RAKSHITHA SUBRAYA GOWDA LinkedIn: https://www.linkedin.com/in/rakshitha-subraya-gowda-40b36315b/

● 614-***-**** ● adg6s0@r.postjobfree.com

PROFILE SUMMARY:

Skilled in Python, SQL and Tableau relating business Requirement Gathering, business Process Flow, Data Analysis and Data Modeling. Gained experience on bridging the knowledge and communication gap between Business and Technology channel groups in various situations. Experienced in working with different personalities, and with developing positive and cooperative working environments. SKILLS:

● Machine Learning – Classification, Regression, Clustering.

● Software and Programming Languages - Python, SQL, Tableau, R, VBA/Macros, MS Excel, HTML, CSS, Javascript

● Database - MySQL, Apache Cassandra, Oracle DB, PostgreSQL,

● Visualization - Tableau, Matplotlib, Seaborn, Cufflinks

● Python Packages - Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scikit-Learn

● Tools - JupyterNotebook, MYSQL, PostgreSQL, MS Access, PowerPoint, Excel EDUCATION:

Master of Science in Information Systems GPA: 3.72 Cleveland State University May 2020

Bachelor’s Degree in Computer Science and Engineering Visvesvaraya Technological university, India May 2014 WORK EXPERIENCE:

Data Analyst – Cleveland State University: SQL, Python, Tableau, Machine Learning Oct 2018 – May 2020

● Database management to retrieve, add, update, and manipulate student’s data

● Performed reconciliations to ensure accuracy and completeness of data

● Applied advanced analytics and used critical thinking skills with the goal of increasing multicultural students’ academic success

● Generated insights from student’s record, developed actionable recommendations and presented to the senior management

● Demonstrated professional standards to enhance the development of the department

● Coordinated and participated in events and programs that support multicultural students’ academic success and degree completion Data Analyst – QuEST Global: Python, Machine Learning, MS Access, SQL, Tableau Aug 2014 – Jun 2018

● Involved in fetching large dataset from live locomotives by using SQL joins, sub-queries and standard aggregate functions

● Involved in preprocessing of trip summaries to detect and correct inaccurate record using Python Pandas

● Performed statistical analysis on trip summaries to identify trends or patterns using various regression, classification or clustering approaches that can be used to improve trip optimizer performance

● Built different data models to optimize costs, fuel consumption and made clients understand the robustness of the model

● Developed and automated dashboards using Tableau and gave valuable insights and conclusions on trip summaries

● Developed a strong understanding of the challenges and demonstrate the ability to identify the opportunities that can be acted upon

● Worked with multi-functional team in the organization to develop new ideas and discovered potential solutions

● Identified manual process and applied automation techniques that improved accuracy, efficiency, performance and provided solution for real business challenges which lead to profit growth

● Experience working in an Agile/SCRUM environment with daily stand-up calls facing the client. PROJECTS:

● Online University Search (Web Application) using Apache Casandra: Using Apache Casandra, developed a web application for the students to search for the basic requirements of the university depending on the student transcript. Administered all database objects that required for the building a database including all sequences and packages. Developed an interface using Casandra Query Language (CQL) for accessing the Casandra. [Apache Casandra, HTML, Java Script]

● Predicting Employee Satisfaction: Predicted job satisfaction levels based on individual, work, and geographic factors of employees. Performed data cleaning in Python (Pandas), applied scikit-learn packages to construct Logistic Regression, K-Nearest Neighbors, and support Vector Classifiers to identify 8 most relevant factors impacting job satisfaction. Presented findings in Tableau. [Python Pandas, Numpy, Seaborn, Matplotlib, Scikit-Learn] HIGHLIGHTS AND ACHIEVEMENTS:

● Published a journal “An Additional Security Layer In the Implementation Of SaaS(Software as Service)-A Survey” in International Journal of Distributed and Cloud Computing

● Secured 5th place for the project “RED ALERT’ in YAPPON, India’s largest coding hackathon organized by Microsoft

● Secured 4th place for the project “Implementation of File Security in Cloud Computing” out of 21 groups in VIVACIOUS-14, project exhibition held at VVCE, Mysore

● Recipient of “On The Fly” Award for the best performance at QuEST GLOBAL

Contact this candidate