Statistics & Machine Learning @ CMU

Vikram Oberai

Building data-driven solutions at the intersection of statistics, ML, and quantitative finance.

Freshman at Carnegie Mellon University passionate about applying machine learning and statistical methods to solve complex problems in finance and beyond.

Get In Touch View My Work
About Me

Who I Am

Hi, my name is Vikram! I’m a freshman at Carnegie Mellon University majoring in Statistics and Machine Learning, with a strong interest in artificial intelligence, robotics, and quantitative trading and research. I love working at the intersection of finance, computer science, and data to solve complex problems. As a triplet, collaboration has been part of my life from day one, shaping me into someone who’s curious, communicative, and comfortable tackling tough challenges within a team. In my free time, I enjoy going on walks with friends, keeping up with the UFC and NBA, and exploring cool projects to build and learn from.
Professional Experience

Where I've Worked

Balyasny Asset Management

Intern, Commodities Technology
Jun 2025 – Aug 2025
  • Reduced balance framework package import time by 57% using lazy-object-proxy, identifying performance bottlenecks via Tuna profiling
  • Measured per-node memory usage using psutil and enhanced an existing Gantt chart by integrating a Plotly scatter plot, enabling developers to pinpoint memory-intensive nodes in real time
  • Delivered a final presentation to BAM leadership and peers, summarizing project outcomes, technical learnings, and the impact of performance and observability improvements on the balance framework package
Featured Work

Projects

Projects demonstrating my skills in data science, machine learning, and quantitative analysis.

Earnings Call Sentiment Analysis

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Built an NLP pipeline analyzing 64 Apple earnings call transcripts (2006–2025) using the Loughran–McDonald dictionary to predict post-earnings returns.

Python NLP Statistics Pandas Statsmodels

Salary Prediction ML Pipeline

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Implemented linear regression from scratch with gradient descent, building an end-to-end ML pipeline with preprocessing, regularization, and hyperparameter tuning.

Python scikit-learn Matplotlib NumPy

Crossy Road

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Crossy Road

Claude Prompting
Crossy Road

AI Research Explorer

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Built an AI Research Explorer that allows users to easily explore and stay updated on research in fields they are interested in.

React + Vite FastAPI Supabase arXiv API Vercel (frontend) Render (backend)
Academic Background

Education

Carnegie Mellon University

B.S. Statistics & Machine Learning
GPA: 3.35/4.0
Expected 2029
Relevant Coursework
Fundamentals of Programming Integral & Differential Calculus Reasoning with Data Thinking with Evidence Accelerated Microeconomics
Technical Skills

Skills & Tools

💻 Languages
Python R Html CSS
📊 Libraries & Frameworks
NumPy Pandas scikit-learn Matplotlib Statsmodels Plotly
🛠️ Tools & Technologies
Git GitHub VS Code
Get In Touch

Let's Connect

I'm currently exploring opportunities in quantitative finance, machine learning, and data science. Feel free to reach out if you'd like to discuss potential collaborations or opportunities.

💼 LinkedIn 🐙 GitHub