Data Science Student & ML Engineer
Transforming data into intelligent solutions through machine learning and advanced analytics. Passionate about building AI systems that solve real-world problems.
I'm a dedicated Data Science student and ML Engineer with a strong foundation in statistics, programming, and machine learning algorithms. My journey in data science began with a fascination for how data can tell stories and drive intelligent decision-making.
Currently pursuing my degree while working on real-world projects that bridge the gap between theoretical knowledge and practical applications. I specialize in building end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.
My approach combines rigorous analytical thinking with creative problem-solving, always striving to deliver solutions that are not only technically sound but also impactful and scalable.
Currently pursuing Bachelor's in Data Science with focus on Machine Learning, Deep Learning, and Statistical Analysis. Maintaining strong academic performance while actively participating in research projects.
Proficient in Python, R, SQL, and modern ML frameworks. Experienced in building predictive models, implementing neural networks, and deploying scalable AI solutions using cloud platforms.
Natural Language Processing, Computer Vision, Time Series Forecasting, and MLOps. Passionate about applying AI to solve real-world challenges in healthcare, finance, and social impact sectors.
Contributing to open-source projects, participating in Kaggle competitions, staying updated with latest AI research papers, and mentoring aspiring data scientists.
Statistical analysis, data visualization, exploratory data analysis, and predictive modeling using Python and R.
Supervised and unsupervised learning, deep learning, neural networks, NLP, and computer vision applications.
Python, R, SQL, JavaScript. Proficient in libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
Model deployment, Docker, CI/CD pipelines, cloud platforms (AWS, GCP), and API development.
Creating insightful dashboards with Tableau, Power BI, Matplotlib, Seaborn, and Plotly.
Analytical thinking, algorithm design, optimization techniques, and innovative solution development.
Built an NLP model to analyze customer sentiment from social media data with 94% accuracy using BERT and transformers.
Developed a convolutional neural network for multi-class image classification achieving 96% validation accuracy.
Created an interactive dashboard for sales forecasting using time series analysis and machine learning models.
Implemented an intelligent chatbot using large language models for customer support automation.
Developed an unsupervised learning system to detect fraudulent transactions in real-time financial data.
Machine learning model to predict student performance and identify at-risk students for early intervention.
I'm always excited to collaborate on innovative projects, discuss data science opportunities, or connect with fellow ML enthusiasts. Feel free to reach out!