Suryateja Chalapati's Projects
Advanced SQL querying and database programming applications in Oracle and MySQL.
ML model that predicts credit rating based on various KPI's like Income, Spending, Education etc.
ML model that predicts the house price based on various KPI's like listprice, days on market, sqft etc.
ML models to predict medical expense based on various KPI's like income, education, social security benefits etc.
ML model to predict mile per gallon on a vehicle based on various KPI's like make, weight, horsepower, displacement etc.
Full-stack web application built and hosted on Google Cloud Platform (GCP) for a Data Science research study.
Analysis of variance (ANOVA) on automobiles based on multiple KPI's.
Big Data ML project to predict patient no-shows at clinics by building a Data Science pipeline on Databricks.
A tableau project on visualizing car sales metrics.
Multiple regression project to predict car price based on various KPI's.
Image classification of various fruits using TensorFlow and Convolutional Neural Network techniques.
ML model to detect credit card fraud based on multiple KPI's
ML classification model to predict customer churn based on various KPI's like billing, payment method, dependents, mode of promotion etc.
Python programming on IRIS, Housing datasets to build ML models as part of data science coursework.
Designing a database, querying, analytics and reporting.
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
A Distributed Information Systems MVC project to display dynamic content on a web-page.
Generalized linear model techniques applied to building ML models on customer spend data based on various KPI's.
Natural language processing project to predict growth from emerging technologies from SEC 10K and YouTube data.
Natural language processing project where we perform similarity analysis on Kickstarter text data in different time frames.
Linear mixed effects model (LMER) to predict item sales based on various KPI's like price, type, weight, outlet etc.
Retail problems that are solved leveraging the linear programming methods by employing math optimization techniques.
Simple regression problem to predict crimes by population done as part the statistics class.
ML model to predict income range (Balanced, Binary) based on various KPI's like work sector, education, marital status, hours worked per week etc.
Multi-level Classification (Unbalanced Data) project to predict if a given file is a malware and of what type (Level of quarantine required).
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Machine learning Classification project to predict tags from user queries on Stackoverflow.
ML models for Multi level data on housing for predicting prices based on various KPI's like income, poverty, minimum wage, mortagage, GDP etc.
Simple Multiple Regression problem to predict vehicle price based on various KPI's done as part of statistics coursework.
Data visualization project on NASA missions and astronaut data from Kaggle.