As a computer science student with Specialization Hons. in Artificial Intelligence and Machine Learning, I am constantly expanding my knowledge and skills through personal projects, and internships. I specialize in domain-specific skills within Data Science, Machine Learning, Natural Language Processing (NLP), and Generative AI (GenAI). My experience in Machine Learning with Python encompasses Exploratory Data Analysis (EDA), feature engineering, and utilizing libraries such as SciPy and scikit-learn for regression and classification tasks. Additionally, I have foundational knowledge in TensorFlow and deep learning. I am adept at Data Analysis, leveraging Python for data manipulation and visualization.
My programming expertise includes languages such as Python, C, C++, Java, and SQL, alongside technical proficiency in key areas like Data Structures and Algorithms (DSA), Object-Oriented Programming (OOP), Database Management Systems (DBMS), and software development.
As a team player with strong communication skills, I am seeking opportunities to gain valuable experience in the technology industry and contribute to the success of an organization through innovative data science and machine learning solutions.
Check out a few of the things I enjoy working on.
Descriptive & Inferential Statistics, Probability Theory, Hypothesis Testing, Sampling Methods
EDA, Data Cleaning and Preprocessing, Data Visualization, Feature Engineering, Regression Analysis, Model Evaluation
Classification, Regression, Clustering, Decision Trees, Random Forests, Support Vector Machines, Naive Bayes, Neural Networks, RNNs
RAG, Deployed GenAI apps using LLMs like Google Gemini
Heroku, Streamlit, AWS
Github Actions CI/CD Pipelines, AWS Sagemaker, Dockers
Version Control, GitHub Actions
MongoDB, MySQL, CassandraDB, ChromaDB
Python, Visual Studio Code
Available for work. Get in touch