Python Programming

Autodesk Certified 

python 3 tutorial

workplace communication

python basics

accounting fundamentals

Python Programmer Certification

python basic

Diploma in Computer Application

AI and IIOT training

Artificial Intelligence

Java Programming

Machine learning for Business and technical Decision makers

Machine learning for Business Challenges

Data Science and ML Fellowship

Bachelor's degree

Data Scientist

Worked as mechanical intern with professional team on various machines to complete a
good jobs with – Lathe, Drill, and some, Cutting machines.

Project Intern

Worked on improving programming basic through learning and solving problems of PYTHON.

Python Developer Intern

Worked on various problem statement to put a virtual outline of AI & IOT sensors to have a good possible outcome – used Tinkercad.

Learner & Intern - AI & IOT

•Design a Machine model for projects Based on Image Classification and to apply CNN and NLP models on Ml Classification
Along with the help of logistic and linear Algorithm.
•Working with CNN, NLP, Matplotlib, AI-ML Tools.

Artificial Intelligence Intern

Data Scientist @Pathsetter | Data Science & ML enthusiast | AI & Python | Software Enthusiast

github

ATHARVA SHELKE • Data Scientist at Pathsetter • Peerlist Profile

- Used an e-commerce dataset sourced from a social media platform to create a dynamic Power BI dashboard 
that provides insights into the number of orders, revenue, popular products, and countries where orders 
were placed. 
- The visualization helped identify trends and patterns that can be used to make data-driven decisions about 
product placement and marketing strategies.

Power BI Data Visualization |Data set by Aditya Vyass (2023)

•	 Developed a reinforcement learning agent using Python to control an autonomous vehicle in a simulated     environment.
•	 Implemented a reward function to optimize the agent's performance and encourage desired behavior. Skills- NLP, ML, AWS-ML, Reward function, Driving model.

https://github.com/aasuraK/aws-deeprace-AIML

Reinforcement Learning Model to reduce lap timing within 3 m

sports_celebrity_classification

HAND WRITTING RECOGGINATIZATION USING CNN - A.I
STEPS  INVOLVED  
1.Import the libraries and load the dataset
2.Reshaping and Normalizing the Images (preprocessing )
3.Building the Convolutional Neural Network
4.Compiling and training the model
5.Evaluating the Model

HAND WRITTING RECOGGINATIZATION USING CNN - A.I

The project aims at building a model which classifies whether the news given is genuine news or false news by using NLP.
Supervised learning
Text pre-processing
Vectorization
Scikit learn NLP imports
Natural Language Tool Kit(NLTK)
ML classifiers

Hiring Talent?

ATHARVA SHELKE

Data Scientist @Pathsetter | Data Science & ML enthusiast | AI & Python | Software Enthusiast