This document provides a summary of Anupama Guvvala Venkata's professional experience and qualifications. She has over 25 years of experience in statistical data analysis, database management, business intelligence, and product management. She is currently working as a Lead Scientific Officer at ICRISAT Patancheru, Hyderabad. She has extensive experience conducting statistical analysis using software like SAS, STATA, and SPSS. She is proficient in statistical techniques like regression analysis, data mining, and has experience developing databases and data warehouses. She holds an MBA in IT Systems, M.Phil. in Statistics, and is currently pursuing a Ph.D. in Statistics from Osmania University.
SPSS is powerful to analyze Educational data. This paper intends to support educational leaders the benefits of data analyzing with applied SPSS. It showed the data analysis of qualified rates such as bad, neutral, good and very good on the subjects. As SPSS's background algorithms, it showed the cross tabulation algorithm for cross tabulation tables. And then Sample data ‘course evaluation.sav' was downloaded from Google and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. Aung Cho | Aung Si Thu ""Educational Data Analysis by Applied SPSS"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25092.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/25092/educational-data-analysis-by-applied-spss/aung-cho
Education analytics – reporting students growth using sgp modeleSAT Journals
Abstract Every part of the education sector is struggling to produce actionable data favorable for their growth. The primary stakeholders of this sector are unable to take effective and productive decisions as the huge amount of data collected is not being processed properly. A lot of striking data are lost in the process as there are no schemas available for extracting the intelligence from them. Various external factors affecting the student’s growth are not identified and thus the parents and teachers fail to understand the real reason behind the student’s performance. Hence to measure student's growth SGP (Students Growth Percentile) can be used. It is also necessary to keep tab on student's future marks so as to take precautionary measure in case of negative growth. Here, time series analysis and forecasting can be used. Regression is use to calculate impact of any external factors on overall performance. When all these identified external myriad data along with the academic data is captured, processed using analytical models such as R. The stakeholders will be able to understand the core reasoning behind progress rate and thus take decisions accordingly. This is the fundamental idea behind Education Analytics. Keywords - Analytics, Education Analytics, Student’s Growth Percentile, Marks Forecasting, Student’s growth
All I did during my 5 years at the University. The Projects and the thesis, everything I did was full of my passion and love for architecture, design, history and 3d rendering.
Enjoy!
SPSS is powerful to analyze Educational data. This paper intends to support educational leaders the benefits of data analyzing with applied SPSS. It showed the data analysis of qualified rates such as bad, neutral, good and very good on the subjects. As SPSS's background algorithms, it showed the cross tabulation algorithm for cross tabulation tables. And then Sample data ‘course evaluation.sav' was downloaded from Google and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. Aung Cho | Aung Si Thu ""Educational Data Analysis by Applied SPSS"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25092.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/25092/educational-data-analysis-by-applied-spss/aung-cho
Education analytics – reporting students growth using sgp modeleSAT Journals
Abstract Every part of the education sector is struggling to produce actionable data favorable for their growth. The primary stakeholders of this sector are unable to take effective and productive decisions as the huge amount of data collected is not being processed properly. A lot of striking data are lost in the process as there are no schemas available for extracting the intelligence from them. Various external factors affecting the student’s growth are not identified and thus the parents and teachers fail to understand the real reason behind the student’s performance. Hence to measure student's growth SGP (Students Growth Percentile) can be used. It is also necessary to keep tab on student's future marks so as to take precautionary measure in case of negative growth. Here, time series analysis and forecasting can be used. Regression is use to calculate impact of any external factors on overall performance. When all these identified external myriad data along with the academic data is captured, processed using analytical models such as R. The stakeholders will be able to understand the core reasoning behind progress rate and thus take decisions accordingly. This is the fundamental idea behind Education Analytics. Keywords - Analytics, Education Analytics, Student’s Growth Percentile, Marks Forecasting, Student’s growth
All I did during my 5 years at the University. The Projects and the thesis, everything I did was full of my passion and love for architecture, design, history and 3d rendering.
Enjoy!
In the context of Nepal, security market are not very efficient and investors have not any uniformity in their investment decision. This paper attempts to explore
various factors in explaining the behavior of investment decisions in Nepal and for prediction of the future prospects of Nepalese stock market in terms of
investors' expectation.
Dear Connections,
The current M.A. Development Studies cohort at TISS Hyderabad is all set to graduate in March 2020. We are a group of enthusiastic individuals hailing from varied fields of study with the sole motivation to bring about socio-economic-political change in the domain of welfare and development.
