Hi I'm Dr Sachin Saxena, a dedicated Azure Databricks developer with a deep passion for data science. Here is my career summary:
- 🎓 PhD | Sr. Data Analyst | Ex-Sr. Software Engineer (Data Scientist)
- 🚀 Data Engineer Trainer | Generative AI | ML Engineer
- ⚙️ Azure | Databricks | PySpark | ADF | NLP
- 📊 16K+ Community Reach | Trainer & Mentor
- 💼 @Teleperformance | ex-@Gavs Technology👋
- Databricks, Data Engineering, PySpark, Generative AI, NLP
- 🔭 I’m currently working on ... ETL, Azure Data Factory, Artificial Intelligence
- 🌱 I’m currently learning ... MLOps, Azure Foundry, Azure DevOps
- 👯 I’m looking to collaborate on ... Machine Learning, Python, Deep Learning, Computer Vision
- 🤔 I’m looking for help with ... advance SQL, Power BI, Statistics, advance Excel
- 💬 Ask me about ... Padai, Padai aur bas Padai
- 📫 How to reach me: +91-8909603708
- 😄 Pronouns: Dr Sachin Saxena, My career has been shaped by a commitment to mastering data visualization, analysis, and machine learning techniques, enabling me to create designs that are both aesthetically pleasing and insightful.
- ⚡ Fun fact: ... Bahut hi boring insaan hu, un logo ko jaldi chor deta hu, jo apne career ko lekar sincere nahi hai, ya idhar udhar jyada dhyaan rehta hai....
→ Designing and deploying ETL pipelines with ⚙️ Databricks, 🔥 PySpark, and ☁️ Azure Data Factory. → Building CI/CD workflows with 🚀 Azure DevOps. → Creating 📊 Power BI dashboards that boosted sales by 25% and improved customer retention by 15%.
→ Developed 🤖 predictive models for U.S. hospitals (📈 regression, 🔗 API integration). → Executed 🧠 medical image analysis (🎯 YOLO tumor segmentation, 🩻 MRI annotation). → Led a team on 🗄️ SQL & ☁️ AWS to optimize healthcare data pipelines.
🎓 Earlier role...Assistant Professor (2010–2022) at ABES, SRMS CET, College of Engineering Roorkee, Rajshree Institute, GRD Institute
→ Taught 📘 AI, ML, Data Science, and Cloud Computing. → Conducted 🔬 deep learning research on diabetic patients, publishing 📑 international papers. → Built 🗂️ medical datasets (MRI/CT scans) and proposed 🏥 novel deep learning models for disease diagnosis.
| 🔗 Project Name | Description | Tech Stack |
|---|---|---|
| ☁️ Azure Data Engineering Hands-on project with Unity Catalog, Delta Lake, Medallion Architecture | End-to-end ETL from Weather API to Data Lake & Delta using PySpark & ADF | ADF, Databricks, Delta, Blob Storage |
| 🤖 Yolov8 for custom dataset ASL Sign Language | Built 2 NLP tools that match resumes with job descriptions using TF-IDF and cosine similarity. Bhagwat-themed UI, filters, and skill extraction. | Python, Streamlit, TF-IDF, SpaCy, Azure Databricks |
| 🏅 Training YOLOv7 on a Custom Dataset | Ingested, cleaned & aggregated Olympic data using ADF & PySpark in Delta Lake format | ADF, Azure DevOps, Databricks, PySpark, Delta |
| 🚖 Implementation of seven Deep Learning Algorithms on biomedical images Dataset | Real-time Azure pipeline with Event Hub → Stream Analytics → Databricks → Delta Lake External Tables | Event Hub, Stream Analytics, Key Vault, Databricks, Delta |
| 📊 Databricks Certified Machine Learning Engineer | Applied Data Warehousing concepts on AdventureWorks dataset | SQL Server, SSMS, ETL |
| ☁️ Azure ETL Pipeline | End-to-end ETL from Weather API to Data Lake & Delta using PySpark & ADF | ADF, Databricks, Delta, Blob Storage |
| 🗂️ Kidney Tumor Segmentation using YOLOv5 in Pytorch, Stone Segmentation | Web app with CRUD, auth, forms using Django | Django, Python, SQLite |