Haneesh B

I am a computer science undergraduate specializing in data analysis and machine learning, with hands-on experience building predictive systems and dashboards. I combine strong academic performance with practical internship and project work to solve real-world problems.

During a Data Analyst internship at Excelerate I focused on data cleaning, visualization, and insight generation using Python, Pandas, and Power BI, producing analytical reports and dashboards to support decisions. I emphasize statistical rigor and clear visual communication to make data-driven recommendations.

My projects include a Solar Flare Forecasting ML system that reached up to 92% prediction accuracy through feature engineering and model optimization, and a spatio-temporal ConvLSTM dust forecasting model achieving 88–91% accuracy. I routinely use TensorFlow, PyTorch, Scikit-learn, and visualization libraries to deliver interpretable results.

I seek to bring my skills in data engineering, model development, and dashboarding to teams that value measurable outcomes, continuous learning, and collaboration to turn complex data into business impact.