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ML Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Document-Based-Chatbot
March 22, 2025 – September 2, 2025
Document-Based-Chatbot — GitHub repository
View ProjectChatGpt-clone-in-Cursor-Composer
September 9, 2024 – September 9, 2024
Single file full stack ChatGpt clone in Cursor Composer
View ProjectMilk-Quality-Prediction
April 4, 2023 – April 4, 2023
Topic: Milk Quality Prediction using Machine Learning
View ProjectExploratory-Data-Analysis-Shark-Tank-India-Season-1
March 23, 2022 – March 23, 2022
Exploratory data analysis shark tank india season1
View ProjectPayment-Date-Prediction
June 29, 2021 – June 30, 2021
With the help of machine learning, here we will predict tentative payment date.
View ProjectWhatsapp-Automation-with-Python
May 29, 2021 – May 29, 2021
Automate WhatsApp Messages With Python
View ProjectRPG_Automate_with_whatsapp
May 29, 2021 – May 29, 2021
Dynamically user will give input and generate a password and it automatically send it via whatsapp.
View ProjectFake-News-Detection
May 7, 2021 – June 5, 2021
Fake News Detection with the help of Machine Learning
View ProjectHackerRank_Python_Solution
February 5, 2021 – May 29, 2021
Here you can find solution of the python programs of HackerRank
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in Machine Learning and data analysis, which aligns with an ML Engineer role. The projects are primarily personal and demonstrate initiative. However, the lack of team-based projects or diverse technology stacks limits the assessment of broader cultural fit and collaboration experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.