viru9029 Goto Github PK

followers: 2.0 following: 5.0 repos: 19.0 gists: 0.0

Name: VIRENDRA KATE

Type: User

Company: IBM

Bio: Experienced Go & Python Developer with 2 Years of Expertise | Proficient in IBM Cloud, Docker, Kubernetes, Microservices | Proficient in CI/CD Pipelines.

Location: Bengaluru

Hi there! 👋 I'm Virendra Kate

🚀 About Me

Welcome to my GitHub profile! I'm Virendra Kate, an experienced developer with a passion for building innovative solutions using Golang, Python, and cutting-edge technologies. With 2 years of dedicated experience, I specialize in Cloud architecture, DevOps, and pioneering Software Development.

Portfolio: Visit my portfolio

💻 Expertise

Programming Languages: Golang, Python
Data Science: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision
DevOps & Tools: IBM Cloud, Docker, Kubernetes, Tekton CI CD, Jenkins, Shell Scripting, Argo CD, AWS EC2, Postman
Web Development: Django, Flask, Gin, Rest APIs
Databases: SQL, MySQL, MongoDB, Oracle, PostgreSQL
AI Techniques: Transformer, Huggingface, Pretrained model, Transfer learning, Generative AI
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, Math, NLTK, TensorFlow, Keras, PyTorch Lightning
Tools: Microservices, Agile methodology, Anaconda, PyCharm, Jupyter Notebook, VSCode, GitHub, ServiceNow, CMDB

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📊 Profile stats

🛠️ Projects

Here are some highlights of my projects:

AI-Based Humanoid Broadcaster (Python & NLP)
- Description: Developed humanoid broadcasters using Natural Language Processing to assist in providing summaries of news articles. With the help of this project, readers can easily obtain summarized short news.
- Technologies Used: Python, NLP, Data Cleaning, Text Pre-processing, BERT, T5, Pickle, Pytorch Lightning, Pytorch, TensorFlow, Transformer, NumPy, Pandas, Flask Framework
Salary Price Prediction (Python & ML)
- Description: Worked on Data cleaning, Data visualization, model building, and performance evaluation of the model. Applied various Machine Learning Algorithms and achieved 82.20% accuracy with XGBoost Classifier.
- Technologies Used: Python, Machine Learning, XGBoost, Data Cleaning, Data Visualization, Model Building
Footwear E-commerce (Go lang & Gin Framework)
- Description: Created the backend of an E-commerce platform using the Gin framework. Developed approximately 20 APIs and implemented authentication. Independently completed the project, showcasing proficiency in Go(lang) development.
- Technologies Used: Go(lang), Gin Framework, Backend Development, API Development, Authentication
WeatherSnap
- The WeatherSnap is a user-friendly application that provides accurate weather information for any location worldwide. With a clean and intuitive interface, users can quickly check the current weather conditions, including temperature, humidity, wind speed, and more. Whether planning for a trip, organizing outdoor activities, or simply staying informed about the weather, this app offers a convenient way to access up-to-date weather data.
- URL : https://viru9029.github.io/WeatherSnap/
SkinVision-AI
- SkinVision AI: Swiftly identify skin conditions with AI. Upload images, get accurate diagnoses & info on symptoms/treatments.
- URL : https://skinvision-ai.streamlit.app/

🔭 Currently Working On

🌱 I’m currently working as a GoLang Developer

👯 Looking to Collaborate On

💞️ I’m looking to collaborate on Go Lang, Python, and AI technologies

🔗 Let's Connect

VIRENDRA KATE's Projects

advanced_python_programming

Repository of all Assigments of Advanced Python Programming of CDAC PG-DAI Course

ai-based-humanoid-broadcaster

The AI-Based-Humanoid-Broadcaster project focuses on developing humanoid broadcasters utilizing Natural Language Processing (NLP) techniques to assist in providing summaries of news articles. With the help of this project, readers can easily obtain summarized short news articles.

bostonhousepricing

brainhealth-ai

BrainHealth AI is a cutting-edge project dedicated to the detection and analysis of brain tumors using advanced AI technology. Our platform offers efficient and accurate tumor detection, aiding medical professionals in early diagnosis and treatment planning. Join us in advancing brain health through innovation and technology

careerfit-analyzer

Revolutionize your job hunt with CareerFit Analyzer – the all-in-one tool for resume evaluation and job matching. Easily upload your resume and job descriptions to uncover invaluable insights, such as recommended roles, ATS scores, and personalized recommendations for job application success.

database

Oracle and MySQL

footware-e-commerce

go_language

All GO Lang codes.

house-price-prediction

Regression Model

machine_learning

Practical Machine Learning : Machine Learning in Nut shell, Supervised Learning, Unsupervised Learning, ML applications in the real world. Introduction to Feature engineering and Data Pre-processing: Data Preparation, Feature creation, Data cleaning & transformation, Data Validation & Modelling, Feature selection Techniques, Dimensionality reduction, Recommendation Systems and anomaly detection, PCA ML Algorithms: Decision Trees, Oblique trees, Random forest, Bayesian analysis and Naïve bayes classifier, Support vector Machines, KNN, Gradient boosting, Ensemble methods, Bagging & Boosting, Association rules learning, Apriori and FP growth algorithms, Linear and Nonlinear classification, Regression Techniques, Clustering, K-means, Overview of Factor Analysis, ARIMA, ML in real time, Algorithm performance metrics, ROC, AOC, Confusion matrix, F1score, MSE, MAE, DBSCAN Clustering in ML, Anomaly Detection, Recommender System Self-Study: • Usage of ML algorithms, Algorithm performance metrics (confusion matrix sensitivity, Specificity, ROC, AOC, F1score, Precision, Recall, MSE, MAE) • Credit Card Fraud Analysis, Intrusion Detection system