Summary
Overview
Work History
Education
Skills
Websites
Certification
Awards
Publications
Personal Information
Timeline
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Sambuddha Goswami

Sambuddha Goswami

New Delhi

Summary

Dynamic professional with 16+ years of experience and expertise in policy-relevant analytical research, strategic planning, delivering evidence-based analysis, & driving results for clients. Well-versed in Data Science & Analytics, Big Data, Geospatial Data, and skilled in the application of various Statistical Methods, Econometrics Modelling, Machine Learning, Deep Learning, and AI algorithms to develop Descriptive, Diagnostic, Predictive, & Prescriptive analysis for incorporation into strategic decision-making. Proficient in a wide range of programming languages and tools such as R, Python, Julia, SAS (Proc SQL, Macros), STATA, SPSS, QGIS, Advanced Excel, SQL, MySQL, Hive, Tableau, Power BI, Quantum4D, & Gapminder. Authored several international and national journal papers, books and book chapters, major project reports, & presentations with the ability to translate technical expertise into actionable recommendations for programs, policies, and strategies.

Overview

16
16
years of professional experience
1
1
Certification

Work History

Consultant Grade II (Director equivalent)

NITI Aayog
03.2024 - Current
  • Leading and managing a team of Agriculture and Allied Sector Tech Division
  • Core strategy team member to develop Prime Minister Dhan-Dhaanya Krishi Yojana (PMDDKY) Scheme (approved by Union Cabinet) strategy and objective, including managing end-to-end supervision of the PM-DDKY Analytical Dashboard Development and high-level designing to monitor the progress of selected districts.
  • Formulate a comprehensive and actionable Strategic Roadmap and Pathways for Atmanirbharta in Pulses: Developing a comprehensive strategic roadmap to achieve self-sufficiency in the pulses sector. This process involved conducting in-depth analyses of current and projected demand-supply dynamics utilizing advanced statistical, econometric, forecasting, predictive models and advanced machine learning and deep learning algorithms to identify key constraints that hinder growth, including the analysis of the existing gaps compared to global leaders, considering temporal and spatial diversity at both the state and district levels, as well as international trade dynamics.
  • Formulating district-level cluster strategies to optimize resource allocation and enhance productivity.
  • Formulate a comprehensive and actionable Strategic Roadmap and Pathways for Atmanirbharta in Edible Oil: Developing a comprehensive strategic roadmap to achieve self-sufficiency in the edible oil sector. This process involved conducting in-depth analyses of current and projected demand-supply dynamics utilizing advanced statistical, econometric, forecasting, predictive models and advanced machine learning and deep learning algorithms to identify key constraints that hinder growth, including the analysis of the existing gaps compared to global leaders, considering temporal and spatial diversity at state levels, as well as international trade dynamics.
  • Recognizing the report's significance, the Union Cabinet approved the 'National Mission on Edible Oils – Oilseeds (NMEO-Oilseeds)' with a ₹10,103 crore outlay for implementation from 2024-25 to 2030-31.
  • Member Secretary of the Advisory Group for Aakanksha Initiative, District Agri-Rural Transformative Plan (DARTP), formulating district-specific strategic frameworks across seven selected [a special activity under the Aspirational Districts Programme (ADP) and Aspirational Blocks Programme (ABP)], ensuring alignment of specific, measurable, achievable, relevant, and time-bound objectives.
  • Conducting comprehensive needs assessments to identify district-specific strengths, weaknesses, opportunities, and challenges (SWOC).
  • Involved in regular follow-up meetings to foster stakeholder engagement.
  • Formulating a comprehensive and actionable Strategic Roadmap and Pathways for Harnessing the Potential of the Fisheries Sector in India focusing on (i) inland, (ii) deep-sea, and (iii) marine fisheries.

