Aryaman
aryaman image
Hello, I am
Aryaman
Passionate and results-driven data professional with experience in data analytics, big data, and artificial intelligence. Currently an intern at Inspira Enterprises, contributing to data analysis by collecting, cleaning, and analyzing data to inform business decisions. Previous experience includes a big data internship at CMPDI, GOI, where I conducted text mining and analytics on safety issues in coal fields and mines
Education
Skills
C/C++
Python
HTML
Pig
Hive
Spark
Big Data
Machine Learning
OpenCV
Deep Learning
Tensorflow
Keras
Artificial Intelligence
Text Analytics
SAS
Anaconda
VS Code
Experience
Projects
AI Tutor
April 2023
AI Tutor is a web-based chatbot that utilizes OpenAIs GPT-3 languagemodel to provide automated tutoring to students on various topics related to machine learning.
Gender and Age Detection
October 2022 - December 2022
To identify the gender into binary categories, male and female using facial features such as skin tone, wrinkles, etc, and to classify their age based on similar features. The baseline model was set as CNN and multiple models were implemented such as CNN with Skip Connections, ResNet, AlexNet, VGGNet, InceptionV3. CNN with Skip Connections achieved the best accuracy or 87.56
Carbon Emission Calculator
August 2022
Calculates the total CO2 emission of a household using functions made in JavaScript and suggests changes to be made to reduce the emission if the calculated values passes a certain threshold.
Anime Recommender System
May 2022 - June 2022
Developed an Anime Recommender System using Cosine Similarity, KNN, and Association Rules, leveraging user preference data and ratings from a dataset of 73,516 users and 12,294 anime, aimed at improving the accuracy and effectiveness of anime recommendations for users based on their viewing history.
Anti-Suicide Chat Bot
July 2021 - August 2021
A chat bot which talks to people and replies to them based on a set of predefined responses related to suicidal thoughts. The algo is using a neural network of 16 neurons to predict the right output based on the input in the intents.json file.