MADHUSAGAR MANCHODI

To work with maximum potential in a challenging and dynamic environment with an opportunity of working diverse group of people and enhancing a professional skills with learning and experience for carrier and organization growth

Successfully completed and received a passing grade in Machine Learning with Python powered by IBM Developer Skill Network

Project-1

Project Name: NLP

EmailsEnvironment : Python, Sk-learn,nltk ,matplotlib/seaborn libraries,Machine learning Algorithms,visual studio,streamlit.

Description : The project aims to detect and identify inappropriate emails in organizations. The system will recognize and flag emails that contain bullying, racism, sexual bias, or hate based on gender or culture. The goal is to maintain a positive work environment, reduce attrition rate, and improve productivity by removing such emails before they cause harm.

Responsibilities:

• To Analysis,Pre-process,Visualization the data of more than fifty thousands Records and minimum number of Features.
• To build and Train a Machine Learning Model using LogisticsRegression,Random Forest Classification, Xgboost Classification, Linear SVC.
• To find the accuracy of the Model Prediction using Classification Reports,Confusion Matrix, AUC Score.

Project-2

Project Name: Forecast Gold Prices

Environment : Python, Sk-learn,prophet,darts ,matplotlib/seaborn/plotly libraries,Forecasting Algorithms,visual studio,streamlit

Description : The objective of this project is to develop a forecasting model for gold prices. The model will be based on historical data related to gold prices and will aim to predict the gold prices for the next 30 days. .

Responsibilities:

• To understand the business problem,analysis,data cleaning,pre-processing,visualization, the data more than five years records and minimum number of features.
• To build and Train a Forecasting models using SARIMAX,fbprophet,xgboost regressor,Nbeats model,Naive seasonal.
• To find the root mean square error of the model prediction using Metrics