Senior Research Officer (Dy. Director equivalent)

NITI Aayog
12.2021 - 03.2024
  • Research Lead and Managing a team of Researchers for Global Indices for Reforms and Growth (GIRG) Project, an initiative of GoI to leverage global indices as tools for driving systemic public policy reforms and growth in the country, reviewed regularly at the highest levels of the Government (Cabinet Secretary and Prime Minister Office).
  • Identifying, addressing, and analyzing methodological/data issues in the 30 global indices (~3000 indicators) including evidence-based research inputs focusing on how to improve India’s performance at the global and across State in four sectors (development, economy, governance, and industry).
  • Engaging with several International Publishing and Data Agencies (i.e., UNDP, World Bank, IMF, OECD, ILO, FAO, WHO, WEF, EIU, etc.) along with national Data Agencies (RGI and MoSPI);
  • Monitoring and supporting concerned 18 Nodal & 46 Line Ministries/Departments (M/Ds) on a regular basis to review the progress.
  • Coordinating and preparing presentations/notes including index/indicator level analysis for GIRG review meetings held under the chairmanship of the Cabinet Secretary.
  • Successfully managing end-to-end supervision of the GIRG Dashboard including high-level designing and deploying for all concerned stakeholders;
  • Monitoring concerned M/Ds for Action Points emerged during several bilateral review meetings and relevant Stakeholder consultations to review the progress of M/Ds.
  • Preparing prototypes for M/Ds, reports, notes, minutes, talking points, etc., on-demand for several requirements.
  • Analyzed and prepared a report on the issues in the database shared by Sustainable Development Solutions Network (SDSN) for the SDR 2023 related to GIRG indices.
  • Monitored quarterly progress on CS / CSS schemes of Output and Outcome Monitoring Framework (OOMF) indicators, developed logframe across M/Ds [65+ M/Ds 400+ schemes and ~6,000 indicators, covering ~40% of the Central Government's expenditure budget] and supervised OOMF Dashboard to validate, update, and analyze the quarterly progress data.
  • Monitored Data Governance Quality Index (DGQI) for India’s open government data ecosystem under the guidance of Prime Minister’s Office across M/Ds (i.e. part of 65+ M/Ds 630+ schemes, across key pillars: Data Generation, Data Quality, Use of Technology, Data Analysis, Data Security).
  • Reviewing and Providing comments on the Expenditure/Standing Finance Committee (EFC/SFC), Public Investment Board, Cabinet Notes, and eSamiksha.
  • State Nodal of Delhi and Uttarakhand to coordinate with State Monitoring & Evaluation (M&E) and Planning officials.
  • Architected Multiple-Layers Big Data Analytics Solution Stack to set up Technology and Innovation for Monitoring and Evaluation Labs (TIME Labs) for DMEO to foster data and technology-led research & innovation using triangulation of data (i.e., conventional, unconventional, survey, and administrative data) across all M/Ds.
  • Developed AI-driven model using satellite data (i.e., night-time light luminosity) and socioeconomic indicators applying Machine Learning and Deep Learning algorithms to drive development and growth in India at the State/sub-state, and district/Taluka/Village levels to help GOI’s macroeconomic policy planning.
  • Conducted the evaluation of the National e-Vidhan Application (NeVA), BHUVAN (Indian Geo Platform of ISRO) portal & Health & Wellness Centres (HWCs).
  • Involved in the procurement of external consultants, including ToRs, RFPs, bid evaluation (responsiveness, eligibility, & scoring), consultant finalisation, and agreement execution as part of the technical evaluation sub-committee.
  • Involved in organizing meetings, knowledge-sharing sessions, and providing training for capacity building to internal and external stakeholders.
  • Involved in building and developing relationships with relevant international and National stakeholders/partners.

Senior Manager (Data Science and Analytics)

Genpact
08.2020 - 11.2021
  • Led and Mentored a team of Data Scientists managing an Offshore Analytics function of ~US$12mn annually (resulting in ~10% business growth), defined product strategy ensuring effective decision-making.
  • Developed and Proposed data-driven Analytical solutions to Senior leadership including C-suite levels in CPG, Retail, E-commerce, and FP&A domains. Leveraged data insights to drive business growth and profitability strategically.
  • Successfully developed and implemented real-time Analytical Platforms for causal inference-based Lift and Feasibility Products. Utilized Machine Learning, Deep Learning, Statistical & Econometric Modelling (GLM, Regularization, Clustering, RF, GBM, LSTM, RFM, BG/NBD, Gamma) for A/B testing & Churn, Market-mix, Multi-touch Attribution, Price-promotion, and Customer Lifetime Value (CLV) modeling to assess consumer behavior, probabilistic/verified audience, and optimize marketing strategies.
  • Utilized Machine Learning & Deep Learning NLP techniques for Topic Modeling (SpaCy, Gensim) and Sentiment Analysis (Beautiful Soup, Selenium, NLTK, TensorFlow/Keras, GPT, BERT, Transformers) to uncover hidden insights from large volumes of customer feedback data for actionable recommendations.
  • Designed & implemented AI-driven QA/QC solutions for Fast Parallel Processing (PySpark) of Large-Scale DataSets to optimize data processing ensuring data accuracy.
  • Had responsibility for the organization’s data science strategy, evaluation of new and emerging technologies, preparing PoCs, recruiting, training, and guiding Data Scientists for Analytical Modelling R &D and Product Execution.
  • Developed and nurtured strong relationships with clients to ensure client satisfaction and long-term partnerships.

