Curriculum Vitae
Namit Shrivastava
Graduate researcher in survey methodology, trustworthy AI, and computational social science.
Graduate researcher with proven expertise in survey methodology, causal inference, geospatial epidemiology, and advanced statistical modeling. Published survey research in peer-reviewed venues and presented at AAPOR on transformer-based sentiment analysis methodologies. Research agenda focuses on developing trustworthy data integration frameworks that fuse survey methodology principles with generative AI, deep learning architectures, and privacy-preserving computational methods to advance automated data collection, quality assurance, and responsible measurement at scale.
Impact
Evidence-led work across public health, data infrastructure, and applied machine learning.
The CV now opens with the measurable outcomes that make the strongest case for the underlying work, instead of forcing everything into a single linear document flow.
Broadband completeness
Achieved full broadband data completeness across 129,572 U.S. census tracts through multi-source fusion.
Search discoverability gain
Improved open-data repository search discoverability through hierarchical taxonomy redesign.
Maintenance reduction
Reduced manual maintenance overhead with bulk metadata automation and schema-compliance workflows.
Blood donations mobilized
Helped organize a two-day blood donation drive with 60+ volunteers and 1,000+ donor records.
Profiles
Primary academic and professional links.
Technical Skills
Research and machine-learning capabilities now carry the strongest visual priority.
The layout now foregrounds survey methodology, statistical research design, and applied machine learning, while keeping delivery and platform skills in a supporting role.
Research core
Survey & Research Methods
Survey design, causal inference, sampling, data quality, and statistical frameworks that define the research identity.
Applied ML focus
AI/ML
Production-ready model development across transformers, deep learning, NLP, and modern machine-learning experimentation.
Modeling backbone
Core AI Systems
Core AI concepts that connect research questions to deployable intelligent systems and evaluation workflows.
Analysis languages
Programming
Main coding stack used for statistical research, automation, model prototyping, and application development.
Data infrastructure
Data & Databases
Query, storage, and scalable processing tools that support large analytical and integration pipelines.
Platform support
Cloud & Analytics
Cloud, BI, and reporting platforms used to operationalize experiments, dashboards, and analysis delivery.
Delivery layer
DevOps & Delivery
Deployment and app-delivery tooling that supports shipping research products, automations, and APIs.
Professional Experience
Research and engineering roles arranged as a readable timeline.
Social Data Science Center, University of Maryland
Graduate Research Assistant
College Park, MD, USA
- Engineered Python automation suite interacting with CKAN REST API to manage lifecycle of 18 datasets, ensuring 100% resource accessibility and data integrity.
- Architected scalable data taxonomy transforming flat catalogs into hierarchical thematic groups, improving search discoverability by 35%.
View additional impact
- Implemented bulk metadata update scripts reducing manual maintenance overhead by 90% and ensuring strict schema compliance.
Institute for Social Research, University of Michigan
Research Assistant
Ann Arbor, MI, USA
- Architected and deployed a production geospatial data integration pipeline processing 129,572 U.S. census tracts across 3 RUCA strata, achieving 100% broadband data completeness and reducing baseline missingness by 28.6%.
- Developed a stratified epidemiological modeling framework over 2,788 census tracts with 100% social determinant coverage, uncovering statistically significant rural inflections with p < 0.01.
View additional impact
- Designed a multi-stage data quality assurance protocol identifying 15% spatial clustering violations and achieving 85% of tracts with at least 95% temporal completeness.
Joint Program in Survey Methodology (JPSM)
Teaching and Graduate Assistant
College Park, MD, USA
- Assisted in teaching SURV735 and guided 23 students on data privacy and confidentiality principles.
- Redesigned Canvas LMS infrastructure for 10+ instructors supporting 125+ graduate students, increasing course satisfaction by 30% and reducing setup time by 40%.
