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University of Maryland
Data Scientist
June 28, 2026 – Present
Dubizzle_Clone_SwiftUI
July 9, 2024 – July 9, 2024
Dubizzle_Clone_SwiftUI — GitHub repository
View ProjectSwift_app_Images_to_cloud
April 1, 2024 – April 23, 2024
Swift App: Images to Cloud This Swift project aims to provide a seamless solution for uploading images to cloud storage directly from an iOS app. With this application, users can easily capture images using their device's camera or select existing images from the photo library and upload them to a cloud storage service such as Firebase Storage.
View ProjectSpark-Foundation-Task-3
September 17, 2020 – September 17, 2020
Using K-means clustering,From ‘Iris’ dataset, predicting the optimum number of clusters and represent it visually.
View ProjectSpark-Foundation---Task2
September 10, 2020 – September 17, 2020
We will predict the percentage of marks that a student is expected to score based upon the number of hours they studied using LINEAR REGRESSION.
View ProjectCropyield-Prediction
September 2, 2020 – September 2, 2020
Predicting crop yield by analysing the production from 2000 to 2014 across 29 states and 7 union territories by taking around 242000+ samples and with all the suitable crops using CLUSTERING and REGRESSION.
View ProjectWeather-Prediction
September 2, 2020 – September 2, 2020
Weather Prediction whether it rains by taking wind speed,maximum and minimum temperature,humidity using Logistic regression
View ProjectDiabetes-prediction
September 2, 2020 – May 9, 2024
Analysing the parameters from 768 patients such as glucose levels,insulin levels, blood pressure,BMI,age,skin thickness,diabetes pedigree function, we are predicting the outcome using LOGISTIC REGRESSION.
View Projectcovid-19-prediction
September 2, 2020 – September 25, 2020
A complete Django web application on COVID-19 time series outbreak prediction.By analysing daily confirmed,daily deceased,total deceased.We are going to predict total confirmed and total deceased using multi linear regression.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong interest in data science and machine learning, which aligns with a Data Scientist role. However, there is also a significant number of mobile development projects (Swift, Dart, Java, Kotlin) which, while demonstrating versatility, might indicate a broader interest beyond the target role or a lack of focused specialization. The experience level of 0 and the future-dated role make it difficult to assess real-world collaboration or cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed experience is a current Data Scientist role at the University of Maryland starting in the future (2026-06-28), which suggests this is a placeholder or future role. No psychometric test results are available.