Vamsi Krishna Chirumalla

Technical Expertise

Data Science & ML

Python • Pandas • NumPy • Scikit-learn • Statistical Analysis • EDA • Feature Engineering • PCA

Deep Learning

TensorFlow • Keras • PyTorch • CNN • LSTM • RNN • Autoencoders • Transformers • BERT

NLP & Text

NLTK • spaCy • TextBlob • VADER • TF-IDF • Sentiment Analysis • POS Tagging • NER

BI & Visualization

Power BI • Tableau • Matplotlib • Seaborn • Excel • Plotly • Dashboard Design • DAX

Databases & SQL

Oracle • SQL Server • PostgreSQL • SQLite • MongoDB • Advanced SQL • ER Modeling

Big Data & Cloud

PySpark • Apache Kafka • AWS • Azure • Google Cloud • ETL/ELT • Data Warehouses

Network & Graph

NetworkX • Graph Analytics • PageRank • Community Detection • Link Prediction

Security & Infrastructure

SSL/TLS • IPsec • SSH • Cisco Packet Tracer • IoT Security • Zero Trust Architecture

Professional Journey

Teaching & Academic Leadership

Graduate Teaching Assistant

Florida Atlantic University

2 Years (During Master's)

Selected TA for graduate-level Data Science & Analytics courses. Provided mentoring, guidance, and support to students.

Mentored 60+ graduate students per semester across Python, SQL, ML, NLP, Big Data
Developed supplementary course materials, tutorials, and lab exercises
Provided one-on-one guidance on student projects and research
Graded assignments and provided constructive feedback
Contributed to curriculum development based on industry trends

Industry Experience

Senior Data Analyst

Regions Bank

Jan 2026 – Present

Leading U.S. financial institution. Developing dashboards, identifying trends, delivering data-driven insights.

Developed complex SQL solutions across Snowflake, BigQuery, Redshift
Performed advanced data analysis using Python (Pandas, NumPy, Scikit-learn)
Designed executive dashboards using Power BI, Tableau, Looker
Built and automated ETL/ELT pipelines using Alteryx, dbt, Python
Leveraged Generative AI tools for automated reporting and productivity

Data Analyst

Elevance Health

Feb 2025 – Dec 2025

Healthcare organization. Developed reports, analyzed healthcare data, delivered insights.

Analyzed healthcare datasets using SQL and Python for trend identification
Developed interactive dashboards using Power BI, Tableau, Looker Studio
Optimized complex queries across SQL Server, PostgreSQL, Snowflake, BigQuery
Built and managed ETL pipelines using AWS, GCP, Databricks
Performed A/B testing, statistical analysis, forecasting, predictive analytics

Data Analyst

Cognizant

Mar 2022 – Dec 2023

Global IT services. Analyzed datasets, built reports, provided actionable insights.

Utilized SQL and Python to extract, cleanse, and analyze large datasets
Developed interactive dashboards using Power BI, Tableau, Looker
Performed data validation, root cause analysis, forecasting, statistical modeling
Built and maintained ETL workflows using Alteryx, SQL, Snowflake, AWS, BigQuery
Collaborated with cross-functional teams to automate reporting

Programmer Analyst

Piramal Pharma Limited

Jan 2021 – Feb 2022

Global pharmaceutical company. Designed applications, optimized performance.

Analyzed insurance, claims, and customer data using SQL and Python
Designed executive dashboards using Power BI, Tableau, Looker Studio
Extracted, validated, and transformed data using SQL, Alteryx, Snowflake, AWS
Conducted ad-hoc analysis and statistical evaluations using Scikit-learn

Featured Projects

Data Engineering

E-Commerce Sales Analytics

End-to-end ETL pipeline processing 12,000+ records. Built 7 analytical datasets with 12 advanced SQL queries. Engineered 30+ business metrics and customer segmentation strategy.

Python SQL Pandas ETL

View Repository →

Machine Learning

Customer Churn Prediction

Random Forest ML model achieving 92% accuracy on 10,000 customer profiles. Engineered 28 advanced features with actionable retention strategies based on risk segmentation.

Scikit-learn Random Forest ML Feature Eng.

View Repository →

Healthcare Analytics

Healthcare Claims Analytics

Interactive Streamlit dashboard processing 50,000+ healthcare claims. Developed 12 advanced SQL queries analyzing denial patterns. Implemented $150M+ claims tracking system.