We have undergone rigorous classroom training in Data Analysis using contemporary software such as STATA, SPSS and Advanced Excel. We are also well versed with Quantitative & Qualitative Research, Project Management and Impact Evaluation among other industrial requisites for social scientists.
If you or your organisation have a placement opportunity for us, do get in touch with us at tiss.ds.ipc@gmail.com. Please find our Placement Brochure.
Samuel Safo, K. Allotey (MPhil) has over five years of professional experience working as a socio-economics expert on development programs such as agricultural value chain among smallholder farmers and nucleus farmers in the Upper West region. I have also led a socio-economic study on assessing farmers’ willingness to pay under the Pwalugu Multipurpose Project on 20,000 ha irrigation schemes in the North East region. I have vast experience working on international donor-funded projects in rural livelihood, natural resource management, and rein fed rain rice intensification. I hold a Master of Philosophy degree in Innovation Communication and a final year Ph.D. candidate (University for Development Studies) and also a Bachelor of Science degree in Agribusiness (University for Development Studies).
In the context of Nepal, security market are not very efficient and investors have not any uniformity in their investment decision. This paper attempts to explore
various factors in explaining the behavior of investment decisions in Nepal and for prediction of the future prospects of Nepalese stock market in terms of
investors' expectation.
Dear Connections,
The current M.A. Development Studies cohort at TISS Hyderabad is all set to graduate in March 2020. We are a group of enthusiastic individuals hailing from varied fields of study with the sole motivation to bring about socio-economic-political change in the domain of welfare and development.
We have undergone rigorous classroom training in Data Analysis using contemporary software such as STATA, SPSS and Advanced Excel. We are also well versed with Quantitative & Qualitative Research, Project Management and Impact Evaluation among other industrial requisites for social scientists.
If you or your organisation have a placement opportunity for us, do get in touch with us at tiss.ds.ipc@gmail.com. Please find our Placement Brochure.
Samuel Safo, K. Allotey (MPhil) has over five years of professional experience working as a socio-economics expert on development programs such as agricultural value chain among smallholder farmers and nucleus farmers in the Upper West region. I have also led a socio-economic study on assessing farmers’ willingness to pay under the Pwalugu Multipurpose Project on 20,000 ha irrigation schemes in the North East region. I have vast experience working on international donor-funded projects in rural livelihood, natural resource management, and rein fed rain rice intensification. I hold a Master of Philosophy degree in Innovation Communication and a final year Ph.D. candidate (University for Development Studies) and also a Bachelor of Science degree in Agribusiness (University for Development Studies).
B Suresh Lal is currently working as Professor, Head and Chair of the Department of Economics, Kakatiya University Warangal-India. He has 25 years of active teaching and research experience. Prof. Lal is a reputed scholar on Environmental and Development Economics. He is serving as Editor to the International Journal of Environment & Development and Editorial Board Member of 45 International Journals. He has authored 20 books and edited and published 125 articles in peer-reviewed international journals and conferences. He completed five research projects, guided 17 PhD and MPhil scholars, and delivered 315 Talks to college students on various contemporary issues and has 32 years of community and youth service experience.
1. ANUPAMA GUVVALA VENKATA
Mobile: +91-7036883739, +91-40-27824406, +91-40-30713525 ~ E-Mail: g.anupama@cgiar.org
Seeking senior level assignments in Statistical Data Analysis / Analytics / Database Management /
Business Intelligence / Product Management with a high growth oriented organization
Professional Synopsis
A dynamic analytical professional with 25 years of extensive
experience in the areas of Statistical Analysis, Product
Management, Database Management, Web Development/
Maintenance, Research & Analysis.
Presently working with ICRISAT Patancheru, Hyderabad as Lead
Scientific Officer.
A keen analyst with experience in synthesis, modeling & data
analysis.
Have extensively worked on statistical analysis software like
SAS, STATA, SPSS and SYSTAT.
Well versed with interdependent multivariate data analytical
techniques with the ability to apply data mining techniques to
business problems.
Sound knowledge of Statistical Tools like Multiple Linear
Regression, Panel data analysis,Factor Analysis,Cluster Analysis,
Correspondence Analysis, Discriminant Analysis, Canonical
Correlation Analysis.
Long experience in data management of theme databases and
exposure to webpage development.
