Aspiring Data Scientist having experience in end to end implementation of analytics projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LearningNLP
September 4, 2020 – September 10, 2020
Experiments that I undertake while learning from the deeplearning.ai course
View ProjectML-Applications
August 28, 2020 – October 23, 2020
Assignments done as part of Machine Learning Application Subject in Semester 3
View Projectalgorithm-practice
July 31, 2020 – April 7, 2021
practicing implementation of algorithms in python or any other programming language.
View ProjectLearningETL
July 31, 2020 – July 31, 2020
Course reference materials during my mtech course in NMIMS
View ProjectLearningEconometrics
July 25, 2020 – April 4, 2021
Classwork and homework files for econometrics exercises done in sem 3 during the mtech course
View Projectqliksensemashupsbadminv2
March 10, 2017 – February 26, 2019
qliksensemashupsbadminv2 — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and exploring various technical domains, particularly in data science and AI. However, the projects are all personal and lack diversity in terms of team collaboration or real-world application, which might impact cultural fit in a collaborative engineering environment. The target role 'Software Engineer' is broad, and the candidate's focus on ML/AI learning paths suggests a potential fit for roles within that specialization, but general software engineering skills are not demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects are primarily personal learning initiatives, offering limited insight into collaborative work or project management.