Available for opportunities
Omkar Sinare

Omkar Sinare

Pune, Maharashtra

Data Engineer. Automation Specialist.

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About

I turn data chaos into scalable systems.

I'm a Data Engineer and Automation Specialist focused on solving real operational bottlenecks. From processing 300k+ row datasets to building custom fuzzy matching engines, I transform manual chaos into reliable, automated workflows that teams actually use.

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Rows Handled

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Effort Saved

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Years Building

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Tools Shipped

Experience

Open Links Foundation

Data Analyst L1

Full-timeDec 2024 – Present

Open Links Foundation

  • Built automated exam pipeline covering center allocation, roll numbers, and admit cards.
  • Developed token-based fuzzy matching engine reducing manual lookup effort by 40%.
  • Architected Streamlit scholarship dashboards processing 300k+ records.
TechnoHacks Edutech

Java Developer Intern

InternshipOct 2023 – Dec 2023

TechnoHacks Edutech

  • Developed GUI-based ATM simulation with full transaction lifecycle.
  • Applied OOP patterns across multiple tooling projects.

Skills

PythonPythonAdvanced
PostgreSQLPostgreSQLLearning
Next.jsNext.jsLearning
SQLSQLAdvanced
AWSAWSIntermediate
GitGitAdvanced
JavaJavaIntermediate
StreamlitStreamlitAdvanced
PandasPandasAdvanced
NumPyNumPyAdvanced
OpenCVOpenCVIntermediate

Featured Projects

Project 01

Cyber Attack Detection System

ML/DLPythonCybersecurity

Real-time intrusion detection using a hybrid Random Forest + CNN pipeline, optimized for low-latency threat classification.

  • 01Hybrid framework: Random Forest and XGBoost for tabular classification, CNN for spatial pattern recognition across network traffic.
  • 02Feature engineering and PCA-based dimensionality reduction to isolate the 10 highest-signal features, cutting inference latency.
  • 03Achieved high-precision real-time monitoring with optimized model efficiency suitable for live deployment.

Architecture

ML Pipeline

ML Pipeline

System Architecture

System Architecture

Project 02

Vinoba Platform — Data & Automation

PythonStreamlitApps Script

End-to-end data engineering suite handling 300,000+ rows, reducing manual processing time by 80% across scholarship and exam pipelines.

  • 01Scholarship Data Tool: Python + Streamlit pipeline processes 300k+ rows in minutes, replacing brittle Excel-based workflows entirely.
  • 02Intelligent Name Matching: Token-based fuzzy matching engine in Google Apps Script, outperforming VLOOKUP and reducing manual effort by 40%.
  • 03End-to-End Exam System: Designed centralized system for center allocation, roll number generation, and digital admit card delivery.

Contact

Have a project in mind? Let's talk.