Summary
Work History
Education
Skills
COLLEGE PROJECTS
CERTIFICATIONS
Timeline
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Raghav Dargan

Raghav Dargan

Summary

Aspiring Data Analyst with experience in financial data reconciliation, large-scale data analysis, and automation using SQL, Excel, and StreamSets. Proficient in Python and machine learning, with a strong academic foundation and a passion for solving real-world data problems through innovative solutions.

Work History

Data Analyst

Raghav
Bengaluru
01.2025 - Current

Osfin.ai is a financial technology company specializing in data reconciliation and automation tools that help banks and financial institutions ensure accuracy, compliance, and efficiency in large-scale transaction processing.

  • Created structured data tables as the foundation for ingestion, then developed and configured StreamSets pipelines to ingest and transform client data using tools like Regex and Data Converter, ensuring compatibility with reconciliation workflows
  • Analyzed over 1 million data records to detect anomalies, match transactions across multiple data sources, and identify reconciliation breaks using SQL and Excel
  • Developed and implemented optimized stored procedures to enhance the performance of large-scale reconciliation processes involving millions of transaction records.

Education

Bachelor of Engineering - Computer Engineering

Thapar Institute of Engineering And Technology
Patiala, Punjab
06-2025

Delhi Public School
Faridabad, Haryana

Skills

  • Programming Languages: C, Python, R, SQL
  • Databases: Relational Databases, MongoDB (NoSQL)
  • Tools: Git/Github, VS Code, Pycharm, Rstudio, MATLAB, OpenGL, Photoshop
  • Libraries and Frameworks: Numpy, Pandas, Seaborn, Matplotlib, Tensorflow Keras, Scikit-Learn, OpenCV

COLLEGE PROJECTS

TopsisCalc: Topsis Python Package | Python  

Uploaded a Python package to PyPI.org for calculating Topsis score, facilitating multi-criteria decision-making  analysis on text classification.

MediVision: Medical Resolution Enhancement | Python, TensorFlow, GANs 

Implemented a Super-Resolution GAN (SRGAN) model to enhance low-resolution medical images, achieving  PSNR values above 25 dB and SSIM scores exceeding 0.8.  

CERTIFICATIONS

  • Introduction to C++ from Coding Ninjas
  • R Programming from Johns Hopkins University
  • Exploratory Data Analysis from Johns Hopkins University
  • Generative Deep Learning with TensorFlow from DeepLearning.AI
  • Simplified Approach to DBMS from Udemy
  • Microsoft Office Fundamentals: Word, Excel, PowerPoint from Microsoft

Timeline

Data Analyst

Raghav
01.2025 - Current

Bachelor of Engineering - Computer Engineering

Thapar Institute of Engineering And Technology

Delhi Public School

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Raghav Dargan