Placement MA:2025-27

LinkedIn: https://www.linkedin.com/in/adarsha-kumar-sethi-032217389/

Education: KSUB College, Berhampur University | BA (Hons.) Economics | GPA: 7.5 | 2025

Internships: Intern (Remote) – Muskurahat Foundation (Apr–May 2026) | • Crowdfunding & donor outreach for underprivileged children’s education

Publications/Projects: 1. Wage Productivity Elasticities in Indian Manufacturing: Evidence from ASI & NSSO (CDS, Nov–Dec 2026) | 2. Evolution of the US Dollar as a Hegemonic Currency & De-dollarization/BRICS (KSUB, Jan–Mar 2025) | 3. Addressing Poverty: Root Causes, Measurement & Policy Initiatives in India (KSUB, Nov 2024–Jan 2025)

Skills: Technical: Stata, Economic Analysis, Cross-section econometric analysis, OLS regression | Research: Research Methodology, Report Writing | Other: Event Management, Communication

Education: University College TVM, Kerala University | BA Economics | 79.26% | 2025

Internships: Data Collector (Survey Field Investigator) – Reserve Bank of India (RBI) in collaboration with Development Research Services (DRS), Kerala (Jun 2025) | Conducted field surveys for Rural Consumer Confidence Survey & Inflation Expectations Survey of Households (IESH) across Pathanamthitta, Kollam & Thiruvananthapuram

Publications/Projects: Beyond Flexibility: Unveiling the Economic and Labour Realities of Gig Work in Thiruvananthapuram (University College, Kerala University, Jan–Apr 2025) | In-depth study on app-based delivery gig workers; 50 respondents via structured interviews |  Tools: Python, R for data cleaning, statistical analysis & visualization | Supervisor: Asst. Prof. Dr. Reshmi R Nair, Dept. of Economics

Skills: Field Survey & Data Collection, Questionnaire Design & Interview Techniques, Data Cleaning & Management, Statistical Analysis, Data Visualization (Python, R), STATA, Report Writing & Documentation, Ethical Research Practices, Communication & Interpersonal Skills, Teamwork & Coordination; Cross-section econometric analysis, OLS Regression, STATA

Education: Delhi Technological University | BA (Hons.) Economics | GPA: 8.43 | 2024

Publications/Projects: 1. Determinants of Japan’s Economic Growth (DTU, 2023) | 2. Effects of Tax Evasion on Economy (DTU, 2024) | 3. Role of Migration in Informal Sector Expansion in India (CDS, 2025) – co-authored paper

Skills: Technical: Data Analysis, Stata, SPSS, Report Writing, Cross-section econometric analysis, OLS Regression | Soft: Communication, Leadership, Teamwork, Oratory, Analytical Thinking

Education: Maharajas College Ernakulam, MG University | BA Economics | CGPA: 7.11 | 2025

Publications/Projects: Landholdings: Land & Land Use Pattern of Households – Case of Kadamakkudy Panchayat (Jan–Apr 2025); primary data from 60 households

Skills: Field Survey, Data Collection & Analysis, Cross-section econometric analysis, OLS Regression, STATA

Education: Union Christian College, Aluva (MG University) | BA Economics | CGPA: 9.15 | 2025

Publications/Projects: Economic Determinants & Decision-Making Biases of UG Students in Choosing Coaching Centres (2024-25) – primary data, MS Excel analysis

Skills: | Basic Data Analysis & Interpretation, Cross-section econometric analysis, OLS Regression, STATA | Communication & Presentation

Education: Government National College, CDLU | BA | 68.11% (First Division) | 2024

Internships: Accountant – Mukund Travels (Sept 2023–Jul 2025) | GST filings, TDS, ledger posting, P&L and Balance Sheet preparation, cash flow monitoring

Publications/Projects: Migration Expectation & Urban Labour Market Outcomes – empirical study testing Harris-Todaro model; wage deflation, econometric regression, wage gap decomposition

Skills: Accounting: Journal entries, bank reconciliation, GST, TDS | Econometrics: Regression analysis, Cross-section econometric analysis;wage gap decomposition; STATA

Certifications & Awards: Add-On Course: Financial Econometrics (Pursuing)

