CV

Download Academic CV (last updated May’25) or Professional CV (last updated May’25)

Education

• B.Tech in Petroleum Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India, 2019 - 2023
  • GPA: 7.83/10, (MCM Scholarship Recipient)
  • Related courses: Engineering Economics & Finance, Object Oriented Programming, Data mining, Financial Econometrics, Operations Research, Development Economics, Fundamentals of Machine Learning, Data Analytics, International Macroeconomics and Monetary Policy, Reservoir Modelling and Simulation

Work experience - Research

Organisation	Title	Experience
Indian School of Business	Research Associate Department: Information Systems Advisor: Dr. Vasundhara Sharma	Dec'24 - Ongoing Research Focus: Passionate about applying machine learning (ML) and data science to macroeconomic measures and public policy, aiming to evaluate and enhance their impact on society Conducting a research project on the impact of social movements in the digital world and another project simulating a virtual environment to curb the spread of misinformation in social networks, while supporting professors in academic research and data-driven analyses. Currently working with web scraping tools like Selenium, applying natural language processing (NLP) techniques, and leveraging large language models (LLMs) for text data analysis and generating actionable insights. Methodologies: Econometric Analysis, Structural Modeling & Survery
Directorate General of Mine Safety (DGMS), Ministry of Labour & Employment, Government of India	Project Intern Team: Mine Digitalization and Artificial Intelligence Lab Advisor: Prof. Siddharth Agarwal	Aug'22 - Feb'23 Conducted an independent research project analysing the root causes of fatalities in Indian coal and non-coal mines using historical DGMS fatality reports. Developed a customised text mining pipeline using Python's re and nltk libraries to extract structured data from unstructured PDF reports spanning multiple years. Designed and implemented a relational MySQL database to systematically organise fatality records by mine type, location, cause, and year, facilitating longitudinal analysis. Utilized pandas, matplotlib, and plotly to generate analytical visualisations revealing temporal patterns and critical risk factors contributing to mine accidents. The project provided actionable insights into systemic safety failures and informed recommendations for targeted regulatory interventions.
Indian Institute of Management (IIM) Udaipur	Research Intern Advisor: Prof. Ashish Galande	Aug'22 - Feb'23 Created a structured dataset of Fortune 500 companies’ tweets through web scraping using Twint and Scrapy in Python to analyse CSR activities and study principles of conscious capitalism. Utilised text analysis and NLP techniques to compute lexical diversity and sentiment scores using NLTK and VADER libraries. Preprocessed and vectorised text, and leveraged sentiment scores to develop a sentiment analysis model using RNN in TensorFlow.

Work experience - Industry

Organisation	Title	Experience
HCLTech Client: Chevron	Data Scientist Team: Oil & Gas Consulting Manager: Jaspreet Singh Product Owner: Leonid Shapiro	Jul'23 - Nov'24 Working with the AIOps team to develop a supervised machine learning model which analyses Azure Virtual Desktop log data to predict issues to automate and streamline L1 support. Developed a Generative AI application for analysing O&G daily drilling reports (DDRs) to convert them into OSDU-compliant JSON data for direct ingestion in the OSDU environment. Used Azure ML Studio with OpenAI GPT-3.5 Turbo API and LangChain in Python for developing the application and Gradio for developing the interface. Created and managed data pipelines and dashboards for asset management across 800 O&G wells using Azure Databricks, Power BI and internal asset management tools. Developed an application for registering new and reimaged remote desktop data, creating an SQL database for asset management with Azure Function and Power Apps in Python. Contributed to OSDU production and logging practices with DataVedik.
HCLTech	Machine Learning Intern Team: Oil & Gas Consulting Manager: Deepak Bhardwaj	May'22 - Aug'22 Developed adaptive ML-based alarm system using Random Forest in Python for early detection of kicks and blowouts in O&G wells, using Equinor’s Volve dataset. Addressed imbalance in the dataset with SMOTE. Trained supervised ML models using Sklearn & TensorFlow for optimal prediction results. Conducted extensive data preprocessing & EDA using seaborn & pandas. Implemented a method to label kicks in the dataset using DDRs & lithological parameters. A patent was filed (in progress) for the data labelling mechanism used in the model. Received pre-placement offer upon completion

Skills

• Programming languages: C, C++, Python, SQL, R
• Framework: Keras, TensorFlow, Flask, Lang Chain, Gradio, PyTorch, Selenium
• Tools: MS Excel, PowerBI, R Studio, STATA, Azure Cloud (OpenAI Studio, ML Studio, Databricks, Function and Power Apps)
• Libraries: : matplotlib, seaborn, pandas, NumPy, stats models, NLTK, OpenCV, Plotly, spaCy, Scikit - learn

Research and Publications

Please refer Projects and Publications page.

Projects

Please refer Projects page.

Academic Conferences and Volunteering

• Attended and volunteered at CODE: Conference on the Digital Economy, Indian School of Business, Varanasi. [01-01-2025]
• Attended ISB-NBER Conference on Information and Competition in the Digital Economy. [14-12-2024]

Honors, prizes, awards, and fellowships:

• Achieved top 10th percentile, Univ.AI Data Science hackathon, displaying analytical prowess with an AIR of 96.
• Headed the SPE IIT (ISM) Student Chapter Editorial, securing the 2022 Student Chapter Excellence Award, awarded to only the top 20% of chapters globally
• Earned a Bronze medal in the Otto Group Product Classification Kaggle Competition, showcasing expertise in ML and data classification.
• Secured 2nd position for writing and directing mono-act & 5th position in stage play as director at InterIIT Cultural Meet ’22, outperforming 23 IITs
• MCM Scholarship (Scholarship for academic excellence), IIT (ISM) Dhanbad

Teaching:

• Designed a course and taught Machine Learning, Data Science, and Python programming to First Year Joiners at Society of Petroleum Engineering, IIT (SIM) Dhanbad (2021)

Social Responsibility

• NGO Volunteer - Kartavya, IIT (ISM) Dhanbad: Volunteered to teach mathematics to class 9th and 10th children in Dhanbad to help them ace their board exams. (2019-2023)

Selected Certifications:

• Azure Fundamentals (AZ 900), Microsoft 2023
• Azure AI Fundamentals (AI 900), Microsoft 2024
• Azure Power BI Data Analyst (PL 300), Microsoft 2024
• Deep Learning Specialisation, Deeplearning.ai 2021