
Flutter | Express.js
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cleancli
December 28, 2024 – February 16, 2025
cleancli is a command-line tool build using golang designed to simplify the creation of flutter boilerplate code for projects following the Clean Architecture pattern
View Projectml_data_processing_guide
February 25, 2024 – February 25, 2024
Simple notes for data pre preprocessing & EDA in ML/Datascience
View Projectmangadex-app
May 15, 2021 – August 21, 2021
App Implementation of MangaDex v5 API using Flutter.
View Projectchat-app-flutter
June 16, 2019 – October 1, 2020
It's a fully functioning chat app built using flutter. With both one on one chats and group chats
View ProjectTv-DB-flutter
June 11, 2019 – June 11, 2019
It's a tv guide app created by using flutter and tmdb api for the data
View ProjectBugTrackerFlutter
January 15, 2019 – January 15, 2019
It's a BugTracking application built using Flutter and dart which uses graphql server as a backend.
View ProjectMERN-CRUD-React-Native
September 4, 2018 – September 4, 2018
It's a simple react native app using expressJs and NodeJs as it's back end and MongoDb as the database and can perform CRUD operation.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on mobile and web development, with a single project related to 'ml_data_processing_guide'. This indicates a potential interest in data science, but the breadth and depth of data science specific projects are limited. The target role is 'Data Scientist', but the majority of projects do not directly align with core data science responsibilities (e.g., advanced statistical modeling, machine learning algorithm implementation, big data processing). This suggests a moderate cultural fit, with a need for further validation of data science specific experience and passion.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.