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T SIVA RAMA SARMA
 Contact Nos: 86887 22270, 95539 59934, 040 4014 6758 Email Id: sivatheer1@gmail.com
ASSOCIATE CONSULTANT-TATA CONSULTANCY SERVICES,HYDERABAD
Mathematical Modeling  Data Mining Techniques  Research and Development
Career spanning 14 years of work experience
Seeking to be an effective catalyst in being the vanguard of research projects and data mining as…
SCIENTIST-MATHEMATICAL MODELING
Self-motivated, results-oriented scientific programmer with documented track record of success in
spearheading all facets of statistical data analysis and data mining techniques, culminating to successful
process and product development in the IT sector. Well-honed skills in complete life-cycle development
process of an IT product. Strongteam player with sound organizational and administrative skills. Expertise in
problem resolution with the ability to handle high pressure situations with great objectivity . Exemplary
communication skills and interpersonal skills facilitating superior coordination between departments and
teams.
AREAS OF EXPERTISE
 Mathematical Modeling
 Statistical Analysis
 Data Analysisand Data
Mining
 Research and Developmentin
Data Mining
 Java and C++
 Hadoop Mapreduce
framework
 Scientific Programming
 Research Publications
 Communicationand
Interpersonal Skills
 Team Management
 ProactiveLeadership
WORK EXPERIENCE
TATA CONSULTANCY SERVICES LIMITED, HYDERABAD
Associate Consultant (2005 till date)
Current Responsibilities:
 Currently am in the role of Data Scientist working on a recommender system (application of data mining
in retail) for Titan.
 Titan Recommendation engine – Designed some of the key modules for titan recommendation engine
like recommendations for you variants, often bought together, bought X - bought Y scenarios using
classification, regression and association rule mining techniques.
o Involved in the development of recommender system quality metrics related dashboards.
o Also involved in user base segmentation for marketing purposes.
o Another context were top-k products recommendations
o Recommendations for you based on user purchase history, transaction history, preferential
patterns, demographical profile etc.

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o All the solutions were developed using mapreduce framework.
 NBO for TCS Rewardz– The key goal of the system is to provide next best offers for each customer
belonging to a segment based on organization’s business goal and customer’s needs using KNN
Classification, CART and Random Forest, Kmeans etc.
 Data quality mining for Enterprise Data Management - Designed modules pertaining to ascertaining
the quality of data using association rule mining and improving the quality using statistical learning
techniques for missing value imputation, outlier management and data understanding.
 TCS P2Perfect – TCS PKPDanalytics engine is a newly developed modeling and simulation platform to
process and analyze the plasma concentration vs time data of the new drug molecules using the
mathematical models and algorithms to compute the PK & PD parameters of drugs which in turn are
used in studying the PK / PD properties of the drug. Algorithms used are nonlinear regression, grid
search, genetic algorithm , particle swarm optimization for function optimization etc.
 TCS RACE – TCS RACE is a recovery analytics platform for collections enhancement.. Some of the key
features of theevolved system are ensembled feature ranking capability, KNN classification, CART and
logistic regression are the classification techniques employed to identify payment likelihood
probabilities of different customers.
 Extending key technical advice in Mathematics and IT technical aspects to drugs and product
development teams.
 Coordinating between scientific team and technical team so as to smoothen operational procedures.
 Applying Statistical and Mathematical techniques and incorporating them in the tool being developed in
house by identification of population PKPD (Pharmacokinetics and Pharmacodynamics).
Achievements:
 Played a key role in mining of complex large-scale biological data and using statistical and Machine
learning techniques
 Successfully effectuated several variable selections and data division algorithms to develop ADME
models.
 Gained substantial expertise in Linear Mixed effects Modeling and its application in Population PK
studies.
 Instrumental in development of SDA (statistical data analysis) module of SilicoCyte for Micro array data
analysis.
SIRI TECHNOLOGIES PRIVATE LIMITED, BANGALORE
Senior Member-Technical Staff (2003 to 2005)
Achievements:
 With expertise developed a tool to analyze gene expression data using K-Means Clustering, Principal
Component Analysis, Self Organizing Maps, Lowess Regression and various other Explor atory Data
Analysis Techniques.
 In another project named, Key role design and implementation of two key layers in the system - Socket
transport layer and Client user interface layer using Qt API in Timelogic project. Successfully executed
XML parsing using QDOM API.
 Significantly contributed as a scientific algorithm developer by forming an interface between scientific
team and the developer team.
SILVERLINE TECHNOLOGIES, HYDERABAD.
Software Engineer (2001 to 2003)
Achievements:

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 Played a central role as a team member of the developed Standard Expense Management System to allow
card member to complete his/her expense report online using Java Beans, JSP, Servlets, and XML.
 Developed the components in conformance to the design document framed in MVC architecture.
 Prepared low level design documents for the same.
TECHNICAL SKILLS
 Repeated Measures Data Analysis using Linear Mixed Effect Modeling.
 Parameter Estimation in ODEs and Non-Linear Regression.
 VariableSelectionAlgorithmsusingheuristic search techniques likeParticle Swarm Optimization and Genetic
 Algorithmsand Trainingset Selection algorithmslikeActivityBinning,Kennard-StoneAlgorithm and D-optimal
Designs.
 Multiple Linear Regressions and Logistic Regression.
 Cluster Analysis like K-Means Clustering, Self Organizing Maps.
 Principal Component Analysis for dimensionality reduction.
 Multivariate Adaptive Regression Splines (MARS).
 Genetic Function Approximations as a variable section algorithm.
 K-Nearest Neighbors as classification techniques.
 Utilizing parallel computing (JAVA RMI framework) for better speed up times in some variable selection
algorithms.
EDUCATION
 M.Phil., Mathematics, University of Hyderabad, India, 1996
 Master of Sciences, Mathematics, Osmania University, 1994
 B.Sc., Osmania University,1991
 Sun Certified Java Programmer
IT SKILLS
 R.
 Java, C++, Mapreduce.
 SQL Server.
 Windows, Linux.
PUBLICATIONS
 S.B.Gunturi,S.S.Theerthala,N.K.Patel,J.Bahl,and R.Narayanan.“Predictionofskin sensitization potentialusing
D-optimal design and GA-kNN classi_cation methods.”Taylorand Francis Limited, 2010, Theerthala Sarma 2
August 2011.
Date of Birth: 24th February 1971
Languages Known: English, Hindi and Telugu
Address: Papali Residency, Flat No. 103, Padma Rao Nagar, Secunderabad

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