Vandana Sreenivasan
Sydney,Australia
Summary
Data Analyst with 4+ years of IT experience specializing in data analytics, artificial intelligence (AI), machine learning (ML), and web development. Skilled in building scalable dashboards, AI/ML models, and full-stack applications across banking, healthcare, and startup environments. Proficient in Python, Power BI, AWS, and React. Passionate about leveraging data and AI to drive business insights, optimize operations, and deliver innovative, intelligent systems.
Overview
5
5
years of professional experience
Work History
Data Analyst | Power BI Developer (Analyst)
Infosys Consulting
10.2024 - Current
- Developed a Data Quality dashboard in Power BI to track issues across 1M+ banking records, improving real-time issue resolution and enhancing migration readiness.
- Developed a Reconciliation dashboard in Power BI to detect data exceptions during migration, enabling early identification of discrepancies and reducing post-migration defects.
- Performed data modeling and created 20+ custom DAX measures, calculated columns, and tables for trend analysis, anomaly detection, and data inconsistency flagging.
- Standardized inconsistent data formats, removed nulls, added derived fields, and applied complex transformations using Power Query on 500K+ rows to ensure clean, report-ready data.
- Implemented Row-Level Security (RLS) with interactive slicers, tooltips, and drill-throughs to provide tailored stakeholder insights and identify migration blockers.
- Optimized dashboard performance by removing redundant fields and improving model efficiency; generated synthetic data using Python to simulate load and test scalability.
- Built a Power Apps resource management app, automating approval workflows and integrating with SharePoint for centralized tracking and streamlined operations.
Machine Learning Engineer (Associate Software Engineer)
UTS Rapido
09.2023 - 09.2024
- Built supervised machine learning models including a One-vs-All classifier for insurance loading prediction and an XGBoost model to identify customers likely to claim insurance, using Python (scikit-learn, pandas).
- Cleaned and preprocessed 800K+ customer records; applied SHAP for machine learning model interpretability and optimized model hyperparameters using RandomizedSearchCV.
- Addressed class imbalance through oversampling and applied one-hot encoding for categorical features; evaluated models with confusion matrix and F1 score, achieving 85%+ classification accuracy.
- Developed a AI-powered dashboard using Python Dash, integrated OpenAI GPT models and Llama 2 LLMs through prompt engineering to enhance sensor data insights; deployed on AWS EC2 with Docker containers.
- Developed a ship navigation system with spatial data visualization using Mapbox, a React + TypeScript frontend, and a Python FastAPI backend, containerized with Docker for cross-platform compatibility.
- Developed, tested, and deployed a progressive web application (PWA) with React, HTML, CSS, TypeScript, and hosted it via Cloudflare for optimized global delivery.
- Managed project code collaboration using Git for streamlined development and version control.
Software Engineer
Bayer
09.2022 - 09.2023
- Developed a Python desktop application using Tkinter, building a user-friendly interface, implementing core functionality, and ensuring seamless performance for end users.
- Automated and manually tested medical devices, developing 100+ test cases to improve product quality.
- Utilized Jira for issue tracking and TortoiseHg for version control during development.
Data Analyst (Assistant System Engineer)
Tata Consultancy Services
08.2020 - 07.2022
- Completed training in Python, Machine Learning, Bash, Java, and SQL, finishing ahead of schedule and earning a bonus for early completion.
- Developed Power BI dashboards to monitor a bank's data migration, providing real-time insights into migration progress, data quality, and system integration.
- Populated data into SQLite databases and ran queries to validate DAX measures calculations, ensuring the accuracy and reliability of migration metrics.
- Added live connections to databases to enhance performance and reduce refresh times for large datasets in Power BI.
- Implemented Agile methodologies using Jira, contributing to project management and facilitating the timely delivery of data-driven solutions.
- Created and managed a Jira board for tracking and planning migration tasks, ensuring efficient coordination and timely execution of migration activities.
Education
Master of Information Technology - Data Analytics
University of Technology Sydney
Sydney, NSW06.2024
B.E - Telecommunication Engineering
MS Ramaiah Institute of Technology
Bengaluru, India08.2020
Skills
- Programming: Python, SQL, Java, Bash
- Data Analysis & Visualization: Power BI, Tableau, Excel
- Databases: SQLite, MySQL, PostgreSQL
- Cloud Platforms: AWS (S3, EC2, Elastic Beanstalk, EBS, VPC)
- Web Development: React, FastAPI, Python Dash, HTML, CSS, TypeScript
- DevOps & Tools: Git, Docker, Jira, TortoiseHg
Accomplishments
- Microsoft Certified: Azure Data Fundamentals, 04/24 - Present
- Recipient of the UTS Dean's List, 2022, 2023
- Runner up in Ericsson Datathon 2023, For outstanding data analysis and awarded $100 cash prize.
- Received postgraduate academic excellence international scholarship from UTS
- Published IEEE paper on 'Ultra-Wide Band Symmetric Slots Antenna for Wearable Applications'
Timeline
Data Analyst | Power BI Developer (Analyst)
Infosys Consulting
10.2024 - Current
Machine Learning Engineer (Associate Software Engineer)
UTS Rapido
09.2023 - 09.2024
Software Engineer
Bayer
09.2022 - 09.2023
Data Analyst (Assistant System Engineer)
Tata Consultancy Services
08.2020 - 07.2022
Master of Information Technology - Data Analytics
University of Technology Sydney
B.E - Telecommunication Engineering
MS Ramaiah Institute of Technology
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