Data Scientist Consultant

American Express (through Data & Analytics Services Pvt. Ltd.)
05.2019 - 07.2020
  • Led a team of Data Scientists, managing Analytics Automation and ensuring effective decision-making.
  • Developed and Proposed data-driven Analytical solutions to Senior leadership in Banking, Finance, Hospitality, & Aviation domains to maximize revenues strategically.
  • Developed and deployed automated Predictive & Clustering Models to predict Personal Loan Prepayments, defaulters, assessed Delinquency, and behavioral customer segmentation profiling using a combination of Statistical, Econometrics, and Machine Learning Techniques. Leveraged FICO scores to assess credit risk and optimize loan processes.
  • Developed and implemented an automated univariate Time Series Forecasting model on Discount Revenue from Credit Card vertical across global markets. Utilized a combination of a wide range of classical Time Series modeling, Machine Learning, and Deep Learning Neural Networks algorithms to enhance accuracy. Leveraged Tableau for visualization.
  • Developed and implemented automated Multivariate Forecasting Models for Credit Card Reward Points considering factors such as local costs and market dynamics lived through Tableau. Utilized a combination of classical Time Series modeling (VAR, State-Space Model) and Deep Learning (MLP, LSTM) algorithms to generate accurate predictions.
  • Developed and implemented AI-driven Multiple Time Series Forecasting Model and Predictive CLV Model for an International E-commerce Company’s online product applying Machine Learning and Deep Learning Algorithms utilizing Keras/Tensorflow to drive revenue optimization and enhance customer retention strategies.
  • Executed Named Entity Recognition (NER) Natural language processing (NLP) techniques for Personally Identifiable Information (PII) utilizing NLTK, SpaCy, RegEX, and Texthero.

Research Associate and Data Analyst

Dr. Uma Lele Research Team
05.2009 - 04.2019
  • Worked with Dr. Uma Lele (currently President at IAAE) as a Researcher, including Data Analysis, Policy-relevant analytical Economic Research, and Co-authoring several International & National Journal Papers, Books, Book chapters, Reports, and Presentations, for various projects and seminars.
  • Involved in macroeconomic data-led policy research utilizing various Statistical and Econometric modelling to conduct descriptive, diagnostic, predictive, and forecasting analysis of large sets of global, regional, country, Household level socioeconomic and financial micro and macro-economic data, and reviews of diverse bodies of literature in the areas of Sustainable Development Goals, Poverty, Hunger, Food & Nutrition, Agriculture & Rural Development, Productivity Growth, Structural Transformation (Agriculture, Industry, Service), 4th Industrial Revolution, Economic Outlook, Health, Gender, Labour, Employment, Trade (import & export), Energy, Environment, Climate, Water, Forest, Public Finance, Public Policy & Scheme, Projects & Programs Investment & Impact Evaluation, Financial Institutions, Governance, Development Assistance (Multilateral & Bilateral) & Partnerships.
  • Co-authored book 'Food for All: International Organizations and the Transformation of Agriculture' (Oxford University Press, UK) (with Uma Lele, Manmohan Agarwal, and Brian Baldwin) emanating from the Bill and Melinda Gates Foundation spawned work on 'Changing Global Development Aid Architecture'.
  • Co-authored the background policy research paper commissioned by the United Nations Forum for Forests (UNFF) to explore the cross-sectional linkages of forests with other sectors in the course of economic development utilizing statistical and econometrics tools.
  • Co-authored the background policy research paper of the World Bank Study to gain a deeper understanding of India’s agricultural productivity growth by executing a Panel Data Model of 139 countries over the period of 35 years to predict and compare India’s Structural Transformation from an International Perspective.
  • As a part of the Global Author Team of the 'Global Report for GCARD 2010' commissioned by GFAR responsible for the entire data analysis with a focus to achieve more sustainable impacts on food security and poverty.
  • Actively engaged with relevant stakeholders to facilitate collaboration, consultation, and knowledge exchange, including sharing research findings and insights.

