Prithu Verma
Data Engineering & Research
Computer Science graduate student with experience in Python, SQL, machine learning, and data engineering, building end-to-end ETL pipelines, relational databases, analytical dashboards, and ML systems. Experienced in working with large-scale datasets, statistical analysis, feature engineering, and unsupervised learning, with a focus on turning complex data into measurable insights.
📍 New Delhi, India
- Submitted my paper on anomaly detection in database query logs to IEEE INDICON 2026
- Co-authored paper on LLM causal reasoning under review at ACL ARR 2026
- New project: analysing 12 million companies with PySpark on Databricks

Education

SRM Institute of Technology
Expected July 2027
B.Tech Computer Science and Engineering
Delhi NCR, India
Affiliations
- IEEE Computer Society
- SRM-ACM
- TedxSRM
Coursework
- AlgorithmsA+
- Artificial IntelligenceA+
- Natural Language ProcessingA+
- Linear AlgebraA+
- Data StructuresA
- Operating SystemsA
- Database SystemsA
- Computer NetworksA
- Discrete MathematicsA
- Probability & StatisticsA
Research
Papers and preprints. Currently submitted, under review or published
A Hybrid Unsupervised Learning Framework for Multi-Type Anomaly Detection in Database Query Logs
Verma, P., Verma, A.
Under Review IEEE IndiCon 2026
Multi-Dimensional Evaluatation of Large Language Models for Causal Reasoning Tasks
Verma, A., Iqbal, F., Verma, P., Das, S, Ray Choudhury, S.
Under review at ACL-ARR 2026
Projects
A few things I've built and written up.

Company Data Analysis on Databricks
Nearly 12 million company records from People Data Labs, processed with PySpark and Spark SQL on Databricks and presented in a Databricks dashboard: 11.7M companies across 149 industries, broken down by country and size.
- PySpark
- Spark SQL
- Databricks
- Pandas

Business Analysis Dashboards
Three end-to-end Power BI dashboards across banking, toy retail and superstore data: 30+ interactive visuals, reusable DAX measures, and drill-throughs that take you from headline KPIs to the detail behind them.
- Power BI
- DAX
- Power Query
Writing
Posts on things I've worked through and wanted to explain properly.

BBD and Tax Loopholes
26 September 2026 · 6 min read
How the ultra-wealthy use Buy, Borrow, Die to grow their fortunes while paying almost no tax: borrowing against appreciating assets instead of selling, then passing them on with a stepped-up basis.
- Finance
- Billionaires
- Economics
- Wealth

Stock Market Crash
19 September 2026 · 4 min read
What actually causes a stock market crash, from recessions and inflation to bubbles and panic selling, and the indicators that tend to show up before one.
- Recession
- Finance
- Stock Market Crash
- Stock Market
- Economics

Game Theory: Backward Induction and the Endgame Problem
19 September 2026 · 2 min read
Reasoning backwards from the last move, and why cooperation collapses all at once the moment players know exactly when a repeated game ends.
- Strategy
- Game Theory
- Human Behavior

Bonds and Debentures
18 September 2026 · 5 min read
How bonds and debentures work: face value, coupons, maturity, premiums and discounts, and how the two differ in security, risk and liquidity.
- Finance
- Money
- Investing

Game Theory: Tit-for-tat
8 September 2026 · 2 min read
Why repeating the Prisoner's Dilemma changes everything, and how a simple strategy, cooperating first and then copying your opponent, makes cooperation last.
- Strategic Thinking
- Cooperation
- Game Theory
- Human Behavior

Freeports and Wealth Tricks
8 September 2026 · 4 min read
Tax-free warehouses in Geneva, Luxembourg and Singapore where art, gold and wine sit legally "in transit", and how billionaires use them for tax avoidance and secrecy.
- Tax Avoidance
- Billionaires
- Strategy
- Wealth
- Money
Data Warehousing, from OLTP to the Modern Cloud Stack
1 September 2026 · 16 min read
A study guide built in three days with Claude, NotebookLM, ChatGPT and Perplexity: OLTP vs OLAP, star and snowflake schemas, fact and dimension types, grain, surrogate keys, SCDs, data marts, and why ELT won.
- Data Warehousing
- ETL
- OLAP
- SQL
- Data Engineering
PySpark for Data Engineers: The Docs, Distilled
30 August 2026 · 11 min read
I read the entire PySpark documentation so you don't have to. The parts that matter for data engineering: DataFrames, types, cleaning, transformations, joins, file formats and ANSI mode.
- PySpark
- Apache Spark
- Databricks
- Data Engineering

PE and PB Ratio
24 August 2026 · 3 min read
Using price-to-earnings and price-to-book ratios to judge whether a stock is overvalued or undervalued, and what a low or high ratio can really mean.
- Investing
- Finance
- Stocks
- Corporate Finance

Game Theory: Nash Equilibrium
19 August 2026 · 2 min read
The central idea of game theory: a state where no player can do better by changing only their own strategy, and why every finite game has one.
- Game Theory
- Strategy
- Human Behavior
- Leadership

Game Theory: Prisoner's Dilemma
14 August 2026 · 3 min read
The most famous scenario in game theory, and the gap it exposes between what is best for an individual and what is best for the group.
- Game Theory
- Cooperation
- Human Behavior
- Strategy

NPV and IRR
13 August 2026 · 3 min read
Net Present Value and Internal Rate of Return, built on the time value of money: discounting future cash flows to decide whether an investment is worth it.
- Money
- Corporate Finance
- Budgeting
- Finance
Skills
Tools I reach for most often, shaded by how well I know them.
- Proficient
- Working knowledge
- Basic familiarity
Languages
- Python
- SQL
- Bash
- C/C++
- Java
- HTML/CSS
- JavaScript
Data
- PostgreSQL
- ETL Pipeline
- PySpark
- Power BI
- DAX
- Power Query
- MySQL
- MongoDB
- Databricks
ML / AI
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- FAISS
- PyTorch
- TensorFlow
- DBSCAN
Tools
- Docker
- Terraform
- Ansible
- Git
- GitHub Actions
- Weights & Biases
- MLflow
Certifications
Courses and credentials I've completed.

Amazon Simple Storage Service (Amazon S3)
1 May 2026
KodeKloud
Credential ID: d668a328-1468-4f7c-a535-4cefcadd89bb


Complete Data Analyst Bootcamp from Beginner to Advanced
1 August 2025
Udemy
Credential ID: UC-19bfb0bb-88ed-4ecc-a44f-66d040c49863

Deloitte Australia - Data Analytics Job Simulation
1 February 2025
Forage
Credential ID: JcDrXDZPL3dfNo5Fb

Introduction to Programming Using Python
1 September 2024
HackerRank

Python Masterclass
1 August 2024
Udemy
Credential ID: UC-70736e0c-798a-48e8-945e-540b30919cb9

Desktop and Mobile UX/UI Design
1 August 2024
Udemy
Credential ID: UC-20c5f704-946c-4db4-92d0-5ab05387d81a

Basics of Financial Planning
1 July 2023
INDmoney
Credential ID: 7661777_69

Fundamental Analysis: Understanding Financial Statements
1 June 2023
Udemy
Credential ID: UC-dbfaf132-8fc6-4a0a-a3f2-77d50f3d024e
Contact
Happy to talk about research, collaborations, or interesting problems.

