Ankit Paliwal

Data Scientist

https://talent.gravityer.com/ankit-paliwal

PostGrad in Machine Intelligence, love to explore new technologies in AI and ML.

Qualcomm

Key Strengths

Extensive personal project experience in Data Science, Machine Learning, and Deep Learning.
Demonstrated proficiency in Python, Jupyter Notebook, TensorFlow, and Keras.
Experience with various ML/DL applications including computer vision (Face Recognition, Image Superresolution, Visualizing ConvNets), NLP (Topic Modelling, Amazon Reviews), and recommendation systems (Personal News Recommendation).
Current role as a Data Scientist at Qualcomm indicates relevant industry experience.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's diverse personal projects across various domains within Data Science (computer vision, NLP, recommendation systems) suggest a strong interest in exploring different applications and a proactive learning approach. This breadth of interest aligns well with a dynamic and innovative work environment. The current role at Qualcomm further indicates experience in a corporate setting.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

AV_GenAI_Hackathon

February 13, 2025 – February 14, 2025

Repo for AV GENAI Hackathon

View Project

Image-Superresolution

November 29, 2019 – November 29, 2019

Different implementations for 8X Image Superresolution of flower images

View Project

Amazon_Reviews

November 29, 2019 – November 29, 2019

Multilabel classification of Amazon reviews based on the provided title and complete review text

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Face-Recognition

February 9, 2019 – February 10, 2019

Face Detection using open-cv and Face Recognition using Siamese networks using Keras and TensorFlow

View Project

visualizing_convnets

September 28, 2018 – June 24, 2019

This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"

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vae_models

March 7, 2018 – March 18, 2018

Collection of python scripts running VAE models using Keras and Tensorflow as backend

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fashion_mnist

December 8, 2017 – December 8, 2017

Performance comparison of XgBoost when applied to MNIST and Fashion-MNIST datasets

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person_news_reco

March 31, 2017 – March 31, 2017

Recommendation system for news-feeds personalized for users

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Topic_Modelling

December 12, 2016 – December 12, 2016

A simple topic modeller using PLSA and LDA

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kdc_assignment

December 7, 2016 – December 7, 2016

kdc assignment by Ankit Paliwal, Anubha Jain and Nirali Popat

View Project

Key Strengths

Extensive personal project experience in Data Science, Machine Learning, and Deep Learning.
Demonstrated proficiency in Python, Jupyter Notebook, TensorFlow, and Keras.
Experience with various ML/DL applications including computer vision (Face Recognition, Image Superresolution, Visualizing ConvNets), NLP (Topic Modelling, Amazon Reviews), and recommendation systems (Personal News Recommendation).
Current role as a Data Scientist at Qualcomm indicates relevant industry experience.

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.

Ankit Paliwal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit