chinmayeeverma9

-Exploratory-Data-Analysis-New-York-City-Airbnb-listings-

Querying in MySQL using self joins, CTE , procedures, group by to view the data required Data Cleaning Data Analysis (Q/A) Data Transformation for dashboard visualization

Cardiovascular-disease-analysis-through-R

Objective: To explore various risk factors for cardiovascular diseases in adults Methodology: Analysis and visualisation using different R libraries Findings: An active lifestyle lowers cardiovascular disease risk. High cholesterol, glucose, age, BMI, and MAP correlate positively.

chinmayeeverma9

Config files for my GitHub profile.

Credit-Risk-Analytics-Project

Develop a Python-based credit risk analysis project using a Probability of Default (PD) model to assess borrowers' creditworthiness. Clean and preprocess data, conduct EDA, and implement a fine-tuned supervised learning model. Demonstrate actionable insights and model effectiveness in proactive credit risk management.

EDA-Plamerpenguins-in-R

Nashville-housing-Data-Cleaning-using-SQL

Objective: To enhance the Nashville housing dataset for informed decision-making. Methodology: Employ rigorous SQL data cleaning, advanced queries, and transformations for data integrity and accuracy. Findings: Achieved a refined dataset, ensuring reliability for strategic decision-making in the Nashville housing sector.

NLP-for-Customer-Support-Data

RESUME-BY-LATEX

created my resume using latex

TATA-POWER-Ltd-Stock-Analysis-using-MSExcel

Objective: To conduct a comprehensive stock analysis for TATA Power Ltd. using MS Excel. Methodology: Employed MS Excel for in-depth analysis, highlighting financial trends, risk assessment, and performance metrics. Findings: Provided valuable insights essential for strategic decision-making in TATA Power Ltd. stock investments.

chinmayeeverma9/-Exploratory-Data-Analysis-New-York-City-Airbnb-listings-

Querying in MySQL using self joins, CTE , procedures, group by to view the data required Data Cleaning Data Analysis (Q/A) Data Transformation for dashboard visualization

chinmayeeverma9/Cardiovascular-disease-analysis-through-R

Objective: To explore various risk factors for cardiovascular diseases in adults Methodology: Analysis and visualisation using different R libraries Findings: An active lifestyle lowers cardiovascular disease risk. High cholesterol, glucose, age, BMI, and MAP correlate positively.

chinmayeeverma9/chinmayeeverma9

Config files for my GitHub profile.

chinmayeeverma9/Credit-Risk-Analytics-Project

Develop a Python-based credit risk analysis project using a Probability of Default (PD) model to assess borrowers' creditworthiness. Clean and preprocess data, conduct EDA, and implement a fine-tuned supervised learning model. Demonstrate actionable insights and model effectiveness in proactive credit risk management.

chinmayeeverma9/EDA-Plamerpenguins-in-R

chinmayeeverma9/Nashville-housing-Data-Cleaning-using-SQL

Objective: To enhance the Nashville housing dataset for informed decision-making. Methodology: Employ rigorous SQL data cleaning, advanced queries, and transformations for data integrity and accuracy. Findings: Achieved a refined dataset, ensuring reliability for strategic decision-making in the Nashville housing sector.

chinmayeeverma9/NLP-for-Customer-Support-Data

chinmayeeverma9/RESUME-BY-LATEX

created my resume using latex

chinmayeeverma9/TATA-POWER-Ltd-Stock-Analysis-using-MSExcel

Objective: To conduct a comprehensive stock analysis for TATA Power Ltd. using MS Excel. Methodology: Employed MS Excel for in-depth analysis, highlighting financial trends, risk assessment, and performance metrics. Findings: Provided valuable insights essential for strategic decision-making in TATA Power Ltd. stock investments.