Chaitanya Kaul
Data AnalystData Analyst | United Airlines
United Airlines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst | United Airlines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
United Airlines
Data Analyst
June 13, 2026 – Present
IPL_score_prediction
November 25, 2020 – November 25, 2020
IPL_score_prediction — GitHub repository
View ProjectNYC-Taxi-Fare-Problem
September 2, 2020 – September 2, 2020
NYC-Taxi-Fare-Problem — GitHub repository
View ProjectFlight_Fare_Prediction
July 6, 2020 – June 22, 2022
Aim of the project is to predict the fare of the flight.
View ProjectCar_price_prediction
July 1, 2020 – December 8, 2022
Car_price_prediction — GitHub repository
View ProjectFake-News-Classifier-using-LSTM
June 21, 2020 – June 22, 2020
Fake-News-Classifier-using-LSTM — GitHub repository
View Projectmovie-recommendation-system
June 3, 2020 – June 3, 2020
movie-recommendation-system — GitHub repository
View ProjectCredit-Card-Fraud-Classification
May 12, 2020 – May 12, 2020
Creating and comparing accuracies of different machine learning classification models to classify whether a transaction is fraud or not on imbalanced dataset. Imbalanced datasets are those where there is a severe skew in the class distribution, such as 1:100 or 1:1000 examples in the minority class to the majority class
View ProjectDIABETES-PREDICTION
May 9, 2020 – May 9, 2020
Predicting if a person has Diabetes or not using Logistic Regression Classifier
View ProjectHeart-Disease--Classification
May 8, 2020 – May 8, 2020
We have a data which classified if patients have heart disease or not according to features in it. We will try to use this data to create a model which tries predict if a patient has this disease or not. We will use logistic regression (classification) algorithm.
View ProjectTitanic-Disaster
May 8, 2020 – May 8, 2020
The aim of the project was to predict which passengers survived the Titanic Disaster. The type of machine learning we will be doing is called classification, because when we make predictions we are classifying each passenger as ‘survived’ or not.
View ProjectCultural Fit Analysis
The candidate's projects are diverse within the realm of machine learning and data analysis, indicating a broad interest in problem-solving. However, the projects are all personal and lack team collaboration aspects, which might impact cultural fit in a collaborative environment. The experience level is listed as 0, which contradicts the current Data Analyst role, suggesting a potential mismatch in self-assessment or a very recent entry into the role. The target role of 'Data Analyst' aligns with the current job title and project focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.