H Sri Harsha

Title: Stock Price Prediction

Description :

• The objective is to predict the closing price of the stock market for the next 10 days.

Role:

• Led the project from conception to implementation, collaborating with a team of data scientists.
• Developed and deployed a stock price prediction model that significantly reduced computational time compared to manual methods, effectively solving the problem within a shorter time frame. Achieving a MSE value 0.0025.

Tools and technologies:

• Python, packages and required libraries
• ARIMA model and Neural networks

Title: Automated Customer Support Chatbot

Description :

• Developed a chatbot that can handle customer queries, provide information, and perform basic troubleshooting steps

Tools and technologies:

• NLP, Regression techniques

Title: Customer Churn Prediction

Description :

• Implemented a predictive model achieving a accuracy rate of 80%

Tools and technologies:

• Logistic Regression, Cross validation, Hyper Parameter tuning.

• Implemented Data Analysis : Performed exploratory data analysis (EDA) using Python libraries such as Pandas, NumPy, and Matplotlib to identify trends and patterns in Stock data.
• Developed Machine Learning Models : Built and implemented machine learning models using Sciklearn and Neural Networks to predict stock data with a Mean-Squared-Error of 0.0025.
• Data Visualization and Reporting : Created interactive Visualization and plotted graphs using Matplotlib library to present key insights to stakeholders.
• Collaborative Projects : Worked within an Agile team to deliver data-driven solutions, actively participating in sprint planning and retrospective meetings.