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> boot("Shashank_Cheppala")

Neural Data Lab

End‑to‑end data systems: ingestion → features → models → decisions. Current obsessions: misinformation detection, deepfake forensics, sentiment‑driven pricing.

Launch Projects Resume
PythonSQLTensorFlowTransformersSparkHadoopTableauPower BIDockerGit PythonSQLTensorFlowTransformersSparkHadoopTableauPower BIDockerGit

About

Graduate Data Analytics student at University of Illinois Springfield with a CS foundation. I deliver analyses that change decisions: rigorous stats, clean ML, and readable visuals.

Tooling across ingestion → modeling → deployment. Recent work: sentiment‑driven pricing, deepfake detection, and fake‑news evolution modeling.

Open to Data Analyst / ML Intern roles.

Education

  • University of Illinois Springfield
    M.S. Data Analytics • Jan 2024 – Present • GPA ~3.8–3.95
  • TKR Engineering College
    B.Tech in Computer Science • 2019 – 2023 • GPA 3.3

Skills

Languages

PythonExpert
SQLAdvanced
RProficient

Frameworks & Tools

TensorFlowKerasTransformersscikit‑learnSparkHadoopDockerTableauPower BIGit/GitHub

Experience

Survey Data Analyst

BallotNow • Hyderabad, Telangana • Sep 2023 – Dec 2023

  • Coordinated survey schedules & field ops during election cycles.
  • Analyzed response data; delivered reports to election officials.
  • Ran outreach to lift participation and data quality.

Data Analyst Intern

Greenfoods Pvt Ltd • Hyderabad • Apr 2023 – Sep 2023

  • Streamlined ingestion & automated analysis routines.
  • EDA to surface trends and opportunities; validated datasets.
  • Delivered client‑facing summaries and visuals.

Projects

Fake News Detection Using LLMs & DL

Co‑evolution prediction on synthetic articles using linguistic features, GloVe Bi‑LSTM, DistilBERT + back‑translation augmentation.

Python • TensorFlow • Transformers • scikit‑learn

Code Paper

Deepfake Video Detection (Hybrid)

Two‑stream: EfficientNetB0 visual pipeline + FER emotion vectors with custom focal loss; VideoMAE baseline.

Python • TensorFlow • OpenCV • PyTorch

Code

House Price Prediction

Model comparison & calibration for generalization across location/size/amenities.

Python • scikit‑learn • pandas

Code

Publications

A Comprehensive Approach to Sentiment‑Based Dynamic Pricing

Real‑time pricing adjustments using sentiment analysis with attention to fairness.

Read

Behavior‑Based Incentivization & Predictive Analytics

Machine learning for incentive design with synthetic datasets and model comparisons.

Read

Honors & Volunteering

Excellence in Event Leadership

Recognized for organizing and leading technical events.

May 2023

Sports Achievement Award

Outstanding performance in university sports.

May 2023

Event Coordinator — Friends2Support

Trained 3000+ students via online/offline sessions.

2020 – 2023

Contact

Open for collaborations and opportunities.

  • notedevelopment@gmail.com
  • linkedin.com/in/shashank-cheppala
  • github.com/shashank-cheppala
  • Illinois, USA
Email Resume