Lavanya Theagarajan

• Working with advanced calculations to draw conclusions about data findings.
• Assisting superiors with interpreting data and compiling it in an organized manner.
• Presenting detailed reports each quarter to upper management alongside my apprentice supervisor.
• Organizing quarterly projection data gathered by senior analysts in an orderly way for executive management.
• Reporting bi-monthly data analysis findings to upper management to use in making organizational decisions.
• Participating in collecting, organizing, and interpreting data along with fellow colleagues.

• Preparing and delivering lectures, tutorials and practical classes.
• Mentored engineering graduate students and scholars on subjects such as Data mining, Introduction to statistics, Machine Learning, Data Science with Python and R, Data Analytics and Visualization.
• Preparing and Assessing student assignments, semester examination papers and grading their performance.
• Discussing with students on their progress and/or theirresearch works.
• Publishing the findings related to the project works professional and academic journals.
• Attending meetings and conferences related to research activities with the management.
• Planning courses in consultation with other staff, arrange course timetables and coordinate and supervise teaching assistants to conduct classes.
• Training and supervising instructors for lab and tutorial classes.
• Assessing students’ performance via presentations, assignments, midterm examination and end of semester examinations .
• Supervision of University examination halls June 2012-December 2019.
• Representing the university at conferences and delivering presentations when necessary. Writing proposals to secure funding for research.
• Attending faculty and departmental meetings and voicing concerns or providing suggestions for improvement.

• Lab demonstration and tutoring in a team of instructors under the supervision of senior lecturers.
• Assignment evaluation, Examination invigilation and paper marking.
• Mentored engineering graduate students on subjects such as Business and System Analysis, testing and quality assurance, and Network Security (Encryption and Decryption).
• Workshops: Weekly academic workshops to be held where possible to assist students with learning.

Doctor of Philosophy (Ph.D) 2012 - 2019 Bharath University, Chennai, India.

My research objectives includes:

• Design of Ensembles with SVM KERNELS for diabetes data set.
• Design using KNN method for accuracy of the data set.
• Design using BAYES algorithm for enhanced dataset.
• Design usingRANDOM FORESTS AND DECISION TREES algorithms.

Post graduate in Computer Science (M.Tech) 2003-2005 Bharath University, Chennai, India.

Majoring Network Security and Computer applications.

Bachelor of Engineering in Computer Science (B.E) 1999-2003 Bharath University, Chennai, India.