1. KUMBHA SRINIVAS RAO | 12GG20014
APPLIED GEOLOGY (M.Sc. 5Y)
EDUCATION
Year Degree/Exam Institute CGPA/Marks
2017 M.SC(5YR) IIT Kharagpur 6.28 / 10
2010 Board of Intermediate Education,A.P SRI CHAITANYA jr.college 83.5%
2008 SSC Z.P.HIGH SCHOOL,SANKARABHARATHIPURAM 81%
AWARDS AND ACHIEVEMENTS
Recipient of the SHE-INSPIRE (Innovation in Science Pursuit for Inspired Research) scholarship, awarded by Department of Science
and Technology, Government of INDIA for 0.001% top students in Science
PROJECTS
Term project - Imposter Detection using keystroke dynamics
•Extracted hold times and latencies of various keys from the keystroke data of four different users with an objective to detect an
imposter •Achieved an accuracy of 85.3% on training dataset and an accuracy of 91% on test data using logistic regression model
M.S.C Thesis
Study on sulphides, Under the guidance of Prof. Kamal Lochan Pruseth (2016-Present)
•Minerology and Metamorphic conditions of Kayar-Ghughra lead-zinc deposits of Rajasthan
•Mounted blocks are made by segminting the rocks which are analysed for minerals using an Optical microscope
INTERNSHIPS
Oil and Natural Gas Corporation, Rajahmundry May-June 2016
under the guidance of Pothana Prasad (Sr.Geophysicist)
•Well Logging techniques and its geological applications
•Studied different logging techniques and petrophysical properties of rocks
•Studied Data processing techniques of logs and geology of Krishna- Godavari basin
CERTIFICATIONS
The Analytics Edge Course,edx.org
•Implemented different analytics methods,including Linear regression,Logistic regression,andClustering on datasets provided in
R •Trained linear regression to predict the wine price and logistic regression model to forecast the winner of vote poll on two
different datasets provided
•Optimized the trained models mathematically by observing R-squared values for each setof features
•Implemented k-Means clustering with k as 2 to predict heart-attack in advance
COMPETITION/CONFERENCE
Deodorant likability Prediction by SG Analytics, IIT Kharagpur March'16
•Worked as a team on dataset of about 15,000 instances and 200+features to extract the key features that affect the likability of
deodrant •Built Logistic Regression model with the set of features obtained by performing chi square feature selection method
•Achieved cross validation accuracy of 81% and presented business insights on the key features that affected the likability of deodorant
Sanjeevani, Automated Disease Diagnosis Product 2013-14
•Proposed a product that automates the diagnosis of diseases including,Malaria,Dengue,AIDS by collecting blood sample from the
user •Model examines the Blood sample of the user using available diagnosticcards of various diseases and suggests medication
SKILLS AND EXPERTISE
Programming languages: R, C , html
IDE and Software : RStudio, MATLAB
Operating Systems: Windows
courses taken : An Introduction toR ,AnalyticsEdge,Data Scientist toolbox.
EXTRA CURRICULAR ACTIVITIES
•Member of Gold winning Inter Hall Choreography, Nehru Hall of Residence, 2013-14
•Member of Silver winning Inter Hall Data Analytics team, Nehru Hall of Residence, 2015
•Member of Gold winning Inter Hall Athletics team, Nehru Hall of Residence, 2013-14
•Member of product design Team, Nehru Hall of residence, 2013-14
•Member of Gold winning Inter Hall hockey team for two consecutive years, Nehru Hall of Residence, 2013-15
•Successfully completed the course of National Sports Organization (NSO) in health and fitness at IIT Kharagpur
Please note if any item is marked as '!' the same is not verified by CDC, IIT Kharagpur.