Hi, I’m Rajesh Patil, a data analyst based in Hyderabad, India, with over a year of experience in data analytics and data science. I am passionate about solving problems and uncovering insights that help businesses make informed decisions.

My expertise lies in areas like time-series forecasting, anomaly detection, and feature engineering. I’ve worked on diverse projects, including predicting product demand for extended periods, analyzing seasonal trends, and creating hybrid models for day-specific forecasting. For instance, I recently combined outputs from SARIMA and Prophet models to improve accuracy by leveraging each model’s strengths for weekdays and weekends.

I enjoy exploring multiple methodologies to find the best solution to any problem. Working with tools like Python, and advanced machine learning algorithms has allowed me to uncover meaningful patterns in data and translate those into actionable insights.

Beyond the technical side, I focus on simplifying complex findings and presenting them in a way that aligns with business goals. I’ve also tackled challenges like detecting anomalies in financial datasets and selecting the most impactful features for predictive modeling.

I am a lifelong learner, constantly looking to sharpen my skills and expand my knowledge. Whether it’s mastering new algorithms, improving my data visualization techniques, or learning one new word each day to enhance my communication, I believe in growing a little every day.

Looking ahead, I aim to make a meaningful impact in the field of data analytics by continuing to solve complex challenges and contributing to data-driven success stories.