· Drive the design and build of visualizations and analytics.
· Help formulate and facilitate the engineering of multi-dimensional databases, data models, and visualizations to accomplish the strategic goals of Business Intelligence and Analytics and help facilitate decision making by presenting complex data in a focused manner.
· Built visuals with the help of software such as Tableau and Power BI.
Programming Languages: C, Java, Python
Data Collection ,Data Cleaning,Data Analysis and Visualization
Tableau,Power BI
Databases: MySQL, Oracle
Project Management
Excel
· Cisco Networking Academy: Programming E C.
· Cisco Networking Academy: Programming Python.
.Data Analyst Course Certification-Great Learning
· Coursera: Google UX design.
Introduction to Web Development
Analyzing the data Science Job Market:
This problem statement focuses on analyzing various aspects of data science job listing such as salary range ,required skills(like python,SQL,etc) ,company ratings and other factors that Characterize Job market.We used many coloumns and rows for dataset size. Complex Visulizations,statistical Analysis were done.
Movie recommendation Project:
Created a project that recommends movies based on an individual's likes, dislikes and watch history which can be a fun way to learn more about data analysis and human behavior. Start by asking a large group of participants to rate movies they've seen before. Then created an algorithm that identifies similar responses from different participants. Used this data to identify movies individuals haven't watched yet that other people with similar interests enjoy.
Women Safety Online(twitter) using Machine learning
Project Description: Build to understand how the tweets tweeted affect the women. Sentiment analysis is checked based on the tags used in those tweets.
· Using machine learning algorithms, cluster analysis, categorization of the tweets is performed in different clusters based on emotions.
Done with the help of polarity levels.
· Created a software which removes the harsh images, bad images, Bad texts based on certain level parameters which are categorized and also directly sends the IP address of that person to the Victim. It is fast to process and it can take n number of texts, images etc at one time and classifies and removes all that instantly which avoids women to go through all that.
Technologies used: Machine Learning. Languages used: Python, SQL