Sai Kumar Yava

Data Scientist

https://talent.gravityer.com/sai-kumar-yava

AI Engineer | Generative AI | Agentic AI | MLOps

Hyderabad, Telangana, India

Key Strengths

Demonstrated interest and practical experience in various Natural Language Processing (NLP) and Machine Learning (ML) domains through personal projects.
Proficiency in Python, a core language for Data Science, evidenced by multiple project implementations.
Experience with deep learning frameworks like Keras (TensorFlow) and PyTorch, crucial for advanced data science roles.
Exposure to speech recognition (ASR, speaker diarization) and machine translation, indicating a broad interest in AI subfields.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-driven learning and exploration in AI/ML. The diversity of projects (NLP, ASR, image conversion) suggests adaptability and a willingness to tackle different technical challenges. However, without team-based project experience or detailed descriptions of collaboration, assessing cultural fit beyond individual initiative is challenging.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

NamedEntityRecognition-BiLSTM-CRF-BERT

July 25, 2020 – July 25, 2020

NamedEntityRecognition using BiLSTM-CRF,BiLSTM,BERT,TF2.x and Pytorch

View Project

speaker_diarization

July 7, 2020 – July 7, 2020

speaker diarization using spectralcluster and Deeplearning

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FastAPI-Full-Stack-Samples

May 19, 2020 – July 7, 2024

The API Application Development using Python FastAPI, including interactive API documentation

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DeepAsr

April 15, 2020 – January 13, 2022

Keras(Tensorflow) implementations of Automatic Speech Recognition

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Question_Answering_System

December 28, 2019 – December 28, 2019

Question answering system developed using seq2seq modeling - The SQuAD dataset.

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Neural_Machine_Translation_English_Telugu

December 25, 2019 – December 25, 2019

English to Telugu Neural Machine Translation using Encoder-Decoder

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TopicModeling_and_Text_Clustering

December 10, 2019 – December 11, 2019

Topic Modeling and Text Cluster Analysis

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webptools

January 11, 2019 – January 13, 2022

webptools is a Webp image conversion package for python

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Material-Login

May 7, 2016 – May 7, 2016

Simple Material design Login App with google+ and Facebook

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webp-converter

September 12, 2015 – July 4, 2021

[DEPRECATED] A small node.js library for converting any image to webp file format or converting webp image to any image file format.

View Project

Key Strengths

Demonstrated interest and practical experience in various Natural Language Processing (NLP) and Machine Learning (ML) domains through personal projects.
Proficiency in Python, a core language for Data Science, evidenced by multiple project implementations.
Experience with deep learning frameworks like Keras (TensorFlow) and PyTorch, crucial for advanced data science roles.
Exposure to speech recognition (ASR, speaker diarization) and machine translation, indicating a broad interest in AI subfields.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.

Sai Kumar Yava

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit