RAMA KRISHNAM RAJU GOTTUMUKKALA

Accomplished Software Engineer at Sparc Cyber Tech Pvt Ltd, specializing in no-code tool testing and app development. Expert in Flutter Flow and Firebase, I reduced development time by 40% while enhancing user experience. Proficient in SQL and data cleansing, I excel in translating complex requirements into innovative solutions, demonstrating strong analytical and collaborative skills.

Predicting The Chance Of Admit For MS Aspirant, The data has 9 columns i.e., they are Serial No., GRE Score, TOEFL Score, University Rating, SOP, LOR, CGPA, Research, and the target variable being ‘Chance of Admit’ and has 400 rows., Data Acquisition: The first step of the project is acquiring data which I potentially collected from Kaggle., Data Exploration and Visualization: Exploring and visualizing the dataset, cleaning and observing the relevance of every feature., Data Pre-Processing: Data Preprocessing is the key factor in Machine-Learning. In my current project I used this process to clean and remove any irrelevant data., Model Evaluation and Validation: Model is tested for performance in its Benchmark State and the Optimized State respectively., Optimization: The naive model is optimized by the application of GRIDSEARCHCV which helps in tuning the parameters optimal for the model.

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