Open to opportunities

Priyanka Chelani

@priyankachelani

Message

Aspiring data engineer and data analyst; I build ML pipelines with Python/SQL.

India

Message

What I'm looking for

I’m looking for an entry-level data role where I can build reliable data pipelines and analytics products using Python/SQL/ETL, contribute to ML workflows with strong data quality, and work with dashboards and cloud tools like Databricks to deliver measurable impact.

I’m an MCA postgraduate and aspiring data professional with hands-on experience in Python, SQL, ETL processes, and data pipeline development. I’ve built end-to-end ML pipelines with automated data quality checks, validation, and preprocessing workflows—earning results up to 84% model accuracy. I also focus on data transformation, EDA, and dashboard development to turn messy data into clear insights.

From my data analytics internship, I analyzed 4000+ customer records using Python and EDA to extract factors behind term deposit subscriptions. I developed Logistic Regression models with automated preprocessing and feature engineering to improve accuracy (80–85%) while reducing manual effort, and I created an end-to-end ML pipeline for colorectal cancer survival prediction with improved preparation efficiency and 84% predictive accuracy. I’m excited to keep building scalable, reliable systems through cloud-based data engineering and analytics work.

Experience

Work history, roles, and key accomplishments

Data Engineering Program

Analyx Academy

Apr 2026 - Present (3 months)

Completed a 15-day data engineering program covering SQL, Python, ETL processes, Power BI, and data pipeline concepts. Gained hands-on experience with Databricks using Delta Lake, notebooks, and end-to-end pipeline execution.

SQL Python ETL Power BI Data Pipelines Databricks Delta Lake Notebooks Data Ingestion data transformation

Data Analytics Internship

Skillfied Mentor

Feb 2026 - Present (5 months)

Completed three analytics and machine learning projects under mentorship, including EDA and model development with automated preprocessing. Implemented data quality checks and built end-to-end pipelines to improve model readiness and predictive performance.

Python Pandas EDA Logistic Regression Feature Engineering data preprocessing Data Quality Null Validation Anomaly Detection Class Distribution Verification Machine Learning Pipelines

Data Analytics Job Simulation

Deloitte Australia

Feb 2026 - Present (5 months)

Completed a Deloitte job simulation involving data analysis and forensic technology. Created a Tableau dashboard and used Excel to classify data and draw business conclusions.

Data Analysis Forensics Tableau Excel