Familiarity with databasemanagement systems like Sql Server
and Oracle and led the team in data warehouse development,
Possess interpersonal skills that have been put to good use
while interfacing with management authorities for mapping
requirements & rendering appropriate solutions.
Detail oriented, efficient with strong organisational, analytical
& interpersonal skills; ability to work in virtual team environment.
Diverse verticals experience – Statistics, Economics, Information Technology, Academic Education,
Sociology, and Population Research.
Education
Registered for Ph.D in Statistics in Osmania University in 2013 and working on thesis topic ‘Capital
accumulation in rural India – A statistical perspective’
MBA in IT and Systems from ICFAI University in 2008.
M.Phil. in Statistics from OU department of Statistics, Hyderabad in 1991.
- Dissertation: Double sampling plan - a goal programming approach.
M.Sc in Statistics from Osmania University in 1988.
PG in diploma in Computer Applications from Osmania University in 1989.
Statistical Analysis
Data Analysis
Database Management
Scientific Research
Scripting Technical Content
Market Analysis
Business Intelligence
Commercial / Technical Support
Teaching
Budget Development
Webpage Development
Capacity Building
Internet Research
2. Proficiency Forte
Co-authored some research papers and presented in International Conference
Conducting and managing projects related to the statistical analysis of data.
Testing and assessing new statistical analysis methods and competitive Softwares for continual
improvement of business and information solutions.
Preparingdetailed documentation specifications such as analysis and research results for internal and
external distribution/publication.
Identifying and evaluating statistical models to analyze data; provide business recommendations to
clients.
Creating clear and easy to understand reports according to customer needs and/or specifications.
Demonstrating to internal/ external customers how analysis can be implemented to maximize
business strategies
Integrating data analysis with domain expertise to make sound strategic recommendations.
Career Highlights
International Crops Research Institute for the Semi Arid Tropics - ICRISAT
Since Apr’91
As Lead Scientific Officer
Functioning as Scientific officer: Research Program on Markets, Institutions,, Policies.
IT Skill Set
Operating System : DOS, Windows versions including XP,
VMS in VAX systems
Statistical Packages : SAS, STATA, SPSS
Technical Graphing : Freelance, MS-Excel
Data Mining Packages : SAS, SQL 2000
DBMS Ms Access, Oracle, Sql Server
Scientific Computing : MS-Excel, SAS
Packages and software : Basic Cobal, FORTRAN, Visual Basic
Web publishing : Macromedia Dreamweaver
Mapping (GIS) software : Arcview
Presentational software : Ms PowerPoint
Project management software : Open Project
Others : Ms-Word, Ms-Outlook
Attended several workshops/conferences over the long tenure at ICRISAT
Personal Details
Contact Address : Flat No. 203, SMR Vinay Heights, Mettugada, Secunderabad-500017.
Date of Birth : 9th August 1966
Passport : J0240626
List of publications:
Anupama, G V and Deb, U and Bantilan,C (2014) Role of seasonal migration on asset accumulation and
moving out of poverty:The case of dokur village in telangana,India. In: Paper presented at the 8th
Conference of the Asian Society of Agricultural Economists (ASAE), October 15-17,2014,BRAC Centre
for Development Management (BRAC-CDM), Savar,Dhaka, Bangladesh).
3. Deb, U, Bantilan C and Anupama GV. 2014.Drivers of Change, Dynamics of Rural Livelihoods and
Poverty in SAT India. Research bulletin no. 26. Patancheru 502324,Telangana,India: International Crops
Research Institutefor the Semi-arid Tropics. 50 pp.
Deb, Uttam,Cynthia Bantilan and GV Anupama. 2011.Drivers of Change: Dynamics of Rural
Livelihoods and Poverty in SAT India. Paper presented at the Researchers Review Meeting on “Prospects
of Indian Agricultureand Rural Poverty Reduction” held at theIndia International Centre,New Delhi on
27 April 2011; organized by Centennial India.
Chopde VK, GV Anupama, LS Likhitkar,Soumitra Pramanik,Uttam Deb and MCS Bantilan.2011.
Dynamics and Development Pathways in theSemi-Arid Tropics: Kinkheda Village Profile. Patancheru
502 324, Andhra Pradesh, India: International Crops Research Institutefor the Semi-Arid Tropics.
Deb, Uttam,Cynthia Bantilan and GV Anupama. 2011.Drivers of Change: Dynamics of Rural
Livelihoods and Poverty in SAT India: paper presented at pre-conference session duringthe Asian
Society for Agricultural Economics (ASAE) for holding a “Special Session on Dynamics of Rural
Economy in South Asia” at the7th ASAE International Conference held in Hanoi, Vietnam during 13-15
October 2011.