Legistify Services Private Limited
Machine Learning Engineer
Gurugram, HR, India
- Engineered a scalable logo similarity detection system processing 2.4 million images, achieving 92% precision and reducing manual review time by 70%.
- Deployed Azure Cognitive Services workflows processing 50,000+ legal filings with 95% extraction accuracy and bilingual OCR support.
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- Developed trademark similarity algorithms comparing 50,000 new marks against 300,000 existing entries, achieving 92% accuracy and reducing computational overhead by 60%.
- Stress-tested a production API ecosystem with 150+ REST calls, identifying 12 bottlenecks and increasing retrieval efficiency by 30% for 500+ daily active users.
Accenture
Advanced Application Engineering Analyst
Bangalore, KA, India
- Achieved 89% accuracy in threat classification using enterprise threat intelligence feeds and reduced incident detection latency by 20%.
- Conducted penetration testing across 50+ web applications and identified 120+ vulnerabilities, including 15 critical findings.
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- Supported incident response during 3 security breaches and reduced MTTR by 80% through automated runbook implementation.
- Processed 10M+ daily log events with Python automation and produced executive security reporting for data-driven decisions.
Indian Red Cross Society
Web Developer
Bangalore, KA, India
- Designed and deployed a Drupal-based CMS for volunteer registry and donor database management, reducing manual data entry time by 50%.
- Localized the IRCS website for Hindi and Kannada, achieving a 95% bug-free experience across 10,000+ monthly visitors.
Publications & Projects
Research papers, conference work, and analytical builds with supporting links.
Springer publication
Achieving Sustainability in Supply Chain during Disruption Times: Role of Industry 4.0
BITS Goa, India
- Designed and executed a survey study with 200+ automotive supply chain experts using FAHP to rank 5 Industry 4.0 technologies and 6 green supply chain practices.
Expand project details
- Built an ISM and MICMAC framework identifying government regulation and top management commitment as top drivers with driving power 9 out of 9.
- Established quantitative linkage between Industry 4.0 adoption and green supply chain performance through a three-level hierarchical structure.
80th AAPOR Annual Conference
Analyzing Public Sentiments of EVs in the Era of Sustainable Transformation
St. Louis, MO
- Engineered a sentiment analysis pipeline over 1.1M+ social posts from 5 Reddit communities and 40 NYT articles using DistilBERT, achieving 91.6% classification accuracy.
Expand project details
- Compared 10 Groq LLM variants and found a +0.57 positive sentiment bias relative to observed Reddit data with F(2,549)=28.43.
- Identified a 35% increase in negative EV sentiment after 2022 and showed Llama-3.2-90b-vision-preview best approximated human sentiment patterns.
Graduate Research Project
Player Market Value Analysis in Elite European Football
University of Maryland, College Park, MD, USA
- Developed a cross-classified multilevel model on 7,023 player-season observations from 2,159 elite players, explaining 78% of player-level variance.
Expand project details
- Quantified a 42% market valuation premium for squad-status playing time and isolated COVID-era effects across the €38bn transfer market.
Course Project - Sports Analytics
English Premier League Spending Analysis and 20-Year Forecasting
University of Maryland, College Park, MD, USA
- Automated integration of 30 EPL seasons into a 600+ record analysis dataset.
Expand project details
- Built Random Forest, ARIMA, Prophet, LSTM, and SVR models, achieving 72.3% out-of-sample classification accuracy and generating 20-year forecasts.
Undergraduate Thesis Project
Air Pollution Abatement and Modeling
BITS Pilani, Rajasthan, India
- Processed 26 ambient air samples across 766 hours, estimating PM10 mean at 184.2 µg/m³ with 64.5% exceedance above standards.
Expand project details
- Built ML forecasting and Gaussian plume models with R² up to 0.87 and evaluated 4 emission reduction scenarios with up to 24% projected improvement.
Undergraduate Research Project
Applications of ML/IoT in Concrete Technology and Structural Health Monitoring
BITS Pilani, Rajasthan, India
- Developed a multilabel CNN on 42,520 road-surface images across 5 distress categories, achieving 86.67% accuracy and 88.19% F1-score.
