Raghav Upadhyay

Raghav Upadhyay

Data Scientist

I craft data-driven solutions that bridge the gap between information and impact.

Passionate about machine learning, deep learning, and intelligent systems, I love uncovering insights hidden in data and transforming them into practical results.

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Experience

Data Analyst Intern

Sudhir Mehrotra & Associates, Chartered Accountants

Jan 2025 – Aug 2025 | Bareilly, India (Hybrid)

  • Analyzed financial statements to support audit and compliance decisions.
  • Developed forecasting models improving cash flow estimation accuracy by 15%.
  • Automated data workflows using Python and Excel macros, improving efficiency by 30%.
  • Built interactive dashboards for audit operations to enable faster data-driven insights.

Projects

Bitcoin Market Behavior: Forecasts Across Timeframes

Built predictive models for short-, mid-, and long-term Bitcoin price forecasting using LSTM and XGBoost. Compared moving averages for trend detection and optimized prediction accuracy.

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Hate Speech Detection Model

Developed a text classification model using Logistic Regression and Random Forest to detect hate speech in online data with 92% accuracy.

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Sentiment Analysis Annotation

Performed sentiment classification on Amazon reviews using Python and neural networks, achieving high inter-annotator agreement and robust accuracy.

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Commonsense Reasoning with Pre-trained Models

Benchmarked LLMs such as RoBERTa-MNLI and OPT-1.3B on commonsense reasoning datasets, achieving superior performance on PIQA tasks.

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Library Management System

Designed and implemented a hybrid SQL + NoSQL database system for library operations with features for transactions, reservations, and analytics.

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Skills

Programming

Python, R, SQL, C++, HTML, CSS

Data Analysis & Processing

Pandas, NumPy, Tidyverse, Excel (Advanced), Data Cleaning, Feature Engineering

Machine Learning & AI

Scikit-learn, XGBoost, Random Forest, Logistic Regression, LSTM, Neural Networks, NLP

Deep Learning Frameworks

TensorFlow, Keras, PyTorch

Data Visualization

Matplotlib, Seaborn, ggplot2, Power BI, Tableau

Databases

MySQL, PostgreSQL, MongoDB (NoSQL)

Tools & Platforms

Jupyter Notebook, Git/GitHub, yfinance, Excel Macros, Docker (basic), Tableau

Certificates

Fundamentals of Accelerated Data Science

Issuer: NVIDIA

Issued: October 2025

Skills:
  • Core Data Science Foundations
  • GPU-Accelerated Computing (RAPIDS Ecosystem)
  • Applied Machine Learning
  • Accelerated Ecosystem Integration
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AWS Academy Cloud Operations

Issuer: Amazon Web Services (AWS)

Issued: November 2022

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Education

Master of Science in Data Science

University of Arizona | 2024 – Present

GPA: 3.67 / 4.0

Bachelor of Technology in Computer Science

SRM University, Chennai | 2020 – 2024

Specialization: Software Engineering | GPA: 3.4 / 4.0

Resume

You can download my latest resume or open it directly to view my professional experience, education, and project work.

Download Resume View Online

Last Updated: August 26, 2025

Contact Me

I’d love to connect! Whether you have a question, an opportunity, or just want to talk data — feel free to reach out.

Email: raghavupadhyay@arizona.edu

LinkedIn: linkedin.com/in/raghav-upadhyay

GitHub: github.com/raghavupadhyay2002

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