Hello I'm
Dipak Patil
I’m a dynamic and curiosity-driven Full-Stack Developer with a comprehensive understanding of both front-end and back-end technologies, with 4 years of experience in designing, implementing, and maintaining Enterprise Applications. Proficient in a wide range of programming languages, frameworks, and technologies, with a proven track record of delivering high-quality solutions for the impressive suite of clients within the industry's global reach. Known for my ability to collaborate effectively with cross- functional teams and adapt to evolving project requirements. Being a strong analytical thinker with a passion for problem-solving and a dedication to continuous learning and improvement.
Work Experience
Education
SSC
R.C.Patel Secondary School, Shirpur
2013-2014
Percentage : 95.40 %
HSC
R.C.Patel Junior College, Shirpur
2015-2016
Percentage : 87.54 %
BE(Computer)
Modern Education Socity's College of Engineering , Pune
(University of Pune)
2016-2020
CGPA : 8.68
My Skills
My Projects & Achievement
Aug 2020
Achievement
Smart India Hackathon SIH-2020 RunnerUP Squad
My team performed on national level competition organised by SIH2020 .we worked on Sentimental analysis of code mixed language project which was provided by BEL(Bharat Electronics Limited) .
May - Aug 2020
Sentimental Analysis of Code Mixed Language :
Presented project at SIH 2020 for AICTE and BHEL India which does sentimental analysis of code mixed lanaguage.
Worked on project which does sentimental analysis of code mixed languages . Target was to analyse social media post
for their sentimental message , As most of the social media content now a days is code mixed.(eg - Hinglish , Devnagri + English)
This project provides solution for Indian Science Ministry at National Level Competition (SIH 2020)
Technology stack : NLP (Natural Language Processing) , Python , RNN(Recurrent Neural Network) with LSTM , Django
Jan - May 2020
Health Monitoring System Based On Diet Evaluation (Using NLP and KNN)
http://ijirt.org/Article?manuscript=149802Machine Learning based project which will suggest a diet based on health, medical pre-condition,preferences and diet history. NLP has been used to get user input and
specially designed ML algorithm which recalibrates diet chart dynamically. For user feasibility Client side Application is developed using Android
Framework(Java) and server (Using Flask Rest Framework) is deployed on Heroku cloud platform for
remote access.
Technology stack : NLP (Natural Language Processing) , Cloud deployment of server (Heroku) , Machine Learning (ML) Android (Client
Application)
