Y Mahitha
Mortha
Summary
Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Overview
4
4
years of professional experience
Work History
Data Analyst
Cognitio Technologies
09.2019 - Current
- Analyzed SAP transactions to build logical business intelligence model for real-time reporting needs
- Transformed project data requirements into project data models
- Designed and developed schema data models
- Researched and resolved issues regarding integrity of data flow into databases
- Documented business workflows for stakeholder review
Education
Computer Science and Engineering -
Sri Venkateshwara Institute of Science and Information Technology
Mathematics and Science -
Narayana Junior College
05.2015
Mathematics and Science -
Narayana E-Techno High School
04.2013
Skills
- Expert in Microsoft Office, with a focus on Excel
- Programming Languages: C, Java, Python
- Databases: MySQL sand SQL Server
- Strong in Project management, Data Analysis and Technical Analysis
Accomplishments
- Paper Presentation – First Place - Annual Technical Fest 2016 - Advantages of using ETL Tools for Data warehousing
- Badminton – Second Place - Sports Fest
Personal Information
Title: Data Analyst
Projects
ONLINE PARKING RESERVATION SYSTEM, Developed a smart parking booking system that provides institutes students an easy way of reserving a parking space online using web portal. We've developed a web application where the whole parking lot of an institute or a university will be visible in the form of a grid which is marked with colours to indicate the availability of that parking space. This solution can be integrated to any university or college's website for easier access to students and faculty. DATA WAREHOUSE CREATION USING ETL TOOLS, Built a data warehouse using the ETL tools for seamless and efficient extraction of reports against large data pools. EMPLOYEE TURNOVER PREDICTION USING PYTHON, Implemented an employee turnover analysis project which is built by using Python’s Scikit-Learn library. In this project, we used Logistic Regression, Random Forest, and Support Vector Machine. We also measured the accuracy of models that are built by using Machine Learning.
Timeline
Data Analyst
Cognitio Technologies
09.2019 - Current
Computer Science and Engineering -
Sri Venkateshwara Institute of Science and Information Technology
Mathematics and Science -
Narayana Junior College
Mathematics and Science -
Narayana E-Techno High School