About Me
I'm a passionate data scientist with expertise in machine learning, time series analysis, and statistical modeling. I love exploring complex datasets and extracting meaningful insights that drive business decisions.
My journey into data science began with a strong foundation in mathematics and computer science. Over the years, I've developed expertise in Python, R, and SQL, along with various machine learning frameworks including TensorFlow, scikit-learn, and pandas.
I specialize in time series forecasting, anomaly detection, and building end-to-end machine learning pipelines. Whether it's predicting market trends, optimizing business processes, or uncovering hidden patterns in data, I enjoy tackling challenging problems that require both technical expertise and creative thinking.
When I'm not diving deep into data, you can find me exploring new technologies, reading research papers, or sharing knowledge through blog posts and technical discussions. I believe in the power of continuous learning and collaboration to push the boundaries of what's possible with data.
Technical Skills
Technologies and tools I use to build data-driven solutions
Programming Languages
Machine Learning
Data Analysis
Databases & Tools
Specializations
Professional Experience
My journey in data science and analytics
Staff Data Scientist
Current Role
Leading data science initiatives with focus on multivariate time series analysis and anomaly detection systems.
Data Scientist
Previous Experience
Developed machine learning models and statistical analyses to drive business insights and decision-making.
Beyond Data Science
What I'm passionate about outside of work
Learning & Research
I'm constantly exploring new developments in machine learning and AI. I enjoy reading research papers, experimenting with new algorithms, and staying up-to-date with the latest trends in data science.
Open Source
I believe in contributing back to the community. I enjoy working on open source projects and sharing knowledge through blog posts and technical discussions.