Giter VIP home page Giter VIP logo

Hi there 👋

A bit about me

  • 🧑‍🎓 Currently studying Masters in Information Technology Management from The University of Texas at Dallas.

  • 👨‍🎓 Graduating in May 2021 amid the confused COVID period.

  • 👨‍🔬 I am currently learning advanced time series techniques, Machine Learning model deployment with ideas covering Business Intelligence and Data Scientist roles.

  • 👨‍💻 Looking for full-time roles all across the United States in the field related to data (data analyst, business analyst/intelligence, data science, product management).

  • 🤓 Proficient in statistics, python programming, probability, analytics.

  • 🎰 High Understanding of Statistical/Machine Learning models like classification, regression, clustering, anomaly detection, principal component analysis, dimensionality reduction, and recommendation systems (collaborative filtering and association rules).

  • :bowtie: Lean Six Sigma certified professional with an ability to manage and collaborate and work with cross-functional teams.

  • 🏃‍♂️ Always addicted to learning new things related to Machine Learning, Deep Learning, NLP, and interested in growing my git profile by accumulation of my learnings.

  • 👨‍💼 Worked at NTT DATA as Software Development Analyst from August 2017 - July 2019 (Bangalore, India).

  • 👨‍🏭 5 Months Experience as a Business Analyst Intern at Trusted Medical Centers (Hurst, Dallas).

  • 💬 Ask me about anything related to maths, programming, debugging and professional speaking.

  • 📫 How to reach me: https://www.linkedin.com/in/ssr95/

  • 📧 [email protected]

  • ⚡ Fun fact: The one who always thinks of using technical business (data-related) terms in day today talks of life.

Raghav's github stats

Sai Raghavendra Sridhar's Projects

applied-ml icon applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data_science_for_all icon data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

interview icon interview

Everything you need to prepare for your technical interview

nab icon nab

The Numenta Anomaly Benchmark

nlp-projects icon nlp-projects

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

sde-interview-questions icon sde-interview-questions

Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.