Open to analytics & data opportunities

Good data.Clear insights.Better decisions.

I’m Suram Sudheer Reddy, a Chicago-based Computer Science graduate turning complex datasets into useful insights, thoughtful dashboards, and reliable data applications.

CHICAGO, IL   /   MS COMPUTER SCIENCE · DEPAUL UNIVERSITY
SR / ANALYTICS WORKSPACE● PROJECT SPOTLIGHT

From source to insight.

01 — 03
01 / PREPAREPython + SQL
02 / ANALYZER + scikit-learn
03 / PRESENTTableau
EXPLORING PATTERNSILLUSTRATIVE VIEW
03 selected projects2 GB+ indexing datasetsMS Data Science focus
MY WORKING TOOLKITPythonSQLTableauJavaRscikit-learn
01 / Selected work

Different problems.
One curious mindset.

Three projects exploring data at different scales: from indexing files to understanding customers.

// concurrent retrieval engine
files.stream()
  → worker_threads
  → inverted_index
  → search(query)
01 / DATA PROCESSING

A faster path
from files to answers.

A multithreaded Java file retrieval engine with inverted indexing and a command-line search workflow.

JavaMavenConcurrencyGit
Inside the project ↗
  • Used worker threads and lock-protected shared structures for indexing.
  • Processed datasets larger than 2 GB.
  • Tuned JVM memory settings for large-scale workloads.
BUSINESS METRICS / VISUAL STUDY
02 / BUSINESS INTELLIGENCE

Business metrics.
A clearer perspective.

An interactive Tableau dashboard translating structured data into business metrics, trends, and accessible summaries.

TableauSQLR
Inside the project ↗
  • Queried, cleaned, and analyzed data using SQL and R.
  • Built interactive views to track metrics and surface trend changes.
  • Presented charts and summaries for stakeholder visibility.
CUSTOMER PATTERNS / VISUAL STUDY
03 / PREDICTIVE ANALYTICS

Finding the patterns
behind behavior.

Predictive models exploring customer behavior, supported by data preparation, feature analysis, and visual storytelling.

PythonRscikit-learnTableau
Inside the project ↗
  • Built models in Python, R, and scikit-learn.
  • Prepared structured datasets for modeling and evaluation.
  • Visualized outputs and trends in Tableau.

Project visuals are illustrative, not measured results or dashboard screenshots.

02 / About me

Analytical by nature.
Engineer by training.

I graduated from DePaul University with a Master of Science in Computer Science and a concentration in Data Science.

My experience spans transportation operations, machine learning, and software projects. I enjoy the entire journey: preparing data, asking useful questions, building systems, and making findings understandable.

More on LinkedIn ↗

01 — LANGUAGES

PythonSQLJavaR

02 — ANALYTICS & MODELING

PandasNumPyscikit-learnMatplotlibTableauJupyterExploratory analysis

03 — ENGINEERING & TOOLS

MySQLMavenGitLinux / UbuntuMultithreadingData preparationCommand-line apps
03 / The journey

A foundation
built through doing.

Practical experience in operations and machine learning, backed by a computer science education.

Transportation Specialist

Amazon Development Centre

  • Analyzed transportation and exception data to identify patterns affecting shipping performance and efficiency.
  • Worked across teams on process improvements and data-driven logistics solutions.
  • Tracked performance metrics and recommended workflow or automation changes for network exceptions.

Machine Learning Intern

Indian Servers · Vijayawada

  • Built and optimized models with Python-based workflows.
  • Explored trends, feature relationships, and data quality issues.
  • Supported senior engineers with model implementation and deployment for real-time use cases.
DEPAUL UNIVERSITY · CHICAGO, IL / NOV 2025

MS in Computer Science

Concentration in Data Science

VAAGDEVI COLLEGE OF ENGINEERING / 2022

BTech in Computer Science

Undergraduate foundation in computer science

04 / What’s next

Let’s put data
to good use.

Open to Analytics Engineer, Data Analyst, and junior Data Engineer roles.