Shivani Sharma
Welcome,
My name is Shivani Sharma and I'm currently pursuing engineering in Computer Science from VIT Bhopal University. I am a programming enthusiast, and a curious techie who is always willing to push my boundaries and learn something new .
Data Science ,Data Analytics, Machine Learning,Responsive Web Development and Business Analytics are some of my fields of interests.
Why Hire Me?
Being a passionate programmer and a Data Science Enthusiast I am always very keen on learning new things and brushing up my skills .Working on projects which required in-depth knowledge in a particular field like Data Science and Machine Learning has helped me gain Domain specific knowledge , which I believe is essential for solving real-life problems.
I am a hardworker and believe in giving my best to every project as nothing in life that's worth doing is ever easy and I am willing to work hard .Being a leader at heart I do realise the that no man is an island and hence in order for a project to succeed the team must work in harmony .
If given an opurtunity to serve I will certainly contribute to the growth of the organisation and approch each task with utmost sincerity.
Go-To-Market:Undergraduate and Masters Virtual Internship
I Completed my Virtual Internship under Microsoft over the month of July ,2020 .The internship focused on Preparing a virual experience and working on Business Foundation,Work Ready and Technical GTM Skills
Software Engineering Virtual Experience Internship
I completed my internship under JPMORGAN CHASE &CO over the month of May,2020. In the Internship I was expected to Establish Financial Data Feeds ,develop a website and visualize data with perspective.
PROJECT: ROBODOC
My team qualified for Round 3( semi-final round) of the Ideate:Vision 2030 , during Techfest 2018-2019, conducted by IIT Bombay . Our project aimed at improving the lives of people in rural areas , by providing them with basic healthcare facilities , using Iot and cloud computing .
COMPARING NEIGHBOURHOODS
The project aims on helping emerging businesses / start-ups to decide establishing business in which neighbourhood is more likely to yield them a profit by giving them a statistical and visual analysis of all the small / big businesses around the locality .It states findings , such as the most common places visited by people in that city , the number of same type of businesses ( in our case , Indian Restaurants ) that are present in that city , their ratings , popularity etc. It uses Segmentation and clustering to prepare a predictive model for our customers.Github Repository of Project
