Pranav Parag Pathare

Worked as Python Developer Intern at Frshr Technologies
Pune
Skills:
oop, sdlc, CSS, HTML, rest api
Education:
Symbiosis Institute of Technology
Profile
Experience
Education
Achievements
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Language Activity
Technical Skills
oop, sdlc, CSS, HTML, rest api, git, deep-learning, machine learning, data science, mongodb, flask, MySQL, Python, Java, Java 8, Python 3.8, Python 3
Work Experience
Python Developer Intern
Frshr Technologies, Bangalore
Jul 2020 - Oct 2020 (4 months)
- Trained Deep Learning Models for Identification of Diabetic Retinopathy and Glaucoma from Retina Scans.
- Developed and Deployed REST API for serving models.
Python Developer Intern
Helto, Hyderabad
May 2020 - Jun 2020 (2 months)
Created data visualization graphics, implemented Algorithms to
identify patterns in data to predict Machine Learning Model scores
without training.
Education
Symbiosis Institute of Technology
Bachelor of Technology (B.Tech.), Computer Science
2016 - 2022
CGPA: 7.3 / None
Skills: Java | Python | MySQL | mongodb | algorithms | oop
Symbiosis Institute of Technology
Bachelor of Technology (B.Tech.), Computer Science
Achievements
Finalist : Atlassian App Development Hackathon 2021 (from 650+ Teams)
Atlassian
Mar, 2021
Problem Statement: Design and Develop an Assignment Submission Portal.
Google Kickstart Round H: Global Rank 1079
Google
Nov, 2020
Global Rank : 63 in Codechef Cookoff
Codechef
Oct, 2020
Google Kickstart Round G 2020 : Global Rank 1403
Google
Sep, 2020
Finalist : Smart India Hackathon 2020
MHRD
Sep, 2020
Problem Statement: Machine Learning Based Financial Document Classifier (Dividends, MFs, Splits).
Tech Stack : Python, ML, Nodejs
First Runner Up : Syngenta Game of Codes Hackathon (from 50+ Teams)
Syngenta
Feb, 2020
Problem Statement: Automation of Germination Statistics Calculation of Seed Batches. (Mobile Application)
First Runner Up : Tata Motors All-India AI Hackathon 2019 (from 450+ teams)
Tata Motors
Nov, 2019
The Problem Statement: Speaker Diarization + Sentiment / Emotion Recognition of Noisy Audio Data (Multilingual NLP)
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