
Data Scientist
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Assessing your cultural and operational fit
IBM
Data Scientist
June 20, 2026 – Present
Deep-Learning-with-Python-F.Chollet
July 22, 2022 – July 23, 2022
Deep-Learning-with-Python-F.Chollet — GitHub repository
View ProjectKaggle---Hand-drawn-Sketch-Recognition
October 6, 2019 – October 6, 2019
Assignment of Machine Learning course (COL-774) at IIT Delhi, Spring 2018.
View ProjectB.Tech.-Project
September 7, 2018 – January 7, 2019
Incorportating Semantics in Knowledge Graphs
View ProjectWireless-Mesh-Network-Based-Sound-Detection
April 20, 2018 – May 2, 2018
Wireless-Mesh-Network-Based-Sound-Detection — GitHub repository
View ProjectExam-Timetabling-Problem
March 30, 2018 – March 30, 2018
Exam-Timetabling-Problem — GitHub repository
View ProjectCOL362-Assignment-1
January 22, 2018 – May 11, 2018
COL362-Assignment-1 — GitHub repository
View ProjectHBN
May 31, 2017 – June 9, 2017
A web management console based application build during intern at SRISTI-UNICEF Summer Intern for innovation submission and review, and include of details of Honey Bee Network
View ProjectMobile-Phone-Tracker
September 25, 2016 – September 25, 2016
Mobile-Phone-Tracker — GitHub repository
View ProjectStock-Exchange
September 25, 2016 – September 25, 2016
Stock-Exchange — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a mix of academic assignments and personal projects, indicating a foundational interest in various technical areas. The target role is 'Data Scientist', which aligns with some of the project work (Kaggle, Deep Learning, Knowledge Graphs). However, the breadth of technologies used (Java, C++, HTML, CSS, Lex, Shell) suggests a general programming background rather than a focused Data Science profile. The single listed experience at IBM as a Data Scientist is current, but no details are provided to assess its relevance or depth. The experience level is 0, which contradicts the current role at IBM, suggesting a potential data discrepancy or very recent entry into the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.