Education: Rayagada Autonomous College, Berhampur University | BSc (Hons.) Mathematics | CGPA: 6.11 | 2023

Publications/Projects: Structural Transformation and Sectoral Reallocation of Labour in India (CDS, Nov–Dec 2026) | Analysed labour reallocation across agriculture, manufacturing & services and its impact on productivity

Skills: Technical: Stata,Cross-section econometric analysis, OLS Regression,Economic Analysis | Tools: Microsoft Office (Word, Excel, PowerPoint) | Other: Event Management, Communication

Education: Central University of Andhra Pradesh, Anantapur | BSc (Hons.) Economics | CGPA: 7.29 | 2022–2025

Internships: 1. Intern, DMEO – NITI Aayog, New Delhi (May–Jul 2024): Innovation & Economic Growth analysis; LFPR comparative analysis using PLFS datasets | 2. Research Intern – University of Hyderabad, School of Economics (Jun–Aug 2024): Report on ICDS Scheme development in India/Andhra Pradesh

Publications/Projects: Undergraduate Dissertation: Impact of R&D Expenditure on GDP per Capita in BRICS Nations (Dec 2024–May 2025) – fixed effects panel regression

Skills: Software: Stata, Python (Visualization), Excel (Advanced Pivot Tables, VLOOKUP, dashboarding), LaTeX | Econometrics: OLS, Time Series, T-tests, Chi-square, ANOVA, CAGR | Data: PLFS, ASI datasets; data cleaning, longitudinal data merging

Education: Gokhale Institute of Politics and Economics, Pune | BSc. Economics | GPA: 8.76/10 | 2022–25

Internships: 1. Urban Policy Intern – Janaagraha, Bangalore (Jul–Aug 2025) | 2. Research Intern – KILA, Thrissur- Study on street vendors policies in the state of Kerala (Jun–Jul 2024) | 3. Research Trainee – Centre for Civil Society, Delhi (Apr–Sep 2023) | 4. Research Assistant – Gokhale Institute, Pune – Analysis on gender and sanitationusing NSSO 76th round (Jan–Jun 2023)

Publications/Projects: 1. ‘Capital Conversions: Delhiites on Urban Governance’ – Beyond Legalese, CCS Edition 23 (2023) | 2. ‘International Migration in Kerala: Determinants and Outcomes’ (Undergraduate Dissertation) | 3. ‘Flushed Away: Social Status and Women’s Access to Sanitation’ (Gokhale Institute of Politics and Economics)

Skills: Languages: Stata, R, Python | Research: De jure Analysis, Primary Field Survey, Questionnaire Design, Quantitative/Econometric Analysis- Cross-section econometric analysis and OLS Regression, Time Series. Data : Kerala Migration Survey (KMS)

Education: Gitam University, Hyderabad | BA Economics | GPA: 8.6 | 2025

Internships: Data Analysis Intern – BITS Pilani, Hyderabad (Jun–Jul 2024) | • Data analysis on NIRF India School Rankings; data cleaning, extraction & organisation

Skills: Data cleaning & organisation; STATA, Cross-section econometric analysis and OLS Regression

Education: Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore | BA Economics | GPA: 7.81 | 2020

Internships: Content Associate & Mentor – Aram IAS Academy, Chennai (Jul 2024–Jan 2025) | Policy document synthesis, mentored 50+ students on analytical writing, essay evaluation

Skills: Technical: Stata (Econometric Modelling- Cross-sectioneconometricanalys, OLS regression); Excel(Expert) | Documentation: Technical Report Writing, Policy Briefing, SOP Development, Analytical Research | Soft: Strategic Leadership, Public Speaking & Oratory

Education: BA | IGNTU, Amarkantak | 7.87 CGPA – A Grade & First Division

Internships: Field Coordinator, Kalingamitra Trust, Balangir, Odisha – grass development and commnity outreach programmes under the Education, Youth& Social Transformation Program

Publications/Projects: The Green Revolution and Technological Change: Implications for Rural Structural Transformation in India (1950–2022)

Skills: Economic Analysis, Stata | Research Methodology, Report Writing, Data Interpretation, Cross-section Econometric Analysis ;OLS regression | Field Coordination and Event Management

