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Key Strengths

Demonstrated interest and practical experience in various Data Science domains including time series forecasting (Stock_Price_Prediction, ETH-Price-Prediction), computer vision (TumorNet-GradCAM, Skin-Cancer-Lesion-Segmentation, Pothole_Detection, Brain_Tumor_Detection), and NLP (Emoji-Prediction).
Proficiency in Python and Jupyter Notebook, essential tools for a Data Scientist.
Experience with deep learning frameworks (Keras, TensorFlow) and models (CNN, LSTM, BERT, SegNet).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are exclusively personal, which indicates self-motivation and initiative. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit, collaboration skills, or adaptability within a team environment. The projects are diverse within the Data Science field, showing broad interest.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into problem-solving approaches, collaboration, or communication style.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Aniket Patil

Data Scientist

https://www.opentalent.in/aniket-patil-2

I'm passionate about Deep Learning, particularly at the intersection of Language and Vision. I love exploring and implementing new research ideas in this field.

IndiaMember since June 12, 2026

https://www.opentalent.in/aniket-patil-2

Top Skills

Jupyter NotebookPython

Skills

Jupyter NotebookPython

Projects

TumorNet-GradCAM

September 21, 2023 – September 21, 2023

This repository explores the fascinating world of brain tumor classification using cutting-edge Convolutional Neural Networks (CNNs) and eXplainable Artificial Intelligence (XAI) techniques.

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CCA-Assignment

August 31, 2023 – October 5, 2023

This repository contains my solutions and assignments for the Cloud Computing course.

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Emoji-Prediction

August 8, 2023 – August 9, 2023

BERT, a well-liked pretrained language model, was utilised to offer a transformer-based strategy for emoji prediction. Additionally, BERT was refined using a sizable corpus of text (tweets) that had both text (tweets) and emojis in order to predict the ideal emoji for a particular text.

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Quantum-Cryptography

August 5, 2023 – January 6, 2024

Quantum-Cryptography — GitHub repository

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Skin-Cancer-Lesion-Segmentation

August 4, 2023 – Present

Automatic Skin Lesion Segmentation using SegNet, a Deep Learning architecture with certain extra requirements. Keeping the pre- and post-processing of the photos to a minimum is the secondary goal. The dermoscopic pictures in the PH2 dataset, which are part of the limited amount of images used to train the proposed model, were manually segmented.

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ETH-Price-Prediction

July 15, 2023 – January 28, 2024

This project seeks to predict the price of ETH based on historical ETH prices and Ethereum blockchain data such as gas usage.

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Netflix_Movies_and_TV-Shows

June 30, 2023 – June 30, 2023

Netflix_Movies_and_TV-Shows — GitHub repository

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Pothole_Detection

June 30, 2023 – June 30, 2023

Pothole_Detection — GitHub repository

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Brain_Tumor_Detection

June 29, 2023 – June 29, 2023

Brain_Tumor_Detection — GitHub repository

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Stock_Price_Prediction

March 28, 2023 – Present

In this project two models are build a Multivariate CNN-LSTM model using keras and tensorflow, ARIMA model, and FbProphet. In multivariate CNN-LSTM five feature are given as a input to the model and output as Closing price. Forecasted for the next 30 days. the dataset has been collected from Yahoo finance.

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Key Strengths

Demonstrated interest and practical experience in various Data Science domains including time series forecasting (Stock_Price_Prediction, ETH-Price-Prediction), computer vision (TumorNet-GradCAM, Skin-Cancer-Lesion-Segmentation, Pothole_Detection, Brain_Tumor_Detection), and NLP (Emoji-Prediction).
Proficiency in Python and Jupyter Notebook, essential tools for a Data Scientist.
Experience with deep learning frameworks (Keras, TensorFlow) and models (CNN, LSTM, BERT, SegNet).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into problem-solving approaches, collaboration, or communication style.