About Me
I am an ardent data science and machine learning developer with a strong engineering background and open-source contributions. Skilled in innovative problem-solving, I am eager to create impactful solutions that push the boundaries of technology.
📧 Email: preet.govind.23@gmail.com
📞 Phone: (+91) 847 592 9809
🐙 GitHub: Preet-Govind(rd)
🔗 LinkedIn: Preet Govind
🔗 GitLab: Preet-Govind
🌐 Netlify App: preet-govind.netlify.app
🔗 Stack-Overflow: Preet Govind
Skills
- Programming Languages: C#, Java, Python, Bash Shell Scripting
- Frameworks: ASP.NET MVC, Spring MVC, Flask
- Databases: OracleDB, SQL Server
- Business Intelligence & Reporting : SAP Crystal Reports, RDLC Reports
- Data Engineering: ETL, Apache Hadoop
- Cloud Platforms: Azure
- Artificial Intelligence: Linear Regression & Logistic Regression, SVM, NLP, CNN
Experience
National Informatics Center Services Incorp
Software Developer - Level 4
MAY 2023 - PRESENT, Dehradun
- Lead development projects for the State Planning Commission (Uttarakhand) and the Financial Data Center (UK Government).
- Developed and deployed full-stack web applications supporting over a million users, including the Accountant General.
- Managed UAT server operations and maintained ETL & Git pipelines for efficient data synchronization.
- Developed and optimized SQL packages & procedures (Oracle SQL, T-SQL) and back-end solutions with C# and Java.
- Provided technology recommendations to the Deputy Director (FDC) and Technical Advisory Committee (TAC).
- Enhanced data storage efficiency using tree structures, hash maps (Java), and hash tables (C#).
- Ensured data security and integrity with tuple logging and SHA-256 hashing.
- Elevated LightHouse ratings to 90%, enhancing page load times and user experience.
- Implemented payment gateways for government web portals.
- Developed machine and deep learning models for Hindi script recognition, PDF tabular data extraction and image readability assessment.
Education
Uttarakhand Technical University
BTech in Computer Science & Engineering
JUNE 2016 - JUNE 2020, Uttarakhand
CGPA: 7.21
Projects
Fake News Detection
- Based on Big Data and Machine Learning.
- Utilizes SVM and XGB algorithms with a 3.34% performance increase compared to unpipelined SVM.
- Data sets sourced from Kaggle and RSS feeds compiled into a single JSON file.
PDF Text Vision
- Assesses human readability of PDF files using Laplacian operations & Faster R-CNN (deep learning) and extracts text from PDF files, supporting Hindi and English.
- Uses OpenCV2, Python, PyTesseract, and Flask as a web application framework.
Awards
Gold Medalist and ‘A’ Level Certified
- National Cadet Corps (NCC)First Position: Tabla Solo Instrumental
- Zonal Level Competition, Delhi (NCT)
Certifications
Stanford University & DeepLearning.ai (Andrew NG) - Coursera
Machine Learning Specialization
MAY - JUNE 2024
Grades: 100%
National Programme for Technology Enhanced Learning (NPTEL)
Database Management System (DBMS) - IIT Kharagpur
FEBRUARY - MARCH 2018
CGPA: 5.26