Welcome to my GitHub! I'm a graduate with a Master’s in Data Science and Analytics at Florida Atlantic University, USA (Aug 2023 – Apr 2025) with a CGPA of 3.79/4. This journey has been both challenging and rewarding, giving me the space to explore everything from statistics to machine learning and big data technologies.

• Database Management Systems (DBMS)
• Data Mining & Machine Learning
• Predictive Analytics
• Introduction to Big Data - Business Analytics
• Introduction to Data Science
• Natural Language Processing (NLP)

I worked as a GTA for Data Mining & Machine Learning, where I supported students with:

• Excel-based analytics (XLMiner)
• Python ML workflows
• Data preprocessing and modeling
• One-on-one project mentoring and guidance

This role has helped me solidify my fundamentals while also developing a knack for teaching and breaking down complex ideas.

Before moving to the U.S., I worked as a System Engineer at TCS, where I handled data engineering and analytics work across large-scale banking and telecom systems.

My work primarily involved:

• Writing and optimizing complex queries using Oracle SQL and developing robust PL/SQL procedures and packages.
• Designing and deploying dynamic Power BI dashboards with DAX measures, role-based security, bookmarks, and custom KPIs, enabling real-time insights for finance, compliance, and operations.
• Developing ETL pipelines using Oracle Data Integrator (ODI) to move data from the Data Staging Area (DSA) to the Operational Data Warehouse (ODW).
• Executing and scheduling backend ingestion processes with KornShell (KSH) scripts on UNIX servers, which helped automate daily batch loads.
• Performing data transformation and cleansing for large telecom datasets, ensuring clean and audit-ready data pipelines.
• Embedding dashboards into internal portals using JavaScript, HTML5, and CSS3 for responsive, interactive BI experiences.
• Setting up Power BI Gateway for automated refreshes from Oracle, Excel, and shared drives — eliminating manual reporting.
• Working with Google Cloud tools like BigQuery for scalable SQL analysis and Google Cloud Storage (GCS) for handling batch files and backups.
• Delivering Excel-based reporting solutions using pivot tables, VLOOKUP, conditional formatting, and Power Query-based data validation.

These hands-on experiences taught me how to think end-to-end — from raw data ingestion and cleansing, to building automated dashboards that speak to real business problems. It also sparked my deep interest in data engineering, automation, and scalable cloud-based analytics.

Check out my main project space here → 🔗 Projects Repository

This repo is my growing portfolio where I’ll be adding:

• Real-world data science case studies
• End-to-end ML projects
• ETL and pipeline automation work
• Cloud-based analytics (e.g., BigQuery, Airflow, GCP)

I’m constantly updating it with new ideas and learnings, so feel free to check back anytime. Feedback, suggestions, or collaborations are always welcome!

If you're working on something exciting in the data world — or just want to talk tech — feel free to reach out!

LinkedIn → akhil-chatla-07847b1a7

Thanks for stopping by! 😊