Highly accomplished Doctoral Researcher and Data Scientist specializing in Operational Research, Mathematics, and Computer Science. Leverages advanced analytical and quantitative modeling expertise to solve complex problems in operations management, decision science, and supply chain. Proven ability to conduct impactful research, evidenced by multiple publications in high-impact journals, and to effectively communicate intricate concepts in academic and professional settings. Eager to apply robust analytical frameworks and teaching acumen to drive innovation and foster learning in a challenging environment.
Mathematics Faculty / Private Tutor
Delhi, Delhi, India
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Summary
Provided personalized mathematics instruction to students, enhancing comprehension and academic performance through tailored educational strategies.
Highlights
Delivered individualized mathematics instruction to a diverse group of students, fostering deep comprehension of complex topics.
Developed customized lesson plans and study materials, leading to improved academic performance and conceptual clarity for students.
Provided targeted support in problem-solving and conceptual understanding, significantly enhancing student confidence and engagement in mathematics.
Data Science & Business Analytics Intern
Remote, NA, India
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Summary
Applied data science methodologies to solve business problems and derive actionable insights for strategic decision-making.
Highlights
Applied data science methodologies to analyze complex datasets, identifying key trends and actionable insights for business challenges.
Developed and implemented predictive models using Python libraries (e.g., NumPy, Pandas, Scikit-Learn), contributing to data-driven decision-making.
Visualized data findings with tools like Seaborn and Matplotlib, effectively communicating insights to stakeholders for informed strategy.
Economics & Statistics Intern
Dehradun, Uttarakhand, India
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Summary
Contributed to statistical data collection and analysis for government initiatives, supporting economic reporting and policy formulation.
Highlights
Contributed to data collection and statistical analysis for the 'Official Statistical System in the State' project, ensuring accuracy and integrity of government data.
Conducted a comparative study of development for Uttarakhand and Himachal Pradesh (2017-18), highlighting socio-economic indicators and regional disparities.
Assisted in data processing and reporting for 'Animal Artificial Insemination and Animal Milk Production Projects,' supporting agricultural policy insights.
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Doctor of Philosophy (Ph.D.)
Operational Research
Courses
Operations Management
Decision Science
Inventory Management
Logistics & Supply Chain Management
Advanced Mathematical Modeling
Data Analytics in Operations Research
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Master of Philosophy (M.Phil. Part I)
Operational Research
Courses
Operations Research Methodologies
Advanced Optimization Techniques
Statistical Modeling
Research Design and Analysis
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Master of Science (M.Sc.)
Operations Research
Courses
Linear Programming
Non-Linear Programming
Stochastic Processes
Queuing Theory
Inventory Control
Simulation Techniques
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Bachelor of Science (B.Sc.)
Mathematical Science
Courses
Calculus
Algebra
Differential Equations
Probability and Statistics
Numerical Methods
Discrete Mathematics
Awarded By
University Grants Commission (UGC)
Awarded Non-NET Fellowship by the University Grants Commission for pursuing doctoral research, acknowledging academic merit and supporting advanced studies in Operational Research.
Awarded By
University Grants Commission (UGC)
Received Non-NET Fellowship from the University Grants Commission for Master of Philosophy research, recognizing academic excellence and contribution to Operational Research.
Published by
2nd International Conference on Recent Trends in Mathematics (ICRTM 2025)
Summary
Presented a paper at the 2nd International Conference on Recent Trends in Mathematics, organized by Hansraj College, University of Delhi, showcasing research on dynamic pricing in fuzzy inventory models.
Published by
International Journal of System Assurance Engineering and Management
Summary
Published research article with an Impact Factor of 1.6, H Index of 45, SJR 2024 of 0.377 (Q2), indexed in Scopus & Emerging Sources Citation Index (ESCI).
Published by
SCIENCE CONCLAVE on “Science for Equity, Empowerment & Development” (SEED-2024)
Summary
Presented a paper at the SCIENCE CONCLAVE (SEED-2024), organized by Indira Gandhi University, focusing on inventory control with demand dependent on time-varying selling prices.
Summary
Working research article focusing on the effects of scarcity on demand in inventory models with data analytics, specifically for advance order booking scenarios with cancellation options.
Published by
The International Journal of Systems Science: Operations & Logistics (O&L)
Summary
Communicated research article with an Impact Factor of 3.3, H Index of 33, SJR 2024 of 0.755, SNIP 2024 of 1.197 (Q1 & Q2), indexed in Scopus & Science Citation Index Expanded (SCIE).
Summary
Working research article exploring the impact of scarcity on demand within inventory models utilizing data analytics for advance sales.
Published by
RAIRO-Operations Research
Summary
Communicated research article with an Impact Factor of 1.7, H Index of 39, SJR 2024 of 0.437 (Q3), indexed in Scopus & Science Citation Index Expanded (SCIE).
Published by
International Conference of Association of Inventory Academicians and Practitioners (AIAP) on Sustainable Supply Chain Management Under India's G20 Presidency (SSCM-G20)
Summary
Presented a paper at the AIAP International Conference on Sustainable Supply Chain Management, detailing a mathematical model for optimizing inventory of seasonal products.
Published by
National Workshop-cum-Seminar on Emerging Trends in Statistics for Agricultural Sustainability (ETSAS 2022)
Summary
Presented a paper at the ETSAS 2022 National Workshop-cum-Seminar, focusing on an inventory model for limited supply and known expiration dates utilizing data analytics.
Published by
International Conference on Modelling, Analysis, and Simulations of Multiscale Transport Phenomena (ETSAS 2022)
Summary
Presented a paper at the ETSAS 2022 International Conference, discussing an inventory model for limited supply and known expiration dates with data analytics.
Operational Research, Operations Management, Decision Science, Inventory Management, Logistics & Supply Chain Management (SCM), Data Analytics, Quantitative Modeling, Statistical Analysis, Mathematical Modeling, Supply Chain Optimization.
R Programming, Python, JAVA, MySQL, Oracle, Microsoft Word, Excel, PowerPoint, Windows, Ubuntu.
Machine Learning, NumPy, Pandas, Scikit-Learn, Seaborn, Matplotlib, Data Visualization, Predictive Modeling, Statistical Inference.
Academic Research, Peer Review, Curriculum Development, Technical Presentation, Scientific Writing, Conference Organization.
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Summary
Conducted a comprehensive study on consumer buying behavior regarding new data plans offered by Reliance Jio Infocom Limited, utilizing operational research methodologies.
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Summary
Analyzed the 'Official Statistical System in the State' and conducted a comparative study of development for Uttarakhand and Himachal Pradesh. Also supported 'Animal Artificial Insemination and Animal Milk Production Projects' as an intern.