Shreya Kolte

Data Analyst · Bringing Data to Life Through Insightful Stories

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Shreya Kolte

About Me

Recently graduated Data Analyst with M.S. in Data Science from the University of Arizona. Skilled in Python, SQL, Excel, and R, I apply these tools to solve real-world problems and build machine learning models that inform strategy. I'm passionate about transforming complex data into clear, intuitive dashboards that drive smarter decisions. With Tableau and Power BI, I make insights accessible and actionable for organizations ready to harness the power of their data.

Data Analysis

Transforming complex datasets into clear, actionable insights that drive business decisions and strategy.

Machine Learning

Building predictive models to uncover patterns and support data-driven decision-making.

Data Visualization

Creating compelling visual narratives that make complex data understandable at a glance.

Languages and Data Tools

Python

(Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, SQLite3)

Database

MySQL, PostgreSQL, SQL Server, SQLite, NoSQL (MongoDB)

Excel

Pivot Tables, VLOOKUP, Charts

R

dplyr, ggplot2, caret, tidyr, terra

Data Analytics and BI Tools

Tableau

Tableau

Interactive dashboards, KPI tracking, data exploration, advanced calculations, and compelling visual storytelling.

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Power BI

Power BI

KPI tracking, interactive dashboards, data exploration, DAX calculations and actionable business insights.

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Projects

Retail Inventory Forecasting

Designed an inventory tracking system and Power BI dashboard that enabled executives to identify top-selling SKUs with 100% accuracy and make faster, data-driven decisions.

Code

US Trade & ETF Market Analysis

Forecasted U.S. trade & ETF trends using Random Forest (↑ accuracy 18%) and automated monthly analysis with SQLite & Tableau (↓ manual effort 40%).

Code

EV Charging Trends and Predictions

Analyzed 100K+ EV charging records to identify key pricing drivers, improving model accuracy by 15%. Built regression and SVM models with strategies to cut analysis time by 30%.

Code

Hospital Management System

Built a normalized hospital database with SQL DDL/DML, ER diagrams, and structured documentation to manage patient and billing data.

Code

Global Terrorism Analysis and Forecasting

Enhanced terrorism trend forecasting using ARIMA, improving accuracy by 15% and reducing prediction error by 23% through advanced time series optimization.

Code

Brainstroke Prediction

Predicted brain stroke risk with 95.05% accuracy by analyzing age, glucose, and hypertension using Logistic Regression and KNN to identify key medical risk factors.

Code

Experience

Data Analyst Intern Associate | SportsID Inc, Remote

Jul 2025 – Present

  • Analyzed user engagement and campaign performance data using Excel and Google Analytics, uncovering trends that boosted content strategy effectiveness and improved click-through rates by 20%.
  • Designed and maintained Power BI dashboards in collaboration with cross-functional teams via Asana and Slack; expanded coverage from 3 to 8 KPIs and shortened reporting cycles by 35%, providing leadership with real-time insights.

Data Analyst Intern | University of Arizona

Jan 2025 – May 2025

  • Processed over 100,000 LiDAR points in R to calculate ecological metrics, streamlining field data collection by 40%.
  • Created geospatial visualizations and interactive dashboards using R and QGIS for research presentations.
  • Automated data cleaning and transformation tasks in R, reducing weekly manual work from 8 hours to 30 minutes.

Teaching Assistant | University of Arizona

Aug 2024 – Dec 2024

  • Led lab sessions and provided individual support to enhance student understanding.
  • Assisted with grading assignments and exams to maintain consistent evaluation.
  • Held office hours to answer questions and support student learning.

Education

M.S. in Data Science | University of Arizona

Aug 2023 – May 2025

GPA: 3.67 / 4

Courses: Machine Learning (Statistical & Predictive Modeling), Data Mining (Data wrangling, Data integration), Data Analysis, Data Visualization, SQL and NOSQL Database Management, Data Ethics, R, Natural Language Processing (NLP).

B.Sc in Computer Science | Savitribai Phule Pune University

Aug 2020 – May 2023

GPA: 3.65 / 4

Python, SQL, Statistics, Introduction to Data Analysis, Data Science Foundation, Machine Learning Overview, Java, Mathematics (Linear Algebra, Numerical Analysis, Operations Research), Operating Systems.

Links & Resources

Email

shreyakolte112@gmail.com

LinkedIn

linkedin.com/in/shreyakolte2002

Phone

+1 (520) 599-6970

Location

Tucson, Arizona, USA

GitHub

github.com/shreyakolte

Resume

View my latest resume