Short-Term Consultant

The World Bank Group
Delhi
12.2015 - 06.2016
  • Project title: 'National Agricultural Higher Education Project (NAHEP) in India'.
  • Conducted data-driven policy analysis and provided policy formulation advice for Indian Council of Agricultural Research (ICAR) financial support to State Agricultural Universities as input to the Bank team preparation of the Project Appraisal Document.
  • Worked with ICAR, identified and compiled relevant state-level financial data which reflects fund flows to State Agricultural Universities;
  • Systematized data from (a) above and completed a descriptive assessment; and completed a descriptive assessment on (b), identifying gaps in both existing funds flows and funds use as constraints currently faced by State Agricultural Universities;
  • Suggested policy recommendations as inputs toward possible interventions.

Consultant at Agricultural Development Economics Division (ESA) of FAO Statistics Division

The Food and Agriculture Organization of the United Nations
11.2014 - 04.2016
  • Project title: 'Measuring Food and Nutrition Security' of the Food Security Information Network (FSIN) of FAO, WFP, and IFPRI funded by European Union and USAID.
  • Assisted in project designing and in the preparation of the Technical Working Group (TWG) Concept Note;
  • Analyzed and assessed the specificity and sensitivity of the existing ~150 Food and Nutrition Security indicators to identify key areas for measurement and improvement, trends, patterns, and causal relationships between different factors.
  • Actively engaged with stakeholders, and conducted a thorough analysis of the results from stakeholders' surveys to understand perspectives and gather valuable insights.
  • Co-authored TWG Technical Assessment Report 'Measuring Food and Nutrition Security: An Independent Technical Assessment and User’s Guide for Existing Indicators'.

Education

M.A. - Economics

Delhi School of Economics
Delhi, India
01.2009

B.A. - Economics with Mathematics and Statistics

Jadavpur University
West Bengal, India
01.2007

Higher Secondary - Mathematics, Physics, Chemistry, and Statistics

R. K. Mission Narendrapur
West Bengal, India
01.2003

Skills

  • R
  • Python
  • SAS
  • Julia
  • STATA
  • SPSS
  • QGIS
  • ArcGIS
  • Tableau
  • Power BI
  • Quantum4D (Q4D)
  • QlikView
  • Gapminder
  • SQL
  • MySQL
  • NoSQL
  • Hadoop
  • HIVE
  • PySpark
  • AWS
  • Microsoft Azure
  • Google Cloud
  • NIC cloud
  • Hypothesis Testing
  • Z/t- Chi-square
  • A/B Testing
  • ANOVA
  • Correlation
  • Dimensionality Reduction
  • Predictive Modelling
  • Linear Programming
  • Dynamic Optimization
  • Time series and Forecasting
  • Panel Data Modelling
  • Supervised Learning
  • Ensemble Modeling
  • SVM
  • K-Nearest Neighbours
  • Naive Bayes
  • Unsupervised Learning
  • Gradient Descent Techniques
  • Natural Language Processing (NLP)
  • H2O
  • Artificial Neural Networks (ANNs)
  • Multilayer Perceptrons (MLPs)
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Long Short-Term Memory (LSTM)
  • Gated Recurrent Units (GRU)
  • Generative Adversarial Networks (GANs)
  • Keras
  • TensorFlow
  • PyTorch
  • Survey Designing
  • Interviews
  • Focus Group Discussions
  • Content Analysis
  • Case Study Research
  • MS Office
  • Latex

Websites

Certification

  • Certified Data Scientist, AnalytixLabs, 02/01/19
  • Lean Six Sigma Green Belt, Genpact, 01/01/21
  • Generative AI Fundamentals, Databricks, 09/01/23
  • Artificial Intelligence for India 2.0, GUVI, 08/01/23
  • ChatGPT Certification, GUVI, 08/01/23
  • Python Programming, GUVI, 08/01/23
  • AWS Summit India 2023 Participation, AWS
  • Analyzing and Visualizing Data with Microsoft Power BI, Great Learning
  • Microsoft Azure Certification, Simplilearn
  • Tableau Certified, Simplilearn
  • Harvard ManageMentor Course: Business Plan Development
  • Harvard ManageMentor Course: Decision Making

