Lavish Bansal

Data Scientist

https://talent.gravityer.com/lavish-bansal

Repello AI | ML Enginner | Breaking and Building Stuff

Bengaluru, Karnataka, India

Key Strengths

Extensive personal project experience in Computer Vision and Deep Learning, highly relevant to Data Scientist role.
Demonstrated proficiency in Python, a core language for Data Science.
Experience with various deep learning frameworks and libraries (PyTorch, OpenCV, StyleGANs, CNNs).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong interest and self-driven learning in advanced AI/ML topics, which aligns well with an innovative and research-oriented culture. The diversity of projects, from image generation to medical record systems, indicates adaptability and a broad technical curiosity. However, without team-based project experience or psychometric data, assessing collaboration and work attitude for cultural fit is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

Adversarial-Audio-Attack

April 14, 2025 – April 15, 2025

Adversarial-Audio-Attack — GitHub repository

View Project

NoisyTwins

March 21, 2023 – April 8, 2024

[CVPR 2023] Source code for NoisyTwins: Class-consistent and Diverse Image Generation Through StyleGANs

View Project

AdaMomentum-Optimizer-Experiments

November 30, 2021 – December 7, 2021

Unofficial Implementation of AdaMomentum Optimizer and cross verifies the results given in paper on vision datasets.

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DeepLab_NWPU-VHR-10_Dataset_coco

November 16, 2021 – November 16, 2021

DeepLab_NWPU-VHR-10_Dataset_coco — GitHub repository

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Automatic-Number-Plate-Recognition

June 3, 2021 – June 3, 2021

Automatic-Number-Plate-Recognition — GitHub repository

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MLP-Mixer-PyTorch

May 19, 2021 – July 7, 2021

An all MLP architecture for Computer Vision by Google (Paper Implementation)

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Automatic-Number-Plate-Recognition

April 23, 2021 – May 6, 2021

Detecting Vehicle Registration Number from License Plate images using openCV & CNNs

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Traffic_Sign_Recog_Inter_IIT

March 6, 2021 – March 27, 2021

Traffic_Sign_Recog_Inter_IIT — GitHub repository

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AR-Sudoku-Solver-Pytorch-OpenCV

January 13, 2021 – May 16, 2021

An augmented Reality-based Sudoku-Solver using OpenCV and deep learning model trained on PyTorch.

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MedicDiary

August 7, 2020 – June 18, 2021

A digital medical record management system in django between a doctor and patient. Also provide user-friendly interface and detailed database of various diseases.

View Project

Key Strengths

Extensive personal project experience in Computer Vision and Deep Learning, highly relevant to Data Scientist role.
Demonstrated proficiency in Python, a core language for Data Science.
Experience with various deep learning frameworks and libraries (PyTorch, OpenCV, StyleGANs, CNNs).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Lavish Bansal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit