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Machine learning and Deep learning enthusiast.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
dockerize-image-matching-model
July 22, 2023 – July 22, 2023
Dockerizing a deep learning model
View Projectcontroversies-opinion-voter
March 31, 2022 – March 31, 2022
A web3 based voting app to the opinions regarding trending controversies.
View ProjectEthereum-Bank-
January 15, 2022 – January 15, 2022
A simple bank where you can deposit and withdraw ethereum from wallet with an interest
View Projectspeech-recognition
August 17, 2021 – August 17, 2021
speech-recognition — GitHub repository
View Projectsentiment-analysis
August 17, 2021 – August 17, 2021
sentiment-analysis — GitHub repository
View Projectmachine-translation
August 17, 2021 – August 17, 2021
machine-translation — GitHub repository
View ProjectDocument-image-classification
July 17, 2021 – March 18, 2023
image classification using vgg-16
View ProjectRoad-Damage-Detection
March 9, 2021 – March 9, 2021
Detect damages like cracks and potholes of roads
View ProjectSales-Forecasting-for-Retail-Chains
November 14, 2020 – January 17, 2022
Time series forecasting of retail items
View ProjectCultural Fit Analysis
The candidate shows a diverse interest in various technical domains, including machine learning, deep learning, and even blockchain (Solidity). This breadth could indicate adaptability and a willingness to explore new areas. However, the projects are all personal and lack details on team collaboration or impact, making a comprehensive cultural fit assessment difficult. The target role is Data Scientist, and while many projects align, the blockchain projects suggest a broader interest beyond pure data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication within a team context.