Streamlit Plotly SQL Healthcare

View Repository →

Academic Projects & Coursework

Data Science & Machine Learning

Exploratory Data Analysis: Penguins Dataset — Handled missing values, created visualizations, computed covariance matrices, calculated feature correlations
Dimensionality Reduction: PCA & Kernel PCA — Implemented from scratch with RBF, Polynomial, Linear kernels; validated against scikit-learn
Clustering Analysis: K-Means, Kernel K-Means, EM/GMM, Spectral Clustering on heart failure dataset; identified patient subgroups correlated with mortality
Regression Modeling: Manual Multiple & Ridge Regression with MSE benchmarking against scikit-learn (R² ≈ 0.84)
Classifier Comparison: Naive Bayes, SVM, KNN, LDA on activity-recognition data

Deep Learning

BERT Fine-tuning: Fine-tuned BERT on PubMed 20k RCT for biomedical abstract classification; achieved 64.60% accuracy
Image Classification: Dog vs Cat CNN classifier (1,000 images, 10-fold CV) — 100% Mean Accuracy; compared architectures with/without Batch Normalization
Autoencoders: Built autoencoders for feature extraction; Embedding → LSTM pipeline for NLP classification
Time-Series Modeling: EOF-PCA → LSTM in TensorFlow/Keras for temporal data
Architecture Deep-Dive: Derived backpropagation through 4-node network; analyzed LeNet-5, VGG-16, GoogLeNet, ResNet from first principles

Natural Language Processing

NLP Pipelines: Built end-to-end pipelines for TF-IDF retrieval, POS tagging, Named Entity Recognition (NER)
Sentiment Analysis: Benchmarked TextBlob vs VADER on 2,000 movie reviews
Embeddings & Architectures: Studied Word2Vec/GloVe embeddings, RNN/LSTM/Transformer architectures, transfer learning with BERT/GPT
LLM Research: Evaluation study on Transformer self-attention, pretraining, beam search; co-delivered presentation on ML & DL for NLP

Information Retrieval & Computer Vision

Document Retrieval: Built TF-IDF + cosine similarity retrieval pipeline
Text Categorization: Weka implementation (StringToWordVector + Naive Bayes)
Image Classification: Content-based classification with pre-trained MobileNet CNN (97% confidence)

Social Networks & Big Data Analytics

Graph Analytics: Twitter retweet analysis (PageRank, centrality metrics); community detection on 1,005-node email networks
Link Prediction: CollegeMsg network link prediction (86.9% accuracy, 92.9% precision via Logistic Regression)
PySpark at Scale: Spotify artists (156K+ records) — K-Means clustering, MLlib regression, PageRank analysis
Tweet Analysis: 28,823 tweets — toxicity EDA, Spark SQL analysis
Real-Time Pipeline: Kafka + Spark + MLP for suicidal ideation detection

Cloud Computing & Infrastructure

AWS Cost Management: Researched Cost Explorer, Budgets, Cost Anomaly Detection, Trusted Advisor
Azure Stack Hybrid Cloud: Presented hybrid-cloud architectures with healthcare deployment case study
PaaS & End-to-End Pipeline: Google App Engine auto-scaling; built Power BI + Azure Data Factory → Azure SQL reporting

Data Security & Network

IoT Security: Researched IoT vulnerabilities and defenses (TLS, ML-based intrusion detection, blockchain/edge)
Network Security: Analyzed SSL/TLS, IPsec, SSH protocols; simulated scenarios in Cisco Packet Tracer
Post-Quantum & Zero Trust: Evaluated post-quantum encryption standards and Zero Trust architecture

Education & Qualifications

Master of Science in Data Science & Business Analytics

Florida Atlantic University — Boca Raton, Florida, USA

Jan 2024 – Dec 2025

CGPA: 3.7 / 4.0

Coursework: Data Science Tools, Machine Learning, Deep Learning, NLP, Cloud Computing, Big Data Analytics, Database Systems, Information Retrieval, Data Security

B.Tech in Electrical Engineering

R.V.R & J.C College of Engineering — Guntur, India

May 2019 – Mar 2022

GPA: 8.39 / 10.0

Diploma in Electrical & Electronics Engineering

Gudlavalleru Polytechnic College — Gudiwada, India

May 2016 – Apr 2019

Score: 88.28%

Professional Certifications

Microsoft Certified Power BI Data Analyst Associate

Tableau Desktop Specialist Certification

AWS Certified Cloud Practitioner

Technical Expertise

Data Science & ML

Deep Learning

NLP & Text

BI & Visualization

Databases & SQL

Big Data & Cloud

Network & Graph

Security & Infrastructure

Professional Journey

Teaching & Academic Leadership

Graduate Teaching Assistant

Industry Experience

Senior Data Analyst

Data Analyst

Data Analyst

Programmer Analyst

Featured Projects

Academic Projects & Coursework

Data Science & Machine Learning

Deep Learning

Natural Language Processing

Information Retrieval & Computer Vision

Social Networks & Big Data Analytics

Cloud Computing & Infrastructure

Data Security & Network

Education & Qualifications

Master of Science in Data Science & Business Analytics

B.Tech in Electrical Engineering

Diploma in Electrical & Electronics Engineering

Professional Certifications

Let's Work Together