
Striving for excellence in solving business problems with AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Model-Monitoring
May 7, 2023 – May 7, 2023
Let's talk Precision, Recall, F1 score, Reject Rate, PSI, CSI, KS and Gini along with their python implementation
View ProjectML-based-feature-selection
July 8, 2022 – July 12, 2022
This notebook is a one stop shop for ML based feature selection for classification purpose. Once the master data is prepared, we can use this notebook to try out 8 feature selection techniques and combine their results
View ProjectData-Scientist-for-Enterprise-Nanodegree-Program
June 12, 2021 – June 12, 2021
This repository has the solutions to multiple assignments done during the course on topics like supervised leering, deep learning
View ProjectPredicting-fit-of-a-candidate-for-a-job-using-tree-based-models
June 12, 2021 – June 12, 2021
We use multiple Tree boosting models and compare their performance to calculate the fit percentage of a candidate for the job they apply for. Also try to handle categorical methods using various methods.
View ProjectUnsupervised-ML-Modelling-for-Segmentation
November 8, 2020 – June 12, 2021
Python Implementation of multiple unsupervised segmentation models and evaluating them through multiple evaluation metrics
View ProjectPredictive-Excellence-Engine
September 28, 2020 – June 12, 2021
In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models and employ several algorithms to perform feature engineering and selection on a multivariate time series dataset.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on core data science techniques. This aligns with a foundational understanding required for a Data Scientist role. However, the lack of team-based projects or diverse industry applications limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a self-starter attitude in exploring various ML topics.