Expand project details
- Expanded training data to 245,735 labeled distress instances to support scalable road monitoring workflows.
Undergraduate Research Project
LEXNet: Lightweight Explainable CNNs for Internet Traffic Classification
BITS Pilani, Rajasthan, India
- Architected LEXNet for 1.5M flows and 200 application classes, reducing model size by 97% and inference time by 93%.
Expand project details
- Improved accuracy by 4% while adding faithful prototype-based explanations versus multiple baseline architectures.
Course Project
Madhav Gadgil vs. Kasturirangan Reports: Western Ghats Conservation Policy Analysis
BITS Pilani, Rajasthan, India
- Compared two conservation frameworks across 6 states, 44 districts, and 142 taluks, quantifying a 50.7% reduction in protected coverage.
Expand project details
- Analyzed the shift from decentralized Gram Sabha governance toward centralized working-group execution.
Course Project - Machine Learning
Active Learning for Forest Cover Classification
BITS Pilani, Rajasthan, India
- Implemented active learning on 581,012 observations with 54 features, achieving 85% accuracy and outperforming random sampling by about 15 percentage points.
Expand project details
- Demonstrated 60-70% lower labeling requirements while maintaining 82-85% model accuracy.
Course Project - Artificial Intelligence
Automated Plagiarism Detector for Text and Images
BITS Pilani, Rajasthan, India
- Built a dual-search plagiarism detection system achieving 68.1% accuracy with LinearSVC for essays, code, and transcripts.
Expand project details
- Added image plagiarism detection using 8x8 Average Hash and automated Excel reporting, reducing review time by an estimated 95%.
Course Project - Applied Statistical Methods
Statistical Analysis and Forecasting of Solar Energy
BITS Pilani, Rajasthan, India
- Engineered solar forecasting on a 14-year dataset with 8 meteorological parameters and strong correlation discovery above 0.80 for key GHI factors.
Expand project details
- Achieved 5.93% MAPE with SARIMA on 781 weekly observations.
Independent Data Science Project
Voice Gender Recognition using Acoustic Features
BITS Pilani, Rajasthan, India
- Benchmarked 5 machine learning algorithms on 3,168 voice samples and achieved 98.3% classification accuracy with Random Forest.
Expand project details
- Tuned a balanced Random Forest model with only 11 misclassifications on the held-out test set.
Education
Formal training, awards, and relevant coursework.
University of Maryland, College Park
Master of Science, Survey & Data Science (Data Science Track)
College Park, MD, USA
View relevant coursework
Birla Institute of Technology and Science (BITS) Pilani
Bachelor of Engineering (Honours), Civil Engineering (Minor: Data Science)
Pilani, RJ, India
View relevant coursework
Certifications & Achievements
Credentials that reinforce the research and engineering profile.
Certifications
- Microsoft Certified: Azure AI Fundamentals
- API-based Programming (Postman)
- AI For Everyone (Coursera)
- Deep Learning & Machine Learning (Smartknower, Internshala)
Achievements
Leadership & Service
Work beyond the classroom and lab.
Terrapin Leadership Institute, University of Maryland
Member
College Park, MD
- Achieved 100% participation in workshops on leadership, ethics, inclusion, and resilience.
- Contributed reflective insights that improved dialogue quality and peer engagement.
National Service Scheme (NSS), BITS Pilani
Executive Committee and Blood Donation Camp Core Team Member
Pilani, RJ, India
- Planned 10+ activities to improve English skills and confidence in villages around campus.
- Organized a blood donation camp with 60+ volunteers, 1,000+ donor records, and 844 successful donations in two days.
Peer Mentorship Program (PMP), BITS Pilani
Mentor
Pilani, RJ, India
- Assisted juniors with materials and guidance for a successful transition into college life.
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