Dual B.S. in Astrophysics & CS
Rutgers University. Society of Physics member, minor in Mathematics. The kind of person who thinks statistical mechanics was just ML before it was cool.
Data Scientist at Verizon · Open to opportunities
Astrophysicist Data Scientist Storyteller
I used to study black holes. Now I find them in datasets instead. Both are equally mysterious, and both need a concerning amount of coffee.
Machine LearningXAI FrameworksCausal InferencePython & SQLGeorgia Tech MS
- $1.2B+
- Bad-debt impact
- 73%
- Faster hypotheses
- 4+ yrs
- Data science experience
- 2×
- STEM degrees
About The person
The person
behind the models
I'm Geet. Recovering astrophysicist, Data Scientist at Verizon, lifelong sucker for a good anomaly. I started out studying black holes at Rutgers and somehow ended up hunting them in billion-dollar datasets instead. Turns out the universe is full of patterns whether you're looking at galaxies or customer churn.
I'm currently a few semesters into my Georgia Tech Master's in Computational Analytics,
hanging in there by a thread token, but still going.
Outside of work: unhealthy amounts of anime, losing LP in League of Legends, and gym sessions to offset the desk time.
PythonSQLTensorFlowGCP / BigQueryStreamlitDataRobotApache SparkDockerTableauJava
Hosted the Verizon Analytics Summit
Presented at the 2023 summit alongside executives from Verizon, Bayer, BNY Mellon, NY Life, and ThoughtSpot. No pressure.
Trained ML on mice
At the Human Genetics Institute of NJ, built DeepLabCut models for kinematic pose estimation on wet-lab video. Yes, really.
Georgia Tech MS in Computational Analytics
My honest stance on the degree: check back in 3 years to see if I actually get that 4.0.
Experience Where I've been,
Where I've been,
what I've broken built
3+ years turning data into decisions at scale.
RankSense
Jan 2021 to Oct 2021Data Science Intern
- Researched SEO optimization across 100+ client domains, running A/B tests with Bayesian methods and CausalImpact.
- Improved click-through and baseline-conversion rates by ~32%.
Human Genetics Institute of NJ
Oct 2021 to Jun 2022Data Science Intern
- Trained DeepLabCut ML models for kinematic pose estimation on wet-lab mouse video, using Python, TensorFlow, and NVIDIA CUDA.
- Statistical validation via ANOVA and T-tests, benchmarked against published findings (Jones et al. 2020).
- Sponsored 4 Oxford iMARS Python extensions for retinal-cord tissue post-microscopy analysis.
Verizon
2022 to Present Jun 2022 to Aug 2022
Predictive & Prescriptive Analytics Intern
- My first real exposure to Verizon's data infrastructure, and the internship that turned into 3+ years.
Jan 2023 to Nov 2024
Data Scientist I
- Established a centralized DS pipeline framework/API for Corporate Finance on GitLab, Domino, and GCP, making collaboration 63% more efficient.
- Built a real-time AT&T and T-Mobile port-in EDA pipeline using DataRobot to forecast competitor market-share trajectories.
- Automated serverless forecasting for 9 major value brands (Walmart, Tracfone, Straight Talk, FiOS), pioneering a 12h email-report system.
- Developed Tableau dashboards on GCP/BigQuery, eliminating 10+ hours of weekly manual reporting.
- Ran K-Means customer segmentation that surfaced 3 at-risk cohorts, which directly informed new retention campaigns.
Nov 2024 to Present
Data Scientist III
- Architected a credit-risk fullstack app that synthetically generates a customer database to monitor policy changes impacting $1.2B+ in bad-debt writeoff.
- Engineered 9 Python & SQL anomaly-detection microservices with Verizon EDW integration, saving 50+ hours/month across 15 teams.
- Led 2 ML XAI frameworks (Streamlit + Qlik), reducing hypothesis-generation time by 73% for shareholder calls.
- Built churn-forecasting models and intervention simulators (SMS, email, fee adjustments) that pushed decisioning coverage from 0% → 60%.
- Presented to 100+ stakeholders, directly influencing product roadmap and reducing future development costs.
Projects & case studies
What I've shipped
Six live demos you can play with right now, plus work projects (sanitized) and academic deep cuts.
Credit-Default Scorecard
Score an applicant
Try it live
AreYouBlinking
Speak in blinks
Try it live
Mapping the Known Universe
Fly the cosmos
Try it live
Gravitational Microlensing
Warp spacetime
Try it live
Uplift Modeling
Find the persuadables
Try it live
Significance
Design honest experiments
Try it liveMore work
Credit Risk Intelligence Platform
Fullstack app that synthetically generates customer databases to monitor credit-policy changes and their downstream impact on bad-debt writeoff. Built end-to-end (data pipeline, ML models, and a Streamlit frontend) so finance teams can simulate policy scenarios without ever touching production data.
$1.2B+ in bad debt monitored
XAI Gross-Adds Framework
Explainable-AI framework isolating the real-time drivers of Verizon Gross Adds. Cut hypothesis-generation time by 73% for shareholder calls, so no more "we think it might be..." moments.
73% faster decision-making
Churn Prediction & Intervention Engine
ML models forecasting customer churn and simulating responses to interventions (SMS, email, fee adjustments). Pushed internal decisioning coverage from 0% → 60%, cutting outsourced engagement volume by ~35%.
0 → 60% decisioning coverage
Gravitational Microlensing Sim
Academic project simulating gravitational microlensing events, the same physics that bends light around black holes. Built in Python with Jupyter. The astrophysics degree, paying dividends.
The physics behind the live demo
DeepLabCut Pose Estimation
Trained computer-vision models to track mouse joint positions in wet-lab video experiments. Kinematic data benchmarked against published neuroscience research. The weirdest and most interesting project I've worked on.
Neuroscience × Deep Learning
AniParty: Video Sync Extension
Personal project: a browser extension that syncs video playback between computers. Built in JavaScript, because watching anime with friends across the country shouldn't require a scheduling meeting.
Solving the important problems
Skills
What I'm good at
Proficiency built by shipping things, not just finishing courses.
Core Strong Working knowledge distance from the core = depth
Languages
- Python
- SQL
- R
- Scala
- Java
ML & Modeling
- scikit-learn
- XGBoost / LightGBM
- PyTorch
- TensorFlow
- Hugging Face / LLMs
Data & Cloud
- BigQuery / GCP
- Apache Spark
- Airflow
- dbt
- Docker / Kubernetes
Experimentation
- A/B Testing
- Statistics
- Causal Inference
- Looker / Tableau
- MLflow
Contact Let's talk.
Let's talk.
Seriously.
Whether it's a job opportunity, a collaboration, or you just want to argue about whether anime is peak storytelling, my inbox is open.
geetp40@gmail.com