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Hi! πŸ‘‹

This is Snigdha Bose.

  • I'm working as a Senior Full-Stack Developer πŸ‘©β€πŸ’».

  • A computer science engineer πŸŽ“ having experience working in the financial services industry πŸ’Έ as a developer, a home automation startup as an android developer and contributed to Kindle πŸ“• as an ACMS intern.

  • Currently working with NLP (Natural Language Programming) for social media analytics and cyberbullying detection .

  • Know about more of my experiences at : :octocat: My Resume

Connect with me:

linkedin email

Languages and Tools:

android angular angularjs arduino bash bootstrap c cplusplus css3 docker git grafana html5 java javascript jenkins kafka kibana kubernetes matlab mssql mysql nodejs oracle pandas postgresql postman python sass scikit_learn selenium spring typescript unity

Snigdha Bose's Projects

digitalwallethub icon digitalwallethub

DigitalWalletHub is a E-Wallet Application combining the prowess of Spring Tool Suite (STS) and Angular 9. Seamlessly manage transactions, backed by an H2 database (soon transitioning to Oracle 11g)

eagle icon eagle

Visual and Interactive Code Exploration developer tool

fpe-ff3-des-encryption icon fpe-ff3-des-encryption

Encrypt and protect sensitive data with Format Preserving Encryption (FPE) using the FF3 algorithm with DES. A secure Java-based solution that maintains data format integrity. Explore FPE-FF3-DES-Encryption for robust information security. πŸ›‘οΈπŸ”πŸš€

randomness-analysis-tool icon randomness-analysis-tool

A tool for testing and analyzing randomness using random number generators, estimating Ο€ and visualizing results.

regressionalchemy icon regressionalchemy

Explore Linear Regression with Gradient Descent, Stochastic Gradient Descent, and Ridge Regression. Uncover algorithmic insights in data modeling. πŸ“ŠπŸŽΆπŸš€

shortestpath icon shortestpath

Bellman-Ford and Dijkastras' algorithm for shortest path finding

textsecureai icon textsecureai

Empower online spaces with TextSecureAI – an innovative Cyberbullying Detection project. Utilizing advanced sentiment analysis, Naive Bayes, and SVM, this system ensures swift identification of hate speech on Twitter. Achieving 95% precision, it's a formidable guardian against online toxicity. Join us in creating a safer digital world! πŸŒπŸ›‘οΈ

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