Nilesh Bhadana

Data Scientist

https://www.opentalent.in/nilesh-bhadana

Tech Enthusiast 🧑🏻‍💻

grofers

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python for various ML/AI applications (Facial Recognition, NLP).
Exposure to infrastructure as code (Terraform) and basic web services (Key-Value store).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on personal initiatives, indicating self-motivation and a proactive learning approach. The projects align well with a Data Scientist role, demonstrating a genuine interest in the field. However, the listed professional experience dates (starting in 2026) appear to be future-dated, which makes it difficult to accurately assess actual professional experience and cultural fit within a team environment. Assuming the projects reflect genuine interest and capability, there's a good foundational fit for a data-driven culture.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

zomato

Data Scientist

June 16, 2026 – Present

grofers

Data Scientist

June 16, 2026 – Present

Projects

Two-tier-application-TF

August 11, 2021 – August 11, 2021

Terraform templates to create Two tier application infrastructure on AWS

View Project

KeyValueStore

July 28, 2021 – October 12, 2022

A Simple Key-Value store web service with a subscription feature.

View Project

test

January 28, 2019 – January 28, 2019

test — GitHub repository

View Project

HTML

January 21, 2019 – April 15, 2019

HTML — GitHub repository

View Project

NLP

January 17, 2019 – October 22, 2019

NLP — GitHub repository

View Project

Attendance-Using-Facial-Recognition

January 14, 2019 – January 14, 2019

Marking Attendance of people using facial recognition

View Project

Facial-Recognition-Using-Dlib

January 7, 2019 – October 23, 2019

Face Recognition Using "Face Recognition" library based on dlib

View Project

Attendance-System-using-LBPH

December 30, 2018 – October 23, 2019

Project for Marking attendance Using LBPH as face recognizer

View Project

December 12, 2018 – May 18, 2021

This repository contains my Work in Machine Learning during Training

View Project

college_python

September 20, 2018 – September 20, 2018

college_python — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python for various ML/AI applications (Facial Recognition, NLP).
Exposure to infrastructure as code (Terraform) and basic web services (Key-Value store).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

Nilesh Bhadana

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit