Deepesh Mhatre

Data Scientist

https://talent.gravityer.com/deepesh-mhatre

I do everything from building websites to analyzing machine learning algorithms ! 👩‍💻🤖

Mumbai, Maharashtra, India

Key Strengths

Strong foundational knowledge in Machine Learning and Deep Learning demonstrated through multiple projects.
Practical experience with various ML/DL frameworks and libraries (TensorFlow, PyTorch, Scikit-learn implied by Python projects).
Experience in developing end-to-end ML applications, including API development (FastAPI) and front-end integration (JavaScript, HTML, CSS).
Diverse project portfolio covering areas like cybersecurity (phishing detection), computer vision (object detection, neural style transfer, deepfake animation), and agricultural AI.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong interest in applying AI/ML to real-world problems, including cybersecurity and agriculture, which indicates a proactive and problem-solving mindset. The diversity of projects suggests adaptability and a willingness to explore different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

CropFusionAI

December 18, 2022 – March 22, 2023

Helping Farmers make informed decisions with Machine Learning ! 👩‍🌾🚜

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CropFusionAI-Backend

December 15, 2022 – December 27, 2022

FastAPI backend for CropFusionAI

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PixelMix

March 2, 2022 – March 2, 2022

A Neural Style Transfer system created using Tensorflow and Streamlit.

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phishr

December 13, 2021 – June 20, 2023

PHISHr - A Cyber security utility for detecting malicious phishing URLs & Discovering Typosquatted Domains.

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Phishr-API

December 13, 2021 – June 20, 2023

Rest API for 'PHISHr' - A Cybersecurity utility for detecting malicious Urls

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Neural-Style-Transfer

November 14, 2021 – March 2, 2022

Creating digital art using Neural Network based Style Transfer.

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Phishing-Attack-Domain-Detection

November 9, 2021 – August 22, 2023

Identifying Malicious Phishing URLs through Machine Learning

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ML-DL-Course

October 5, 2021 – October 29, 2021

This repository contains all the code mentioned in the ML/DL course.

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DeepFake-Image-Animation

September 30, 2021 – March 31, 2022

DeepFake Image Animation with 'First Order Motion Model'. Generating video frames with custom motion given an Image and Driving video.

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Object_Detection_YOLOV3

July 22, 2021 – August 9, 2021

Object Detection using Yolo Version 3 trained on Pascal Voc Dataset in Pytorch

View Project

Key Strengths

Strong foundational knowledge in Machine Learning and Deep Learning demonstrated through multiple projects.
Practical experience with various ML/DL frameworks and libraries (TensorFlow, PyTorch, Scikit-learn implied by Python projects).
Experience in developing end-to-end ML applications, including API development (FastAPI) and front-end integration (JavaScript, HTML, CSS).
Diverse project portfolio covering areas like cybersecurity (phishing detection), computer vision (object detection, neural style transfer, deepfake animation), and agricultural AI.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Deepesh Mhatre

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit