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Building AI models, optimizing down to machine code.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-Science-series
January 20, 2022 – February 15, 2022
Data-Science-series — GitHub repository
View ProjectML2
December 27, 2021 – December 27, 2021
deep learning classification deployement on awsusing ECR Lambda REST APIGateway
View Projectpyspark-data-scientist-point-of-view-
August 3, 2021 – August 3, 2021
pyspark-data-scientist-point-of-view- — GitHub repository
View Projectmy_kaggle_notebooks
June 21, 2021 – May 9, 2022
collection of notebooks practised in kaggle
View ProjectNSE-STOCK-HISTORICAL-DATA-FETCHING
August 17, 2020 – December 31, 2021
NSE-STOCK-HISTORICAL-DATA-FETCHING — GitHub repository
View ProjectHeroku-Demo
January 10, 2020 – March 20, 2021
Deployment of ML models in Heroku using FLASK by Krish Naik
View ProjectStreamingExamples
October 25, 2019 – August 3, 2024
This repository is mainly focused on Streaming applications like Spark Streaming, Spark Structured Streaming, Kafka and it's components along with ELK stack.
View ProjectCultural Fit Analysis
The candidate's projects show a strong individual initiative in learning and applying data science concepts. The diversity of tools and platforms (Heroku, AWS, Spark Streaming, Kafka) suggests an openness to exploring different technologies. However, the lack of team-based projects or detailed descriptions of contributions makes it difficult to fully assess cultural fit, especially regarding collaboration and teamwork.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication.