Microsoft Certified Data Scientist, currently pursuing a part-time Masters in Computational Data Analytics (AI/ML) at Georgia Institute of Technology . A competent, result-driven AI/ML professional with a strong Work Ethic and Growth Mindset, who understands core business drivers, communicates fluently across diverse stakeholders, and applies a high-level strategic vision to achieve tangible ROI and business impact.
Half a decade of Data Consulting experience delivering enterprise-level Business Intelligence, ML Solutions, Analytics and Reporting, Data Engineering, and Database Adminstration (Azure, GCP, Python, SQL, Power BI). Proven ability to manage client relationships and deliver end-to-end data solutions from inception to completion.
🎓 Education
- Georgia Institute of Technology: Masters of Science in Analytics (Computational Data Analytics - Data Science)
- St. Olaf College: Bachelor of Arts in Mathematics & Economics with Concentration in Statistics & Data Science
- Budhanilkantha School: Cambridge International GCE A-Levels in Physics, Chemistry, Mathematics, Economics, English
🏅 Certifications:
- Microsoft Certified: Azure Data Scientist Associate
- Microsoft Certified: Data Analyst Associate
- Snowflake: BUILD 2023 LLM Bootcamp Badge
- The Dale Carnegie Course
🤖🧠 AI & ML Engineering: Azure Machine Learning, Azure Databricks, VertexAI, MLflow, MLOps, Foundation Models, RAG, AI Agents, MCP
- ML Models: Supervised - Regression (Linear, Logistic, Regularized), Decision Tree, Random Forest, SVMs, Naive Bayes, Gradient Boosting (XGBoost, LightGBM), Unsupervised - KNN, KMeans clustering, PCA
- Deep Learning: CNNs, RNNs, Neural Network
- NLP: LLMs, RAG, LAD, GPT, BERT, Perceptron, SVD, LSTM, Glove, Word2Vec (C-Bow, Skip-Gram)
🔗⚙️ Data Engineering and Management: Azure Data Factory, Azure Synapse Analytics, Azure SQL DBs, SQL Server, MYSQL, PostgreSQL, Azure CosmosDB, Big Query, Logic Apps, Docker
💻 Programing Languages: Python, SQL, R, DAX, C#, C++
- Python Library: Numpy, Pandas, Scikit-learn, Tensorflow, Pytorch, Seaborn, Spacy, Matplotlib, Plotly
- R Library: tidyverse, Shiny, FNN, glmnet, randomForest, tree, LakeMetabolizer, lubridate
📈📊 Data Visualization: Power BI, Tableau, D3.js, Excel, Google Data Studio, Graphana, New Relic
🐙🔄 Version Control and extra: GitHub, Azure DevOps, Microsoft 365, SharePoint, WordPress
🌍 Languages: Fluent in English, Nepali, Hindi
⚽ Hobby: Soccer (Playmaker), Singing (YouTuber), Fishing (Bass and Brook Trout), Health & Fitness (Weight Lifting, Diet, Recovery), Hair Cutting (Fade), Drone Cinematography