Data Engineering
Building Python ETL pipelines that load CSV, Excel and JSON data into relational databases, with data quality checks and reconciliation.
- Python
- SQL
- ETL
- Data Validation
- Data Quality
- Data Integration
hi, I'm
01About
I'm Ananya, a Master of Computer Science (Data Science and AI) student from the University of Sydney, completing my coursework in November 2026. I enjoy turning raw data into something a team can rely on, and explaining it in plain language to the people who use it.
I'm a quick learner who thrives in a team: I ask good questions, pick up new tools fast and care about doing things properly. I'm looking for a graduate or junior role in data engineering or analytics in Australia.
02Skills
Building Python ETL pipelines that load CSV, Excel and JSON data into relational databases, with data quality checks and reconciliation.
Designing relational schemas from ER models and automating business rules with PL/pgSQL functions and triggers.
Cleaning and exploring datasets, engineering features and comparing classification models.
03Experience
SAAC IT Solutions Pvt Ltd · Hyderabad, India
✈ Key project
RideThe15 — Rideshare & Carpooling Platform
Built data-processing workflows and operational dashboards and scorecards with daily, weekly and monthly trend analysis.
SAAC IT Solutions Pvt Ltd · Hyderabad, India
✈ Key project
Wood Management System — Timber Depot Operations & Billing
Supported purchase, sales, stock and pricing requirements for a multi-depot billing system, validating master data and transaction reports.
04Projects
University and industry projects in data engineering, databases and machine learning.
University of Sydney · Group project · 2025
Transformed 30 years of NSW BOCSAR crime data across 60+ offence subcategories from wide monthly time series into a model-ready dataset, normalising counts to rates per 100,000 population. Engineered trend features (5-year slope, momentum, volatility, peak year) and compared five classifiers (Random Forest, SVM, Logistic Regression, Naive Bayes, Decision Tree), with Random Forest and SVM reaching ~95% accuracy.
University of Sydney · Group project
Built a 12-table PostgreSQL database from ER and relational models, enforcing data integrity with primary/foreign keys, CHECK constraints and cascading rules. Developed PL/pgSQL functions and triggers to automate business rules, including sale price calculation, vehicle status updates, option limits and payment completion tracking. Implemented a Python (psycopg2) feature to update car sale records with input validation and parameterised SQL queries, and performed end-to-end application testing.
University of Sydney · Pair project · Mar 2025 — May 2025
Cleaned and explored a health survey dataset using Pandas and Seaborn (deduplication, missing-value imputation, range validation) to analyse diabetes risk factors. Built an SVM (RBF kernel) classifier in scikit-learn to predict forest cover types, applying feature scaling, one-hot encoding, PCA, class weighting and RandomizedSearchCV with stratified cross-validation, achieving 67% test accuracy.
SAAC IT Solutions · Software Engineer (Part-time)
Built data-processing workflows and operational dashboards and scorecards with daily, weekly and monthly trend analysis for a rideshare and carpooling platform.
SAAC IT Solutions · Business Analyst Intern
Supported purchase, sales, stock and pricing requirements for a multi-depot billing system, validating master data and transaction reports.
05Education
University of Sydney · Sydney, Australia
Coursework completion: November 2026 · Degree conferral: 2027
Gokaraju Rangaraju Institute of Engineering and Technology (GRIET) · Hyderabad, India
🏆 Achievements
Sydney Scholars India Scholarship (2025)
Awarded by the University of Sydney for academic performance, leadership and community engagement.
📜 Certifications
psst… click a certificate to see the real thing ✨
06Leadership & Volunteering
University of Sydney
GRIET
Take a look at my projects or download my résumé for the full details.
07 — Contact
Let's chat! Feel free to reach out about graduate or junior opportunities, projects, or just to connect.