A data enthusiast, Completed PGP-BABI, Pursuing PGP-AIML, Proficient with R, Learning Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Automatic-Ticket-Classification
August 23, 2021 – February 1, 2024
UTAustin-IITB-PGAIML Capstone project for the Post Graduate Program in Artificial Intelligence and Machine Learning designed by leading academic and industry experts with IIT-Bombay faculty recognised by The University of Texas at Austin and Great Lakes University. Facilitated by GreatLearning.
View ProjectSemiconductor-manufacturing-process
March 6, 2021 – March 6, 2021
Build a classifier to predict the Pass/Fail yield of a particular process entity and analyse whether all the features are required to build the model or not.
View ProjectCustomer-flight-satisfaction-prediction
February 26, 2021 – February 26, 2021
The data at hand is of flight satisfaction survey along with the customer flight information, the task at hand is to build a model that predicts satisfaction/dissatisfaction given the various attributes
View ProjectOnline-Retail-Data-Analysis
February 22, 2021 – February 22, 2021
This Online Retail data set contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011.
View ProjectCredit-Card-Fraud-Detection
February 18, 2021 – February 22, 2021
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Here, the aim is to analyze the dataset and detect the fradulent transactions.
View ProjectCalifornia-Housing-Price-Prediction
February 16, 2021 – February 16, 2021
The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict median housing price.
View ProjectUnsupervised-Learning
February 10, 2021 – February 10, 2021
5 Projects based on Unsupervised learning
View ProjectDiagnosing-Parkinsons-disease
January 14, 2021 – February 19, 2021
Goal is to classify the patients into the respective labels ( Healthy/ Parkinson) using the attributes from their voice recordings
View ProjectTaiwan-Credit-Card-Default
October 22, 2020 – February 22, 2021
A data set of 30000 records and 24 variables containing information on defaults, demographic factors, credit data, delinquency, repayment and billed amounts of a credit card client in Taiwan from April 2005 to September 2005. The objective was to apply statistical, data visualization and Machine learning techniques (supervised and unsupervised) on the data set to come up with insights and recommendations that could have been used to control bad debts.
View ProjectCreation-of-an-India-Credit-Risk-Default-Model
October 22, 2020 – October 22, 2020
The project involved developing a credit risk default model using a given data which had to be checked for outliers, missing values, multicollinearity etc. Univariate and Bivariate Analysis had to be conducted and the model had to be built using Logistic Regression on most important variables. Model Performance Measures were undertaken that included predicting the accuracy of the model on certain datasets.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on data science and machine learning, aligning well with a Data Scientist role. The diversity of projects (housing price prediction, credit risk, fraud detection, medical diagnosis) indicates a broad interest in applying data science across different domains. However, the projects are all personal and lack details on team collaboration or real-world impact, which limits the assessment of cultural fit in a professional team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.