Experienced Cloud Software Engineer (Golang) with 3 Years of Expertise | Proficient in Go, IBM Cloud, Docker, Kubernetes, Microservices and CI/CD Pipeline
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IBM Cloud
Data Scientist
June 24, 2026 – Present
GoLang-Learning
November 28, 2024 – December 18, 2024
A well-organized repository of practical Golang examples 🐹 to help you understand core concepts and best practices. Dive into topics like channels, goroutines, and more, with each concept neatly structured and easy to explore! 🚀
View ProjectDaily-DSA-Journey
July 5, 2024 – October 7, 2024
"A repository for my day-to-day experiences, solutions, and improvements in Data Structures and Algorithms in java."
View ProjectURL-shortener-golang
May 24, 2024 – May 24, 2024
URL-shortener-golang — GitHub repository
View ProjectBrainHealth-AI
April 28, 2024 – April 28, 2024
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
View ProjectWeatherSnap
April 28, 2024 – April 30, 2024
Stay ahead of the weather with WeatherSnap. Get real-time updates, forecasts, and insights for your location, ensuring you're always prepared for whatever nature brings.
View ProjectSkinVision-AI
April 28, 2024 – April 28, 2024
SkinVision AI: Swiftly identify skin conditions with AI. Upload images, get accurate diagnoses & info on symptoms/treatments
View ProjectMachine_Learning
June 16, 2022 – June 30, 2022
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 metric
View ProjectAdvanced_Python_Programming
May 4, 2022 – May 4, 2022
Repository of all Assigments of Advanced Python Programming of CDAC PG-DAI Course
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, including web development (JavaScript, HTML, CSS), GoLang, and Java DSA, suggests a broad technical curiosity, which can be a positive cultural fit for dynamic environments. However, the depth of experience in each area, particularly Data Science, needs further validation. The target role is 'Data Scientist', and while there are relevant projects, the breadth of other technologies might indicate a less focused path or a strong generalist tendency.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. No psychometric test results or interview feedback are available.