Swati Tyagi

• Implemented House predicting pipeline using Machine learning.
• Exploratory data Analysis is performed to get better insights of data.
• Performed various Visualizations for better understanding of relationship between the data.
• CI/CD pipeline is implemented using GITHUB ACTIONS.
• The front end is implemented using Flask Framework.
• finally it is deployed on heroku.
• link to access it is :

ML API (bostonhousepricingpredict.herokuapp.com)

• Created data visualization graphics, translating complex data sets into comprehensive visual representations.
• Applied appropriate data science techniques to solve business problems.
• Identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques.
• Performed advanced data extraction and data manipulation.

• Learned new skills and applied to daily tasks to improve efficiency and productivity.
• Carried out day-to-day duties accurately and efficiently.
• Collaborated with team members to achieve target results.
• Identified issues, analyzed information and provided solutions to problems.
• Developed FAQ bots
• Developed Conversational Bots.
• Proved successful working within tight deadlines and fast-paced atmosphere.

• Led projects and analyzed data to identify opportunities for improvement.
• Developed a bot which is implemented in RASA framework.
• It has the functionality of retrieving the requested song from youtube videos.
• The bot has been integrated with youtube API.
• Voice-Based commands are enabled using speech-to-text and vice-versa.
• Fallback mechanism is also intentionally programmed to avoid any unwanted replies from bot.
• bot is named as Swara.
• In the production mode the interactive training is performed through RASA X.
• it is integrated with Whatsapp throughTwilio .
• NGROK is used to export the link of the local .it is used to test the bot in development phase.

• link to the website SurSargam https://swatipython.pythonanywhere.com
• Developed a website based on Django framework.
• Extensively utilized the functionality of the framework
• Used its default SQLite for storing data.
• keeping in mind the diverse devices for accessing it implemented responsive website.
• Bootstrap is also used.
• It is a website which has the following functionalities:
• Signup,Login and creating and adding data to playlist is feasible.
• one place for listening all the favorites.
• Hosted it on "python anywhere.com"

• Translated business requirements into logical and physical file structure designs.
• link to access: scrapflip.herokuapp.com
• This project is designed to scrape the reviews about a particular product, from Flipkart.
• It is implemented using Flask framework in Python.
• Mongodb is used as a database for storing the reviews from the website, if they are not in the database already.
• the project is finally deployed on Heroku.