Vaibhav Abhimanyoo Hiwase

Software Engineer

https://talent.gravityer.com/vaibhav-abhimanyoo-hiwase

I have Mtech degree in computer science and engineering. I am looking for job related to data science, machine-learning, deep-learning, artificial intelligence.

Nagpur, Maharashtra, India

Key Strengths

Demonstrated interest in machine learning and data science through multiple personal projects.
Proficiency in Python for data analysis and model implementation.
Experience with various machine learning algorithms like sentiment analysis, dimensionality reduction (backward elimination), and recommendation systems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic/personal and focused on machine learning/data science. While this demonstrates initiative, the breadth of technologies and project types is limited. Alignment with a general 'Software Engineer' role might require further assessment of core software engineering principles beyond data science applications.

Soft Skills & Operational Fit

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

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Projects

DeepSpeech2

May 23, 2020 – July 6, 2023

Python3 installation and complete setup only for prediction of Baidu's deep speech 2 model.

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Movie_Rating_Recommendation_System

July 23, 2018 – July 23, 2018

Here I made a movie rating recommendation system where we can predict what rating an user can give to the movie if he/she will watch that movie?

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KeyWords-Extraction-from-pdf

July 12, 2018 – July 12, 2018

Here Keywords are extracted from pdf file if we are aware of list of possible keywords for the given document or domain.

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Classification_of_Research_Papers_Titles_Describing_Some_Functions_Of_Extracellular_Vesicles

June 22, 2018 – July 26, 2018

We proposed an approach that use the keywords of research paper as feature and generate a Restricted Boltzmann Machine (RBM).

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Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

June 3, 2018 – July 25, 2018

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

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Sentimental_Analysis_using_Opinion_Target_and_Opinion_Words

June 3, 2018 – July 26, 2018

This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).

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Key Strengths

Demonstrated interest in machine learning and data science through multiple personal projects.
Proficiency in Python for data analysis and model implementation.
Experience with various machine learning algorithms like sentiment analysis, dimensionality reduction (backward elimination), and recommendation systems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Vaibhav Abhimanyoo Hiwase

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit