Name: Aditya Kumar
Profile: ML Computational Science Analyst
Email: adityacoding100@gmail.com
About me
II am Aditya Kumar, currently working as an MLOps Developer within the Analytics team, with a strong foundation in Machine Learning, Backend Development, and AI-driven problem-solving. Through both professional experience and academic learning, I have gained hands-on expertise in implementing advanced technologies such as top-performing ML models (XGBoost, LSTM, KNN), Kubernetes, Docker, FastAPI, and other cutting-edge machine learning methodologies. Over the course of my journey, I have contributed to several large-scale projects—ranging from developing robust APIs capable of handling over 5,000 requests per hour with 99.9% uptime, to creating intuitive front-end systems that significantly improve user experience, and building scalable, high-accuracy predictive models that drive business impact.
Skills
Machine Learning
SVM, Decision Trees, Random Forest, Gradient Boosting, Ensemble Methods
Data Analysis & Visualization
Pandas, NumPy, Matplotlib, Seaborn, D3.js, Tableau
AI Specializations
Natural Language Processing, Computer Vision, Reinforcement Learning, Deep Learning
Programming Languages & Databases
Python, SQL, JavaScript , Postgresql , Mysql , Mongodb
Libraries & Frameworks
Scikit-learn, TensorFlow, Keras , React JS , Express, Django , Flask , FastAPI
Technologies
Kubernetes , Docker , Dapr
Practicing Leetcode
Making Machine Learning Models
Building OPs Pipelines
Building Websites
Projects
Some Projects made by me
PERN
Social Media sentiment analysis
The Social Media Sentiment Analyzer is a powerful AI-driven application designed to analyze and interpret the sentiment of social media content. Leveraging Natural Language Processing (NLP) and Machine Learning algorithms, it classifies posts, comments, and tweets into positive, negative, or neutral sentiments.
PERN
Financial Markets Website
Developing a comprehensive website providing real-time data and educational resources on global financial markets, integrating key financial metrics, news, and analysis tools for improved user engagement.
Neural Networks
Brain Tumor Detection using CNN in TensorFlow
Developed a CNN-based model using TensorFlow for automatic brain tumor detection from MRI scans, achieving a 92% detection accuracy and reducing analysis time by 40%, significantly improving diagnostic efficiency.