Education: BA Economics | Government College for Women, University of Kerala | 9.308 GPA |

Publications/Projects: Impact of Vizhinjam International Seaport on local community — economic, social & environmental aspects; employment, fishing community, displacement & rehabilitation

Skills: Software: Excel, R,Stata | Methods: Cross-section econometric analysis and OLS regression

Certifications & Awards: Certificate: Data Analysis using Excel & R (Dept. of Statistics, GCW) |

Education: BA (Hons.) Economics | Sri Venkateswara College, Delhi University | 8.324/10 (First Division)

Internships: 1. Risk Analyst, Ernst & Young LLP (Jun 2023–Jul 2024) — Internal audit at Vardhman Textiles, Jawandsons & Adidas; recovered ₹28.41L in sales order loopholes; identified ₹59.47L stock discrepancy | 2. Administrative Intern, District Administration Fatehgarh Sahib, Punjab (Sep–Nov 2021) — menstrual education database management; impact evaluation

Publications/Projects: 1. Analysis of Centrally Sponsored Schemes — NREGA data, Gretl & R (SVC DU) | 2. Internationalization of Indian State-Owned Enterprises — SOE financial/ESG dataset of 50+ firms | 3. Harris-Todaro Model — primary survey of interstate migrants in Kerala; econometric model for informal sector migration rationality (CDS, 2025)

Skills: Software: R, Gretl, SAP, MS Dynamics, Excel, STATA | Methods: Cross-section econometric analysis and OLS regression

Certifications & Awards: Certificates: Data Science — Internshala (Python, Modelling, Stats); Financial Econometrics (CDS + IIM Sirmaur faculty, pursuing) | Leadership: Gen. Secretary Economics Association SVC; President English Debating Society SVC; Placement Coordinator SVC

Education: BA Economics & Mathematics | Motilal Nehru College, University of Delhi | 6.788 CGPA

Publications/Projects: 1. Wage–Productivity Elasticities in Indian Manufacturing (ASI & NSSO panel data) — regression analysis of rural-urban wage differentials (CDS, 2025) | 2. Sustainable Development using Green Hydrogen — policy frameworks & economic viability review (MNC Delhi, 2022–23)

Skills: Software: R (Statistical Software R — DU coursework), Stata | Methods: Econometrics,OLS regression, panel data, Cross-section econometric analysis

Education: BA (Hons.) Economics | Cluster University Srinagar | 8.38 CGPA (83.8%)

Publications/Projects: 1. Wage Productivity Elasticities in Indian Manufacturing (ASI data) — regression-based econometric analysis | 2. Labour Contractualisation & Productivity in India’s Organised Manufacturing — detailed class presentation (Surya & Beena) | 3. Scarcity and Management of Natural Resources | 4. Tiered State Structure and Governance

Skills: Software: Stata, MS Excel, LaTeX, MS Word, PowerPoint | Methods: Econometrics, Statistics, Data Analysis, Cross-section econometric analysis, OLS Regression

Certifications & Awards: Certificates: Financial Econometrics; Causal Inference Workshop; IIT JAM 2025 Qualified

Education: BA Economics | Central University of Tamil Nadu | 9.01 CGPA

Internships: 1. Research Project Assistant, EMEA College of Arts & Science (Jun–Jul 2025) — economic consequences of structural failures in national highways, Kerala; field research & policy recommendations | 2. Intern, University of Calicut (Sep 2024) — CPI vs HDI comparative analysis | 3. Internship Trainee, YBI Foundation (Jun–Jul 2025) — Python programming (15 days)

Publications/Projects: ‘Assessing the Economic Consequences of Structural Failures in Newly Built National Highways in Kerala, India’ — Asian Journal of Economics, Business and Accounting (2025) [Co-authored]

Skills: Software: Python, Power BI, MS Excel, Stata | Methods: Economic Research, Policy Analysis, Quantitative & Qualitative Methods, Academic Writing, Cross-section econometric analysis, OLS Regression

Education: BA Economics (Hons.) | Maharaja’s College, Ernakulam | 9.16/10

Internships: Internship, Kerala Institute of Local Administration, Thrissur (Jan 2025) — Role of Haritha Karma Sena in Solid Waste Management (Kolazhy Grama Panchayat)