Awards

  • National Talent Scholarship, National Council of Educational Research and Training (N.C.E.R.T), Government of India, 2001
  • Merit Certificate, National Scholarship Scheme (Government of West Bengal Education Department), 2000

Publications

The Organic Agri Export Conundrum: Growth and Opportunities in India, International Journal of Environmental & Agriculture Research (IJOEAR), 11, 2, 2025, N. Patel, SC Meena, Lessons from COVID-19, Medical Research Archives, 12, 2, 2024, U. Lele, Achieving Sustainable Healthy Food Systems: The Need for Actual Food Consumption Data for Measuring Food Insecurity and Its Consequences, Economic & Political Weekly, 57, 07, 2021, U. Lele, M. M. Mekonnen, Agricultural Policy Reforms: Roles of Markets and States in China and India, Global Food Security, 26, 2020, 100371, U. Lele, The fourth industrial revolution, agricultural and rural innovation, and implications for public policy and investments: a case of India, Agricultural Economics, 48, S1, 2017, U. Lele, Good Governance for Food, Water and Energy Security, Aquatic Procedia, 1, 2013, U. Lele, M. Klousia-Marquis, Linkages between Food Insecurity and Climate Change: An Indian Experience, Arth Anvesan, 7, 2, 2012, A. Das, Food for All: International Organizations and the Transformation of Agriculture, Oxford University Press, UK, 2021, U. Lele, M. Agarwal, B. Baldwin, Patterns of Structural Transformation and Agricultural Productivity Growth, Gokhale Institute of Politics and Economics, Pune, India, 2018, U. Lele, M. Agarwal, Governance of the 'Big Five' International Organizations concerned with Food Security and Nutrition, Global Challenges for Future Food and Agricultural Policies, David Blandford and Katharine Hassapoyannes, 2019, U. Lele, Structural Transformation and the Transition from Concessional Assistance to Commercial Flows, Agriculture and Rural Development in a Globalizing World: Challenges and Opportunities, Prabhu Pingali and Gershon Feder, 2017, U. Lele, G. Nico, Growth of Land, Labour and Total Factor Productivity in Agriculture in Brazil, India, Indonesia and China, Sustainability of Growth: The Role of Economic, Technological and Environmental Factors, John Whalley, Manmohan Agarwal and Jiahua Pan, 2015, U. Lele, M. Agarwal, Indian Manufacturing Sector: Growth and Productivity Trend in Pre and Post Reform Periods, India Economy: Issues and Challenges, Om Prakash Shukla, 2011, Strategies and Pathways for Accelerating Growth in Pulses towards the Goal of Atmanirbharta, NITI Aayog, 2025, N. Patel et al., Pathways and Strategy for Accelerating Growth in Edible Oil Towards Goal of Atmanirbharta, NITI Aayog, 2024, N. Patel et al., Measuring Food and Nutrition Security: An Independent Technical Assessment and User’s Guide for Existing Indicators, Food Security Information Network, 2016, U. Lele et al.

Personal Information

  • Date of birth: 18/04/85
  • Nationality: Indian

Timeline

Consultant Grade II (Director equivalent)

NITI Aayog
03.2024 - Current

Senior Research Officer (Dy. Director equivalent)

NITI Aayog
12.2021 - 03.2024

Senior Manager (Data Science and Analytics)

Genpact
08.2020 - 11.2021

Data Scientist Consultant

American Express (through Data & Analytics Services Pvt. Ltd.)
05.2019 - 07.2020

Short-Term Consultant

The World Bank Group
12.2015 - 06.2016

Consultant at Agricultural Development Economics Division (ESA) of FAO Statistics Division

The Food and Agriculture Organization of the United Nations
11.2014 - 04.2016

Research Associate and Data Analyst

Dr. Uma Lele Research Team
05.2009 - 04.2019

M.A. - Economics

Delhi School of Economics

B.A. - Economics with Mathematics and Statistics

Jadavpur University

Higher Secondary - Mathematics, Physics, Chemistry, and Statistics

R. K. Mission Narendrapur

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