CV

Curriculum Vitae

General Information

Full Name Shivansh Gupta
Location Hyderabad, India

Education

  • 2019 - 2023
    Bachelor of Technology, Petroleum Engineering
    Indian Institute of Technology (ISM), Dhanbad, India
    • GPA - 7.83/10, (MCM Scholarship Recipient)
    • Relevant courses - Engineering Economics & Finance, Data mining, Financial Econometrics, Operations Research, Development Economics, Machine Learning, International Macroeconomics & Monetary Policy, Reservoir Modelling and Simulation

Research Experience

  • Dec'24 - Ongoing
    Research Associate
    Indian School of Business, Hyderabad
    • Department: Information Systems
    • Advisor: Dr. Vasundhara Sharma
    • Developing an original early-stage research idea; responsible for data collection, preliminary empirical tests, model validation, and feasibility assessment for future publication.
    • Designed and deployed randomized Qualtrics surveys with dynamic question flows, embedded experiments, manipulations, and attention-check logic, supporting causal inference in behavioral studies.
    • Executed end-to-end data workflows: web scraping , large-scale text processing , data cleaning, statistical analysis, and visualization.
    • Performed econometric analyses using panel regressions, event-study frameworks, supervised ML pipelines, and agent-based simulations to study digital platform behavior.
    • Conducted systematic literature reviews in platform governance, misinformation, IS/marketing strategy, and digital public policy to synthesize theoretical frameworks and identify research gaps.
    • Methodological toolkit: econometrics, causal inference, survey design, simulation, and computational text analysis.
  • Aug'22 - Feb'23
    Project Intern
    Directorate General of Mine Safety (DGMS), Ministry of Labour & Employment
    • Team: Mine Digitalization and AI Lab
    • Advisor: Prof. Siddharth Agarwal
    • Developed a custom text-mining pipeline to extract structured data from multi-year PDF fatality reports.
    • Built and released a publicly accessible MySQL database of mining-fatality records for longitudinal research use.
    • Conducted exploratory and statistical analyses to identify systemic patterns and root causes of mining accidents.
  • May'21 - Aug'21
    Research Intern
    Indian Institute of Management (IIM), Udaipur
    • Advisor: Prof. Ashish Galande
    • Constructed a large-scale dataset of Fortune 500 firms’ Twitter activity via Python-based web scraping.
    • Applied NLP techniques to measure sentiment, lexical diversity, and linguistic patterns across firms and sectors.
    • Implemented RNN-based sentiment classification in TensorFlow to benchmark performance against rule-based methods.

Work Experience

  • Jul'23 - Nov'24
    Data Scientist
    HCLTech
    • Team: Oil & Gas Consulting
    • Client: Chevron
    • Manager: Jaspreet Singh
    • Product Owner: Leonid Shapiro
    • Developed supervised ML models on large-scale Azure Virtual Desktop log data to support automated issue detection.
    • Built an LLM-based information extraction pipeline for converting drilling reports into structured OSDU formats.
    • Maintained ETL workflows and analytical dashboards for 800+ operational wells.
  • May'22 - Aug'22
    Machine Learning Intern
    HCLTech
    • Team: Oil & Gas Consulting
    • Client: ExxonMobil
    • Manager: Deepak Bhardwaj
    • Built a Machine learning-based alarm system for detecting kicks and blowouts using the Equinor Volve dataset.
    • Designed a Daily Drilling Reports based labeling framework with feature engineering, preprocessing, and class-imbalance correction, which later formed the basis of a filed patent.

Technical Skills

  • Programming Languages: C, C++, Python, SQL, R
  • Frameworks: Keras, TensorFlow, Flask, LangChain, Gradio, PyTorch, Selenium
  • Dev Tools: Git, Bash, Powershell, Docker, Postman, Linux, Azure, Anaconda, PowerBI, R Studio, STATA
  • Libraries: matplotlib, seaborn, pandas, NumPy, statsmodels, NLTK, OpenCV, Plotly, spaCy, scikit-learn

Achievements

  • Scholastic
    • Top 10% (AIR 96) in the Univ.AI Data Science Hackathon.
    • Bronze Medal, Otto Group Product Classification Kaggle Competition.
    • Summer Undergraduate Research Fellowship, Department of Computer Science, IIT (ISM) Dhanbad.
    • Merit-cum-Means (MCM) Scholarship recipient for all eight semesters.
  • Extracurricular
    • Served as Editorial Head, SPE IIT (ISM) Student Chapter; contributed to winning the 2022 Student Chapter Excellence Award (top 20% globally).
    • Placed 2nd (mono-act director) and 5th (stage play director) at InterIIT Cultural Meet 2022 among 23 participating IITs.
    • Represented District Cricket Team Banda in the Under-17 Ranji Trophy (2016).

Conferences & Volunteering