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I'm Manish Dhorepatil



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Name: Manish Dhorepatil

Experience: 1 Year (Internships)

Address: Pune, India

Skills

SQL 95%
PYTHON 85%
Data Science 90%
Data Analysis 85%
Machine Learning 80%
Github 80%
Database 80%

About

About Me

Hello there!. Myself Manish Dhorepatl from Pune currently staying in Pune. I have completed my B.Tech in E&TC dept from VIIT Pune with a CGPA of 8.96 . Moreover, I am a keen listener,learner,explorer and a motivated personality, who tries to learn new thing in various walks of life. ML/DS/AI and Software are the domains that I personally like and have a descent amount of experience working in the same. Apart from that I have also lead my team in a national level Hackathon organised by Mercer Mettl called "AI. Arena 1.0" and stood among the Top 30 National Teams

  • Profile: Software/Machine Learning/Data Science & Analytics
  • Education: Bachelor of Technology
  • Language: English, Hindi, Marathi
  • Other Skills: MYSQL
  • Interest: Fitness Enthusiast, Travelling

0 +   Projects completed

LinkedIn

Resume

Resume

Budding Software Engineer with specialization interest in AI/ML/DS domains. Moreover, having worked as an intern in three companies have nourished a blend of knowledge, courage, determination and positive attitude. Also, Currently I am looking for opportunities to express my skills into these cutting-edge domains and want to lead by example.

Experience


Jan-24 Jun-24

Software Developer Intern

Sanspots
  • Developed and maintained admin, company, and student dashboards, providing centralized data access and functionality.
  • Designed and managed MySQL database structures for efficient storage and management of extensive company and student data.
  • Teck Stack: PHP, MySQL




May-23 Aug-23

Research Intern

VIIT College
  • Worked under the guidance of Dr. Rohini Chavan for research project titled ”Sentiment Analysis using VADER and Word Cloud Techniques.
  • Held study on the VADER module and how it can be integrated with word cloud for sentiment analysis for better user experience using streamlit web application.
  • Outcome:- Got an accuracy of 90 percent in sentiment analysis comments which is higher than other deep learning models
  • Tech used: Python,NLTK, sentiment-analyzer, Word Cloud, etc.


Education


2020-2024

Bachelor of Technology

Vishwakarma Institute of Information Technology, Pune

CGPA:- 8.96

2018-2020

Higher Secondary School

Glory Jr. College

Percentage:- 80.31

2017

Secondary School

Mount St. Patrick Academy

Percentage:- 76.33

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Projects

Projects

PDF-to-audiobook system

Developed a Python-based PDF-to-audiobook system, using Pytesseract for text extraction and the GTTS API for audio file generation. This enhances accessibility to textual content by providing MP3 versions, particularly from image-based PDFs.

Stable Diffusion with Explainable AI

A research project, involving exploration of Stable Diffusion text- to-image model and how it can be integrated with Explainable AI for user convenience.

Spam Mail Detection

Developed Spam Mail Detection involves identifying unwanted and unsolicited emails, commonly known as spam, using various techniques.


Movie Recommended System

Designed a system that would take TMDB dataset(5000) of Hollywood Movies and applied various Data Handling techniques and with the help of Python Libraries , implemented this recommended system of as a web application.

Research Work

Papers and Publication

”A Dive into Stable Diffusion’s Revolutionary Text-to-Image Capabilities”

Received an Publication for paper titled ”A Dive into Stable Diffusion’s Revolutionary Text-to-Image Capabilities” at Journal of Harbin Engineering University(JHEU) under Scopus indexing

”Sentiment Analysis through VADER and Word Cloud Techniques”

Got an Acceptance Offer for Research Paper titled ”Sentiment Analysis through VADER and Word Cloud Techniques”, for publication under Indexing of SCOPUS/Web Of Science at AIAMMS-23, Jaipur, Rajasthan

”Innovations in Text-to-Image Generation: Exploring Stable Diffusion’s Potential”

Got an Acceptance offer for paper titled ”Innovations in Text-to-Image Generation: Exploring Stable Diffusion’s Potential”at Vishwacon Conference-23 under Taylor and Francis series book as a Chapter



Patents


Indian Patent- "System and method for generating images from textual descriptions using Stable Diffusion and Explainable AI"

This groundbreaking invention leverages the power of Stable Diffusion and Explainable AI to transform textual descriptions into vivid, high-quality images. Our aim is to bridge the gap between language and visual representation, making AI-generated imagery more accurate and understandable.

Achievements

  • Top 30 in National Level Hackathon
  • Qualified Innomatics Research Labs Hackathon
  • Fitness Enthusiast Lost 25kgs

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Pune, India

Contact Number

+91 9766223608

Email Address

manish1692001@gmail.com

Download Resume

ResumeLink



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