Publications/Projects: Study of Haritha Karma Sena — institutional waste management efficiency & socio-economic profiling using primary field data

Skills: Software: Stata; Methods: Cross-section econometric analysis, OLS Regression

Certifications & Awards: Awards: Swami Chinmayananda Gold Medal (CBSE XII topper across Chinmaya schools in Kerala); School Topper CBSE XII 2022 (98.8%). First Rank Holder in UG

Education: B.Sc (Hons.) Economics | University of Calcutta | 8.5 CGPA

Internships: 1. Research Intern, Indian Forum for Public Diplomacy (2025–present) — global environmental tariffs & carbon border adjustment mechanisms |2.  Market Research Intern, Earth5R NGO (May–Aug 2025) — ESG/CSR research & structured reports | 3. Research Intern, NITI Aayog (Oct–Nov 2024) — policy briefs & fiscal data analysis for senior officials | 4. Content Writer, Moneytree Realty (Aug 2024–Aug 2025) — financial & real estate content

Publications/Projects: Urban Unemployment Pool in Platform Economy — PLFS data; Lewis & Harris-Todaro model comparison (CDS)

Skills: Software: MS Excel, Python (basic), R, STATA, WordPress; Methods: Cross-section econometric analysis and OLS regression

Certifications & Awards: Achievement: JAM 2025 Rank 100 Certificate: NIIT Data Analytics (Excel, visualisation, stats, Python)

Education: BSc Economics | Dr. B.R. Ambedkar School of Economics University, Bengaluru | 9.13 GPA

Internships: 1. Summer Intern, NITI Aayog (Jun–Jul 2025) — Air pollution & EV impact; Ridge & OLS regression on AQI; found air pollution cost India ~$36.8B in 2019 | 2.  Research Assistant, BASE-U (Jun 2023–Jul 2024) — Labour market analysis using Census/NSSO/PLFS; paper at 65th ISLE Conference | 3. Research Analyst, Future of Work Lab, UC Berkeley (Nov 2023–Apr 2024) — Qualitative research on remote vs office productivity

Publications/Projects: 1. Urban Unemployment Pool in Platform Economy (PLFS & CMIE data) | 2. Features of Urban Self-Employment in India — co-authored; ISLE Conference 2025 | 3. Bridging the Gap: Sustainable Architecture in India — GIPE conference | • Indore’s Municipal Bond Renaissance | 4. Argentine Debt Crisis (2001)

Skills: Software: Stata, R, Python, MS Excel, Rapid Miner | Methods: OLS Regression, Cross-section econometric analysis, Ridge Regression, Panel Data, Time Series | Data: PLFS, NSSO, CIME Databases; Research: Literature Review, Primary Survey, Ethnographic Research

Certifications & Awards: Certificates: GATE 2025 Economics AIR 453; McKinsey Forward; Financial Econometrics (CDS); Financial Accounting (Coursera); IP (NPTEL) | Award: 1st Place, CASE-A-PALOOZA case competition

Education: Bachelor of Business Management | Magadh University | 68.5% | (Also: MPA, IGNOU — 69.73%)

Internships: 1. Marketing Intern, ARYAN Hospital, Gorakhpur — promotional activities & customer engagement (1 month) | 2. Intern, Yamaha Two-Wheelers — international sales & advertising exposure (1.5 months)

Skills: Certificates: Anti-Money Laundering/KYC/Compliance; ADCA; TCS iON Career Edge; Google Digital Marketing Fundamentals; Software: Stata; Methods: Cross-section econometric analysis and OLS regression

Certifications & Awards: Anti-Money Laundering/KYC/Compliance; ADCA; TCS iON Career Edge; Google Digital Marketing Fundamentals

Education: BA Economics | The American College, Madurai | 72.3%

Skills: Software:Stata | Methods: Cross-section econometric analysis and OLS regression

Education: B.Com | Dyal Singh College, Delhi University | 69.55% (First Division) | (Also: CA Foundation — ICAI)

Publications/Projects: 1. Migration Expectation and Urban Labour Market Outcomes — empirical test of Harris-Todaro model using primary survey; wage deflation, regression & wage gap decomposition

