Vijay Krishna Vallabhaneni

Data Scientist

https://talent.gravityer.com/vijay-krishna-vallabhaneni

I'm a software engineer, but more importantly, I like horses

New Westminster, BC

Key Strengths

Demonstrated interest in machine learning and data science through projects like 'COMP-6771-garbage-classification' and 'ml-spotify-recommendations'.
Experience with Python, a core language for Data Scientists.
Familiarity with Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal learning and exploration across various technologies (web development, mobile, data science). While there's a clear interest in data science, the overall project portfolio is very broad, indicating a potential for diverse interests but also a lack of deep specialization in a single area. The 'experienceLevel' is 0, suggesting this is an entry-level candidate, which might not align with a senior Data Scientist role without further validation.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

code-playground

May 19, 2021 – May 26, 2021

Playground to practice code | Learn DS | Learn Algo | Solve Leetcode problems

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COMP-6771-garbage-classification

May 7, 2021 – May 7, 2021

A classifier for images of garbage and trash into 12 classes. Two transfer learning approaches using ResNet50 and VGG-16 are used as well as a simpler MLP.

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ml-spotify-recommendations

April 3, 2021 – April 16, 2021

ml-spotify-recommendations — GitHub repository

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smart-editor

February 17, 2021 – April 26, 2021

smart-editor — GitHub repository

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COMP-354

February 3, 2021 – April 21, 2021

For COMP 354 Assignments

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design-patterns-SOEN-6441

December 29, 2020 – October 13, 2020

A group project for Concordia University's SOEN 6441 -- a CLI Game (Risk) which implements quite a few design patterns such as the Adapter, Observer, Builder, Strategy and Command pattern. It also follows the best practices for programming such as using unit testing with JUnit, documentation with JavaDoc, generics and robust exception handling.

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prime

August 2, 2020 – October 10, 2021

Visualize Prime Numbers

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realtime-location

December 20, 2017 – December 20, 2017

Node Js,Socket.io to share live location

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Black-Board-App

October 10, 2017 – January 28, 2018

An android application for different levels of college management

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BlackBoard_API

October 8, 2017 – January 13, 2018

Rest API using Django

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Key Strengths

Demonstrated interest in machine learning and data science through projects like 'COMP-6771-garbage-classification' and 'ml-spotify-recommendations'.
Experience with Python, a core language for Data Scientists.
Familiarity with Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Vijay Krishna Vallabhaneni

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit