Senior AI/ML Engineer @Quantiphi || Ex-NielsenIQ || 2x Kaggle Master
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quantiphi
Data Scientist
June 18, 2026 – Present
Chat_With_SQL_DB
September 21, 2024 – September 21, 2024
Chat_With_SQL_DB — GitHub repository
View ProjectCustomerChurnPrediction
August 13, 2021 – August 16, 2021
This is a customer churn prediction repo which helps to predict whether a customer will leave your service or not based on the attribute provided. This Machine Learning project is built using Flask and deployed on Heroku.
View ProjectFaceApp
July 26, 2021 – August 17, 2021
This repo helps to edit image, cartoonifying image, detect facial parts of human like eyes, smile etc and many other things. It is made using Python, OpenCV ( image processing ), Streamlit and haar cascade classifier for facial detection
View Projectmyintro
December 8, 2020 – September 6, 2021
This repo is for my personal portfolio website. It is beautifully design and build using React and Bootstrap. It is deployed on Heroku. Feel free to open the URL present inside the repo.
View ProjectClothDetector
September 23, 2020 – January 24, 2021
This repo is machine learning based image classification project which helps to automatically identifies the type of the apparel a person is wearing ( like t-shirt or shirt ) in real time and it is built using the TensorflowJs.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in data science. The diversity of projects (image processing, churn prediction, chatbots, search engines) indicates a broad interest within the field. However, the experience level is listed as 0, and the current role at Quantiphi has a future start date, suggesting this is a very early-career or pre-employment profile. This might indicate a need for mentorship and structured team environments, which could impact cultural fit depending on the team's dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insight.