hi, I'm

AnanyaCheripally

Data-driven techie building
data pipelines
</>hi :)

01About

A little about me

  • Data Engineering
  • Python
  • SQL
  • ETL
  • Data Analytics

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.

Based in
Sydney, NSW
Studying
MCS (Data Science & AI) · USYD
Open to
Graduate & junior data roles
Fuelled by
Coffee ☕
SQL{ }0101</>

02Skills

My toolkit

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

Databases & Modelling

Designing relational schemas from ER models and automating business rules with PL/pgSQL functions and triggers.

  • PostgreSQL
  • MySQL
  • PL/pgSQL
  • ER Modelling
  • Query Optimisation

Data Analysis & ML

Cleaning and exploring datasets, engineering features and comparing classification models.

  • Pandas
  • NumPy
  • scikit-learn
  • Seaborn
  • Excel
  • Machine Learning

Technologies & Tools

  • Python
  • SQL
  • PostgreSQL
  • MySQL
  • SQLite
  • Pandas
  • NumPy
  • scikit-learn
  • Seaborn
  • psycopg2
  • ETL
  • Data Validation
  • Data Quality
  • Query Optimisation
  • Excel
  • Tableau
  • Git
  • GitHub
  • VS Code
  • Jupyter Notebook
  • Postman
  • Agile
Python✦SQL✦PostgreSQL✦MySQL✦SQLite✦Pandas✦NumPy✦scikit-learn✦Seaborn✦psycopg2✦ETL✦Data Validation✦Data Quality✦Query Optimisation✦Excel✦Tableau✦Git✦GitHub✦VS Code✦Jupyter Notebook✦Postman✦Agile✦Python✦SQL✦PostgreSQL✦MySQL✦SQLite✦Pandas✦NumPy✦scikit-learn✦Seaborn✦psycopg2✦ETL✦Data Validation✦Data Quality✦Query Optimisation✦Excel✦Tableau✦Git✦GitHub✦VS Code✦Jupyter Notebook✦Postman✦Agile✦

03Experience

Where I've worked

  1. Feb 2023 — Jan 2025

    Software Engineer (Part-time)

    SAAC IT Solutions Pvt Ltd · Hyderabad, India

    • Developed and maintained Python ETL pipelines to extract, transform and load CSV, Excel and JSON data into PostgreSQL and MySQL databases for business reporting.
    • Wrote SQL queries to validate data loads, reconcile record counts and generate business reports.
    • Automated recurring data processing and reporting workflows with Python (Pandas), reducing manual spreadsheet preparation.
    • Built data quality checks (duplicates, nulls, consistency, reconciliation) and resolved failed loads by tracing root causes through execution logs.
    • Worked in Agile sprints with code reviews and Git/GitHub pull requests, and documented ETL workflows and database changes.

    ✈ Key project

    RideThe15 — Rideshare & Carpooling Platform

    Built data-processing workflows and operational dashboards and scorecards with daily, weekly and monthly trend analysis.

    • Python
    • Pandas
    • SQL
    • PostgreSQL
    • MySQL
    • ETL
    • Git
    • Agile
  2. Jul 2022 — Jan 2023

    Business Analyst Intern

    SAAC IT Solutions Pvt Ltd · Hyderabad, India

    • Gathered, analysed and documented business requirements, translating operational processes into structured functional requirements.
    • Developed Python automation scripts to process inventory, sales and customer data from Excel, CSV and other structured sources.
    • Created reusable validation scripts (Pandas, NumPy) to detect missing values, duplicates and formatting issues, and validated imported records in SQLite and PostgreSQL databases.
    • Prepared functional and UAT test scenarios, performed API testing with Postman, and documented workflows and user guides.

    ✈ 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.

    • Python
    • Pandas
    • NumPy
    • SQLite
    • PostgreSQL
    • Postman
    • UAT

04Projects

Featured projects

University and industry projects in data engineering, databases and machine learning.

🧠 Machine Learning

Predicting High-Priority Crime Threats in NSW

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.

years of data
30
years of data
offence subcategories
60+
offence subcategories
accuracy
~95%
accuracy
  • Python
  • Pandas
  • scikit-learn
  • Random Forest
  • SVM
🗄️ Databases

Car Dealership Database System

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.

tables
12
tables
triggers
PL/pgSQL
triggers
SQL
Parameterised
SQL
  • PostgreSQL
  • PL/pgSQL
  • Python
  • psycopg2
  • ER Modelling
🧠 Machine Learning

Forest Cover Classification & Diabetes Risk Analysis

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.

test accuracy
67%
test accuracy
RBF kernel
SVM
RBF kernel
cross-validation
Stratified
cross-validation
  • Python
  • Pandas
  • Seaborn
  • scikit-learn
  • SVM
  • PCA
⚙️ Data Engineering

RideThe15 — Rideshare & Carpooling Platform

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.

trend analysis
Daily
trend analysis
trend analysis
Weekly
trend analysis
trend analysis
Monthly
trend analysis
  • Python
  • SQL
  • Pandas
  • Dashboards
⚙️ Data Engineering

Wood Management System — Timber Depot Operations & Billing

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.

billing
Multi-depot
billing
data validation
Master
data validation
reports
Transaction
reports
  • Requirements Analysis
  • Data Validation
  • UAT
  • Postman

05Education

Where I've learned

  1. Feb 2025 — Present

    Master of Computer Science (Data Science and AI)

    University of Sydney · Sydney, Australia

    Coursework completion: November 2026 · Degree conferral: 2027

  2. Mar 2020 — Jun 2024

    Bachelor of Technology — Computer Science Engineering

    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

Giving back

  1. May 2025 — Jul 2025

    Volunteer — Professor Harry Messel International Science School

    University of Sydney

    • Supported students and international participants with activities, logistics and day-to-day queries during the academic program.
  2. Mar 2023 — Apr 2024

    Secretary — IEEE Computer Society Student Chapter

    GRIET

    • Coordinated technical workshops, student and faculty communications, event documentation and engagement activities.

Looking for a Graduate Data Engineer or Analyst?

Take a look at my projects or download my résumé for the full details.

07 — Contact

Let's grab a coffee ☕

Let's chat! Feel free to reach out about graduate or junior opportunities, projects, or just to connect.

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Connect on social

say hi, I don't bite (I do drink a lot of coffee) ☕