Skills: Pursuing: Financial Econometrics (Add-on course); Software: Stata | Methods: Cross-section econometric analysis and OLS regression

Education: BA (Hons.) Economics | Central University of Karnataka, Kalaburagi | 6.90 CGPA | (Also: 1-yr MA Development Studies coursework, IIT Mandi)

Internships: Field Intern, Goonj — Cloth for Work circular economy initiative; 6 actionable recommendations submitted to management (Jun 2025)

Publications/Projects: 1. UG Dissertation: Cost-Benefit Analysis of Chilli Crop, Khammam (Stata — Wilcoxon & Mann-Whitney tests) | 2. Digitizing Himalayan Literature & Culture, IIT Mandi — ethnographic fieldwork across HP | 3. Drought Risk Index of Assam — composite index across 27 districts using environmental & socioeconomic indicators

Skills: Software: R, Stata, MS Excel, Power BI | Methods: Quantitative Analysis, Survey Design, CBA, Ethnographic Research, Cross-section econometric analysis, OLS Regression

Education: B.Sc (Hons.) Economics | Ananda Chandra College, NBU | 73.54%

Internships: 1. Operations & Sales Coordinator, Saha Ice Factory (Apr 2020–Aug 2022) — wholesale fish supply chain logistics & cold-chain management during COVID-19

Skills: Software: Python, Stata, Power BI, Tableau, Excel | Database & Cloud: SQL, Snowflake, AWS, Google BigQuery, Azure SQL | ML/AI: Feature Engineering, EDA, Prompt Engineering | Methods: OLS Regression, Cross-section econometric analysis

Certifications & Awards: Data Analyst Bootcamp (Udemy); Financial Econometrics (CDS)

Education: BA Economics | Central University of Tamil Nadu | 8.88 CGPA

Internships: 1. Research Intern, NIT Tiruchirappalli (Jun–Jul 2024) — PCA & Panel ARDL on financial development–trade nexus in G20 | 2. Personalized Internet Ads Assessor, TELUS Digital (Apr 2024–Sep 2025)

Publications/Projects: 1. ‘Financial development & global trade: G20’ — J. of International Trade & Economic Development, 35(2), 2024 | 2. ‘Impact of financial development on international trade in G20: PCA & Panel ARDL’ — Int’l J. of Trade and Global Markets, 21(2), 2025

Skills: Software: Stata, R, Python | Methods: Panel ARDL, PCA, Time Series Analysis, OLS Regression, Cross-section econometric analysis | Data: World Bank, IMF macroeconomic panel datasets

Education: B.Sc Triple Major — Economics, Statistics, CS | Andhra Loyola College, Krishna University | 7.88 GPA

Internships: 1. Annavarapu Agencies — FMCG supply chain & distribution operations, sales tracking (Dec 2024–Apr 2025) | 2. BIST Technologies Pvt. Ltd. (IoT) — 180-hr online internship in IoT data handling

Publications/Projects: 1. Structural Transformation and Sectoral Reallocation of Labour in India (CDS, Nov–Dec 2026) | 2. Labour reallocation across agriculture, manufacturing and services using PLFS, NSSO, and WDI datasets | 3. Productivity gaps, informality, migration patterns and employment dynamics in the Indian economy.

Skills: Software: Stata, R, Python (basic), MS Excel, MS PowerPoint | Methods : Cross sectional econometric analysis, Time Series

Certifications & Awards: Employability Skills Course (Grade A)

Education: BA History, Economics & Public Administration | Adikavi Nannaya University, AP | 88%

Internships: 1. Gram Sachivalayam, Collectorate Office, AP (Sep–Nov 2023) — policy decentralisation & citizen grievance data | 2. District & Sessions Court (Mar–May 2024) — land rights & case management | 3. JYESTA Corporate (Nov 2025–Jan 2026) — corporate finance, invoice processing & reconciliation

Skills: Software: Stata, MS Excel, PowerPoint | Methods: Panel Data (FE/RE), OLS, Time Series, Chi-square, T-tests, Cross-section econometric analysis

Certifications & Awards: Typewriting Lower Grade