Adarsh Kumar

About Me

I'm a passionate Data Scientist and Machine Learning engineer with expertise in building intelligent solutions that transform data into actionable insights. With a background in Computer Science from KIIT and currently pursuing an M.S. in Computer Science (AI Track) at San Jose State University, I've been actively contributing to the field since 2021 with 13 public repositories showcasing my work.

My journey in data science began during my studies, where I developed a keen interest in machine learning and its applications. I've worked on various projects spanning from computer vision to natural language processing, always striving to push the boundaries of what's possible with AI.

Skills

Programming Languages

Machine Learning & AI

Databases & Tools

Web Technologies

Featured Projects

Portrait Generation Using GANs

Portrait Generation Using GANs

Python, TensorFlow, Deep Learning, Computer Vision

Developed Generative Adversarial Networks to create realistic portrait images from noise. Implemented DCGAN architecture with impressive results, achieving generator and discriminator loss values of 0.8 and 0.6 with 80% accuracy in matching dataset characteristics.

GitHub Kaggle Demo
AQI Prediction System

AQI Prediction System

Python, Flask, Streamlit, Environment

Built a real-time Air Quality Index prediction system deployed as a web application. Used historical weather and pollution data with machine learning models to forecast air quality. Created web scraping pipeline for 470+ Indian cities and enhanced data visualization clarity by 40%.

GitHub Kaggle Demo
Stock Price Forecasting

Stock Price Forecasting

Python, TensorFlow, Time Series, Finance

Created an LSTM-based model to predict stock prices using historical data. Integrated with real-time data feeds and deployed as a web application for live predictions. Implemented advanced feature engineering and achieved competitive forecasting accuracy.

GitHub Demo
Deep Learning Projects

Deep Learning Projects

Python, TensorFlow, Keras, Deep Learning

Collection of various deep learning projects including CNNs, RNNs, and other neural network architectures. Features implementations of advanced models for image recognition, natural language processing, and sequence prediction.

GitHub Kaggle Demo
Skin Cancer Detection

Skin Cancer Detection

Python, TensorFlow, DenseNet121, Healthcare

Developed a deep learning model using DenseNet121 for skin cancer classification with data augmentation techniques to improve model accuracy. Implemented advanced preprocessing pipelines and achieved over 90% classification accuracy.

GitHub Kaggle Demo
Celebal Summer Internship Projects

Celebal Summer Internship Projects

Python, Pandas, NumPy, Data Science

Projects completed during Data Science internship at Celebal Technologies, including data analysis and machine learning models. Focused on real-world business applications and practical implementation of data science solutions.

GitHub Demo

Milestones

2024

Kaggle Notebook Expert

Recognized as a "Kaggle Notebook Expert" and achieved "Top 10% Performer in Notebooks" on the Kaggle platform, demonstrating expertise in data science and machine learning through high-quality notebook contributions.

2023

Data Science Internship at Celebal Technologies

Successfully completed a 3-month Data Science internship, developing and deploying a real-time AQI prediction system. Created a web scraping pipeline for 470+ Indian cities, enhanced data visualization clarity by 40%, and built a robust ML model achieving MSE of 2.3.

2023

Skin Cancer Classification Model

Designed an end-to-end deep learning pipeline using DenseNet121 for skin cancer classification. Implemented advanced data augmentation techniques resulting in 25% increase in model accuracy and achieved over 90% classification accuracy.

2023

KPMG Data Analytics Virtual Internship

Completed virtual internship program focused on data analytics consulting, gaining practical experience in real-world business data analysis and consulting methodologies.

2022

Machine Learning and Data Science Certification

Completed comprehensive certification program in Machine Learning and Data Science, gaining advanced knowledge and practical skills in data analysis, predictive modeling, and machine learning algorithms.

2021

AI Classroom Series Certification

Completed the AI Classroom Series June Session from Microsoft, gaining foundational knowledge in artificial intelligence concepts, applications, and implementation strategies.

2020

B.Tech Computer Science Admission

Enrolled in Bachelor of Technology program in Computer Science and Communication Engineering, maintaining a CGPA of 8.54/10 throughout the program while developing multiple AI/ML projects.

Achievements

Kaggle Notebook Expert (2024)

Recognized for expertise in data science and machine learning through high-quality notebook contributions

Top 10% Kaggle Contributor (2024)

Ranked among the top performers in notebooks on the Kaggle platform

Scaler ML & Data Science Certification (2022)

Completed comprehensive certification in Machine Learning and Data Science

Microsoft AI Classroom Series Certification (2021)

Gained foundational knowledge in artificial intelligence concepts and applications