website
July 24, 2022 – September 2, 2022
An ml application to predict the banglore home prices.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with the target role. However, the projects are predominantly personal and lack details on team collaboration or real-world impact. There's also a mix of technologies (Java, Dart) outside the core Data Scientist role, which could indicate broad interests but also a lack of focused depth for a senior role. The single listed experience as 'Data Scientist' at 'IIITDM' with a future start date and no end date, marked as current, is unusual and lacks detail for assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, and there are no interview notes or detailed project descriptions to infer these qualities.