Rakshitha Prasad

Motivated individual with strong grasp of machine learning models. Proficient in optimization algorithms and data science applications. Skilled in analyzing datasets to generate actionable insights. Eager to collaborate with teams in analyzing large datasets for meaningful insights.

Software Developer Trainee - Data Collection Infotech pvt limited

(2025-02)

• Engineered data driven solutions by developing SQL queries across SSMS, MySQL, and PostgreSQL to process and analyze road crack/distress data as well as employee data, improving data accuracy and workflow efficiency for infrastructure and HR analytics projects.
• Built GIS/spatial data processing workflows using PostGIS and QGIS, enabling geospatial analysis of roadway conditions and optimized geospatial queries and data pipelines.
• Automated reporting and data validation tools using Python and C# in Visual Studio, reducing manual processing time and increasing the reliability of recurring data operations.
• Applied best practices in feature engineering, modular scripting, and version control, streamlining application development and facilitating team collaboration in a cross functional environment

Data Science Consultant, Intern - Rubixe AI solutions

(2024-07 - 2024-10)

• Optimized IT Service Management (ISTM) processes for a client project by developing machine learning models to predict high-priority tickets, forecast quarterly and annual incident volumes, and automate ticket categorization by priority and department. Achieved 95% accuracy in predicting critical incidents using Random Forest and improved forecasting reliability with a fine-tuned SARIMA model.
• Applied hyperparameter tuning, feature engineering, and advanced modelling techniques (Random Forest, SARIMA, and CatBoost), enhancing model performance and delivering insights for workflow optimization.

B.E - Computer Science - Channabasaveshwara Institute of Technology, Tumkur (2020 - 2024)

II PUC - Sri Sapthagiri PU College, Tumkur (2019 - 2019)