CS Graduate | Former Research Intern@ IIITD | Machine Learning enthusiast |
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Microsoft-Malware-Prediction
February 20, 2019 – February 20, 2019
This project evaluates Windows machines on network as well as individual hardware aspects to compute probability of a potential malware attack.
View ProjectLiteracy-Analysis-Dashboard
October 4, 2018 – November 2, 2018
Literacy-Analysis-Dashboard — GitHub repository
View ProjectMachine-Learning
November 30, 2017 – November 30, 2017
Machine-Learning — GitHub repository
View ProjectInterviewPrep
November 17, 2017 – November 8, 2018
Interview Problems for Product Based Companies
View ProjectData-Structures-Algorithms---JAVA
August 17, 2017 – August 17, 2017
Data-Structures-Algorithms---JAVA — GitHub repository
View ProjectStory-Generator
August 2, 2017 – August 2, 2017
It is a story generator which takes user input for multiple nouns , adjectives ,verbs in a specific order , and generates a story .
View ProjectLeo_Messi
April 26, 2017 – April 26, 2017
A single screen application which primarily contains a LinearLayout consisting of multiple TextViews and an Image View.
View ProjectCourtCounter
April 26, 2017 – April 26, 2017
This application keeps score of two teams playing a basketball game.
View ProjectCookies
April 26, 2017 – April 26, 2017
This application emplys a button to switch between two ImageViews.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and cover a range of basic programming tasks (Java, C++) alongside some data science related work. While there's an alignment with the 'Data Scientist' target role through specific projects, the overall breadth of projects suggests an early-career stage rather than a senior-level fit. The diversity of projects indicates a willingness to explore different areas, but depth in any single area is not evident from the descriptions. The lack of professional experience or team projects makes it difficult to assess cultural fit beyond a general interest in technology.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.