Data-Driven Analytics Engineer with Cloud Proficiency

TIRTH PATEL

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Summary

Data-driven professional experienced in building and optimizing data pipelines, automating workflows, and designing scalable analytics solutions. Proficient in Python, SQL, and cloud-based data systems, with hands-on experience improving data quality, accessibility, and reporting efficiency. Passionate about turning complex datasets into actionable insights and supporting data-driven decision making across teams.

Education

Rutgers University New Brunswick, NJ, Graduation: May 2025 B.A. in Information Technology and Informatics; Minor- Data Science and Business Administration Dean’s List: Spring 2024 and Fall 2024. Major GPA: 3.654 Experience

KASHIVBIOSCIENCE - IT Intern June 2023 – Jan 2024

• Designed and maintained structured data workflows, ensuring accuracy across internal systems and reducing data errors by 30%.

• Developed automated data extraction and transformation scripts using Python and SQL, accelerating analytics and decision- making by 25%.

• Optimized cloud storage and compute usage, improving access speed and reducing infrastructure costs by 20%.

• Implemented role-based access automation in Active Directory, enhancing data security for 150+ users. CIPHERBRAINS TECHNOLOGIES LLP – Data Analytics Intern (Remote) Jul 2024 – Jan 2025

• Designed and optimized ETL-style workflows to clean and transform structured/unstructured data for downstream analysis.

• Queried and transformed datasets (patient, clinic, prescription, inventory) using SQL / PostgreSQL.

• Automated data preparation and reporting pipelines using Python (Pandas, NumPy, Matplotlib), reducing reporting time by 30%.

• Built dashboards in Looker Studio / Google Data Studio to make large datasets more accessible for stakeholders.

• Created fault-tolerant, automated reporting systems in Excel / Google Sheets, enabling recurring analytics with minimal manual input.

Projects

• NYC Airbnb Price Insights: Created modular workflow to clean, analyze, and visualize Airbnb pricing data with Pandas and Matplotlib, revealing pricing anomalies and spatial trends.

• U.S. States Guessing Game: Engineered data-driven interactive system in Python (Turtle, Pandas) with session logging and analytics for gameplay insights.

• COVID-19 Data Cleaning and Validation: Designed data wrangling pipeline using Python to standardize and validate 10K+ global records, ensuring data consistency.

• Smart Flight Discount Predictor: Developed ML pipeline using Scikit-Learn to predict airfare discounts; applied feature engineering and exploratory analysis.

• End-to-End Data Engineering Pipeline: Built scalable pipelines integrating 100K+ records from multiple domains using Python, Pandas, Seaborn; performed transformation, feature engineering, and visualization for multi-domain insights. Technical Skills & Certifications

Relevant Coursework: Object Oriented Programming, Database Technologies, Fundamentals of Data Curation and Management, Information Security, Data Analytics for Information Professionals, Data Science Capstone Project, Intro to Business Analytics. Technical Skills: Programming: Python (Pandas, NumPy, Matplotlib, Seaborn), Bash, Databases: MySQL, Microsoft Azure SQL, Database Normalization, Data Modeling, Indexing, System Administration: Windows Server, Linux (Ubuntu), Active Directory, Tools: Microsoft Azure, Jupyter Notebook, Git, Visual Studio Code, Tableau. Certifications:

• [PCEP-30-02] PCEP™ – Certified Entry-Level Python Programmer

• Microsoft Certified: Azure Data Fundamentals — Credential ID: C0794A66FECCE907

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