Anusha Karve

Data Science & Data Engineering Graduate Student

I design scalable analytics systems — from data warehousing and ETL pipelines to predictive modeling and decision intelligence. I’m currently seeking Summer 2026 internship opportunities in Data Science, Analytics, and Data Engineering (USA).

LinkedIn Email

Python • SQL • ETL Warehousing • Analytics Streamlit • Modeling

A quick intro

About

I build reliable data systems and analytics workflows that turn raw data into decisions.

What I do

My work spans end-to-end analytics: data modeling and warehousing, ETL pipelines, applied machine learning, and stakeholder-ready insights. I care about correctness, clarity, and repeatable systems.

What I’m looking for

Summer 2026 internships (USA) in Data Science / Data Analytics / Data Engineering
Work involving Python, SQL, pipelines, warehousing, dashboards, and model evaluation
Teams that value ownership, communication, and clean systems

High-signal work

Projects

Three projects that demonstrate hybrid strength: systems + analytics + decision intelligence.

Event-Driven Market Volatility & Sector Sensitivity Platform

Time Series

Event-driven analytics system to quantify sector responses around macroeconomic releases.

Built a time-series pipeline integrating sector ETF data with event calendars.
Evaluated persistence baseline vs Logistic Regression (with/without event features).
Engineered event-window features and rolling risk metrics (volatility, drawdown).

PythonPandasSQLLogistic Regression

Code and detailed implementation available upon request (ongoing work).

Customer Churn Risk Analytics Pipeline (IBM Telco)

Decision Intelligence

End-to-end churn prediction workflow with evaluation, thresholding, and business-ready outputs.

Built Logistic Regression churn model with engineered customer and contract features.
Focused on PR tradeoffs + threshold tuning for cost-aware retention targeting.
Packaged insights into an interactive Streamlit layer for stakeholder exploration.

Pythonscikit-learnSQLStreamlit

Implementation details available upon request.

Instacart Retail Analytics Warehouse (30M+ Records)

Data Warehouse

Scalable PostgreSQL warehouse enabling retention, reorder, and cohort analytics at large scale.

Ingested 30M+ order-item records using bulk loading + incremental batching.
Designed a dimensional model with partitions and indexing for analytical performance.
Built SQL marts powering BI dashboards (retention, reorder rate, cohort behavior).

PostgreSQLETLDimensional ModelingPower BI

Schema and query design available upon request.

Timeline

Experience

Experience framed for impact, scale, and ownership.

2025 — Present

Instructional Student Assistant (ISA) — Linear Algebra

San Diego State University • MATH 254 (≈300 students)

Lead weekly discussion sections reinforcing core linear algebra concepts and problem-solving.
Grade assignments and exams using Gradescope and Canvas, ensuring accuracy and timely feedback at scale.
Collaborate with course staff to maintain consistency and clarity across a large cohort.

Oct 2023 — Apr 2024

Junior Analyst Intern (Previously Software Developer Intern)

TechR Business Solutions

Supported reporting and operational analytics through SQL querying and structured data workflows.
Built automation and data processing scripts to improve reliability and reduce manual effort.
Delivered stakeholder-ready insights via dashboards and clear metric definitions.

May 2024 — Aug 2024

Data Science Intern

S.M. Enterprises

Performed data preparation, analysis, and modeling tasks to support business decision-making.
Created interpretable outputs and summaries for non-technical stakeholders.
Collaborated in an iterative workflow to refine features and improve analysis quality.

Academics

Education

Strong foundation in databases, modeling, and analytical methods.

San Diego State University (SDSU)

M.S. Computational Science (Data Science Emphasis) • GPA: 3.8 • 2025 — Present

Relevant coursework: Database Fundamentals, Mathematical Modeling, Computational Methods
Teaching/leadership: ISA for Linear Algebra (MATH 254)

P.E.S’s Modern College of Engineering (SPPU)

B.E. Electronics & Computer Engineering • Ranked 1st in Department • 2021 — 2025

Relevant coursework: DBMS, Data Mining & Warehousing, Data Analytics (Python), DSA, BI

Toolbox

Skills

Organized for recruiter scanning: languages, analytics, engineering, and visualization.

Languages

Python SQL

Data & Analytics

Pandas NumPy EDA Feature Engineering Model Evaluation

Data Engineering & BI

PostgreSQL ETL Dimensional Modeling Streamlit Power BI Docker (optional)

Professional Development

Certifications

Industry-recognized programs reinforcing foundations in data science, analytics, and applied programming.

IBM Data Science Specialization

Issued Jul 2024 • IBM

Data Analysis & Visualization
Machine Learning Fundamentals
Applied Data Science Projects
Python for Data Science

Credential ID: 72JEV257JJNC

Python for Everybody Specialization

Issued Jun 2024 • University of Michigan

Python Programming Foundations
Data Structures & APIs
Database Interaction (SQL)
Capstone Data Projects

Credential ID: 4PF5D7BM854B

Let’s talk

Contact

The form submits via Formspree. If it fails, it falls back to email.

Get in touch

I’m actively seeking Summer 2026 opportunities in Data Science, Analytics, and Data Engineering in the USA. If you think I’m a fit, I’d love to connect.

Email: anushakarve@gmail.com

LinkedIn: linkedin.com/in/anusha-k-057a28329

GitHub: github.com/akarve1507 (projects private)