Louis V, Meine V, Serigne K, Tomich T, Ong C, Albrecht A, Mackensen J, Bantilan MCS, Anupama KV
and Palm C., 2007.Climate change: linking adaptation and mitigation through agroforestry,Book
chapter in ‘Mitigation and Adaptation Strategies for Global Change’ Springer,Netherlands.ISSN 1381-
2386,pp 18
Bantilan MCS, Mruthyunjaya, Gowda CLL and Anupama GV (eds.). 2005. Research Need assessment
and prioritization of agricultural research for development in south and west Asia: proceedings of the
workshop. 7-8 October 2004, ICRISAT, Patancheru, India. Bangkok 102 00, Thailand: Asia –Pacific
Association of Agricultural Research Institutions; Patancheru 502 324, Andhra Pradesh, India:
International Crops Research Institute for the Semi-Arid Tropics; and New Delhi 110 012, India: National
Center for Agricultural Economics and Policy Research. 148 pp.
Bantilan MCS, Anupama KV and Joshi PK. 2005. Assessing economic and environmental impacts of
NRM technologies: an empirical application using economic surplus approach.Pages 245- 268 in Natural
resource management in agriculture: methods for assessing economic and environmental impacts
(Shiferaw B, Freeman HA and Swinton SM, eds.). Wallingford, UK: CAB International.
Bantilan MCS, Anand Babu P, Anupama KV, Deepthi H and Padmaja R. 2006. Dynamics, challenges and
priorities of dryland agriculture in Asia and sub-Saharan Africa. Research Bulletin. Patancheru 502 324,
Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics.
Dar WD, Bantilan MCS, Anand Babu P, Anupama KV, Deepthi H and Padmaja R. Asian dryland
agriculture: ideas, paradigms and policies. Chapter in Proceedings of an International conference on
Agricultural and Rural Development in Asia: Ideas, Paradigms, and Policies Three Decades After, 10 -11
November 2005, Makati City, Philippines. College 4031, Los Banos, Laguna, Philippines: The Southeast
Asian Regional Center for Graduate Study and Research in Agriculture. 37 pp
Shiferaw,B, Anupama, GV, Nageswara RaoGD, and Wani SP, 2002. Socioeconomic characterization and
analysis of resource use patterns in community watersheds in semi-arid India,Socio-economics and
Policy WorkingPaper 12, ICRISAT, Patancheru
Bantilan MCS, and Anupama K V, 2002. Vulnerability and adaptation in dryland agriculturein India’s
SAT: experiences from ICRISAT’s village-level studies. WorkingPaper Series no. 13. Patancheru 502 324,
Andhra Pradesh, India: International Crops Research Institutefor the Semi-Arid Tropics
4. Bantilan,M C S, Anupama, K.V and Padmaja,R, 2002. Securing agriculturein south Asia and sub-
Saharan Africa, Poster
Bantilan,M C S, Anupama, K.V and Padmaja,R, 2002. Acceleratingsustainableagricultural growth and
poverty reduction in the semi-arid tropics:Role of ICRISAT, Paper presented at theAsian Regional
Consultation on World Bank’s Rural Development Strategy,Hanoi, Vietnam
List of References
Dr. Nedumaran Swamikannu
Senior Scientist
Agricultural Economics
RP-MIP
ICRISAT, Patancheru 502 324, Andhra Pradesh, India
Tel +91 40 30713022 Direct: 91 40 30713022
Fax +91 40 30713074/75
s.nedumaran@cgiar.org
Dr. Naveen P Singh
Principal Scientist
ICAR-National Institute of Agricultural Economics and Policy Research (NIAP)
Dev Prakash Shastri Marg, Pusa, Post Box no. 11305
New Delhi 110012
Tele: (O) +91-11-25847628,25848731, mobile: 91 9958650477, 7756875290
Fax: +91 11-25842684
Email: npsingh@ncap.res.in; naveenpsingh@gmail.com
Dr. V V HaraGopal
Director,
Center For Quantitative Methods,
Professor and Co-ordinator UGC SAP-1
Chairman (BOS) in Statistics
Department of Statistics,
Osmania University,
Hyderabad 500 007
Mobile +91 9849083995
haragopal_vajjha@yahoo.com