QR Code Scan for
Virtual Resume

Professional Summary

Economist, Researcher, and UGC NET Qualified Assistant Professor. My work intersects economic theory with data-driven insights to analyze markets and equip the next generation with actionable knowledge. Holding an M.A. in Business Economics (9.71/10 SGPI) and qualified for the UGC-NET in Economics (Dec 2024 & Dec 2025). Highly committed to a pedagogical approach that blends classical economic theory with modern quantitative tools, behavioural insights, and policy applications. Active contributions include publishing in national journals, mentoring undergraduate research, and developing an independent learning platform to teach Python-based data analysis to students.

Teaching & Academic Experience

Assistant Professor - Economics and Econometrics

Jun 2025 – Present
Pillai College of Arts, Commerce & Science (Autonomous)
  • Teach courses spanning Microeconomics, Econometrics, and Data Analytics using R and Python.
  • Guide undergraduate students in empirical research, survey design, and applied econometric modelling.
  • Designed structured lesson plans combining theory, case studies, and quantitative practice.
  • Serve on curriculum committees for Applied Econometrics and Research Methodology.

Creator & Instructor - Educational Initiative

2025 – Present
Independent Python Data Analysis Learning Platform
  • Developed a free, student-friendly website offering Python tutorials tailored for economics learners (View Platform).
  • Created step-by-step modules on Pandas, NumPy, Matplotlib, and applied data cleaning for economic datasets.
  • Mentored batches of students through hands-on coding exercises and real-world micro/macro datasets.
  • Integrate this platform into classroom teaching to strengthen computational skills among economics students.

Finance Content Development Intern

Jan 2024 – Mar 2024
LetsTute, Mumbai
  • Created educational content on personal finance, financial markets, and economic indicators for digital learners.
  • Analysed investment behaviour and translated technical concepts into accessible, student-friendly modules.

Education

Master of Arts (M.A.) in Business Economics

Jul 2023 – May 2025
SIES College of Arts, Science & Commerce (Autonomous)
  • Overall SGPI: 9.71/10 (Sem I: 9.64 | Sem II: 10.00 | Sem III: 9.36 | Sem IV: 9.82)
  • Relevant Coursework: Microeconomics, Macroeconomics, Econometrics, Indian Economic Policy, International Economics, Behavioural Economics.

Bachelor of Arts (B.A.) in Economics

Jul 2019 – Apr 2022
ICLES' Motilal Jhunjhunwala College, Vashi
  • Final CGPA: 9.39

Research & Publications

Leadership & Community Work

General Secretary - Commerce & Economics Association (CEA)

Jul 2024 – Mar 2025
  • Led academic outreach initiatives promoting financial literacy and economic awareness.
  • Organised workshops, intercollegiate events, and policy discussions to encourage active student engagement.

Peer Guide - Youth for Change Programme

Aug 2019 – Jul 2021
Akshara Centre, Mumbai
  • Facilitated student workshops on communication, leadership, and gender sensitisation.
  • Conducted civic learning programmes focusing on democratic participation and social responsibility.
Additional Institutional Roles:
  • Student Council Member: SIES College (2024 – 2025)
  • Head of Digital Media: NSS (2020 – 2021)
  • Volunteer: NSS and ISR Programmes (2019 – 2024)

Technical Skills & Certifications

Technical & Analysis Tools
  • Excel (Advanced Functions, Macros)
  • R
  • Python
  • Regression Analysis
  • Time-Series
  • Forecasting
  • Hypothesis Testing
Data Visualisation & Teaching
  • ggplot2
  • Matplotlib
  • Excel Dashboards
  • GitHub Classroom
  • Jupyter Notebook
  • LMS Platforms
Research & Languages
  • Google Scholar
  • LaTeX
  • English (Fluent)
  • Hindi (Fluent)
  • Marathi (Conversational)
  • Garhwali (Native)
Core Certifications
  • UGC-NET Economics Qualified (Dec 2024 & Dec 2025)
  • Python Data Analysis (freeCodeCamp)
  • Rural Marketing | India Focused - Diploma (Udemy)
  • Data Visualisation with R (Udemy)
  • Statistics for Data Analysis (Udemy)
  • Digital Marketing (Google)