Saihith Reddy Suram

Highly motivated and detail-oriented professional with a passion for utilizing data to enhance business performance and customer experience. Proficient in leveraging data mining, data visualization, and programming languages to develop actionable solutions to business challenges. Experienced in monitoring database performance, troubleshooting issues, and optimizing database environments. Possesses strong analytical and problem-solving skills, with deep knowledge of database technologies and systems. Effective communicator able to work independently or collaboratively to achieve objectives.

ADS _ ADS Classification, Aim is to cleaning and preprocessing text data, extracting numerical features using techniques like TF-IDF or word embeddings, selecting and training a suitable machine learning algorithm, evaluating its performance, deploying the model for classification, and maintaining its effectiveness through regular monitoring and updates. This systematic approach help me to enables the development of an efficient NLP and machine learning-based solution for distinguishing between ads and non-ads in text records, facilitating improved decision-making and business processes.

Global Superstore Sale prediction, Aim is to clean the data, generate basic insights from the data and to predict the sales of certain products available in the Superstore., 61000 rows and 24 columns, Pandas library, Linear models (Lasso and Ridge), Non-linear models, In linear models like 'Lasso and Ridge', the 'RMSE' score is less when compared to non-linear models. 

Heart Disease prediction, Aim is to clean the data, generate basic insights from the data and to predict whether a person is suffering from heart disease or not., 303 rows and 14 columns, Nonlinear models, 'Adaboost Classifier' is giving the best score. 

• Achieved Silver Titan certificate in HackerRank.
• Completed a certified Data Science course and project with an excellent grade of 85.7%.
• Lead Developer: Ranked 3rd in Exafluence Hackathon 2021, a 3 days hackathon conducted by the Exafluence organization which secured me an internship in the organization.