Rakshitha Subraya Gowda
PROFILE SUMMARY:
Skilled in Python, SQL and Tableau relating Data Analysis and Data Modeling. Gained experience on turning numbers into meaningful
information to influence decision making. 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, SAS, HTML, CSS, Javascript, XML
? 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, Google Analytics, Google Tag Manager
EDUCATION:
Master of Science in Information Systems GPA: 3.72
Cleveland State University May 2020
Bachelor’s Degree in Computer Science and Engineering GPA: 3.80
Visvesvaraya Technological University, India May 2014
WORK EXPERIENCE:
Data Analyst – Cleveland State University: SQL, Python, Tableau, Microsoft Excel, Machine Learning Oct 2018 – May 2020
? Involved in acquiring data from primary, secondary data sources and database management to retrieve, add, update, clean and manipulate student’s data
? Condensed dataset to concise, simple and easily understandable data format
? Involved in analyzing, interpreting, visualizing student’s data using Tableau and developed strategies which helped in 40% increase in students’ academic success
? Created reports on the identified recommendation and presented it to the Director of the department through different visualization
? Involved in financial analysis of the department and helped in maximizing cost effectiveness
? 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, SAS, MS Excel, VBA, Oracle, SQL, Tableau Aug 2014 – Jun 2018
? Involved in gathering large dataset from live locomotives by using SQL joins, sub-queries and standard aggregate functions
? Involved in data cleaning, preprocessing of trip summaries to remove corrupt records in the dataset for further statistical analysis using Python Pandas
? Identified trends, patterns in trip summaries using various regression, classification or clustering approaches
? Performed analysis on trip summaries using descriptive, inferential statistical methods and identified recommendations which optimized the locomotive fuel consumption by 60%
? Developed dynamic, scalable dashboards using Tableau and gave valuable insights which answered business questions
? Worked with multi-functional team, gathered essential information to identify opportunities for improvement
? Involved in automation using VBA that provided solution for real business challenges which lead to 35% 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 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]
? Titanic-Machine Learning from Disaster: Built predictive model that predicted what sort of people were more likely to
survive using passenger data. [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
? Recipient of “On The Fly” Award for the best performance at QuEST Global
PROFILE SUMMARY:
Skilled in Python, SQL and Tableau relating Data Analysis and Data Modeling. Gained experience on turning numbers into meaningful
information to influence decision making. 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, SAS, HTML, CSS, Javascript, XML
? 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, Google Analytics, Google Tag Manager
EDUCATION:
Master of Science in Information Systems GPA: 3.72
Cleveland State University May 2020
Bachelor’s Degree in Computer Science and Engineering GPA: 3.80
Visvesvaraya Technological University, India May 2014
WORK EXPERIENCE:
Data Analyst – Cleveland State University: SQL, Python, Tableau, Microsoft Excel, Machine Learning Oct 2018 – May 2020
? Involved in acquiring data from primary, secondary data sources and database management to retrieve, add, update, clean and manipulate student’s data
? Condensed dataset to concise, simple and easily understandable data format
? Involved in analyzing, interpreting, visualizing student’s data using Tableau and developed strategies which helped in 40% increase in students’ academic success
? Created reports on the identified recommendation and presented it to the Director of the department through different visualization
? Involved in financial analysis of the department and helped in maximizing cost effectiveness
? 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, SAS, MS Excel, VBA, Oracle, SQL, Tableau Aug 2014 – Jun 2018
? Involved in gathering large dataset from live locomotives by using SQL joins, sub-queries and standard aggregate functions
? Involved in data cleaning, preprocessing of trip summaries to remove corrupt records in the dataset for further statistical analysis using Python Pandas
? Identified trends, patterns in trip summaries using various regression, classification or clustering approaches
? Performed analysis on trip summaries using descriptive, inferential statistical methods and identified recommendations which optimized the locomotive fuel consumption by 60%
? Developed dynamic, scalable dashboards using Tableau and gave valuable insights which answered business questions
? Worked with multi-functional team, gathered essential information to identify opportunities for improvement
? Involved in automation using VBA that provided solution for real business challenges which lead to 35% 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 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]
? Titanic-Machine Learning from Disaster: Built predictive model that predicted what sort of people were more likely to
survive using passenger data. [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
? Recipient of “On The Fly” Award for the best performance at QuEST Global