Resume
Shahin Taghikhani
Applied Scientist III, Amazon DSP
Applied Machine Learning Scientist with a track record of taking products from 0→1 fast by turning vague business problems into concrete math, code, and shipped systems. I specialize in large-scale adtech, combining control systems, machine learning, and system identification, with hands-on experience building truncated Fourier series models for seasonality, multi-agent troubleshooting frameworks, real-time throttling, and deal allocation models. Persistent and execution-focused, I iterate quickly with stakeholders and harden successful ideas into reliable, high-throughput, revenue-driving production services.
Career
Experience
Amazon Demand Side Platform (ADSP)
Applied Scientist III
New York, NY
Sep 2022 – Present
- Designed RADAR, a multi-agent troubleshooting framework trained on historical tickets to diagnose cross-stack DSP issues, reducing resolution time by 20% and improving reliability during peak events.
- Built a seasonality compensator using truncated Fourier series to optimize bidding and allocation with high interpretability, shrinking model size 6x and cutting CPA by 4-6%.
- Delivered a Model Control Monitoring Tool with minute-level observability across 15-20M TPS RTB traffic, driving $4M Prime Day revenue uplift.
- Created Swift Throttler bid blocker with cached inference under 10 ms, cutting wasted bids, trimming infra cost by roughly $1M, and improving win rates by about 5%.
- Developed a PMP vs OA deals model (MLP + PID control) with cached gamma CDF inference (~15 ms) shipped through SageMaker pipelines and Lambda for rapid iteration.
Aetna / CVS Health
Senior Data Scientist
New York, NY
Sep 2019 – Sep 2022
- Led DashForce experiment measurement and monitoring framework (5 people) using bootstrapping/CUPED and causal inference; estimated $5M annual savings.
- Built a multi-armed bandit subject line optimizer that increased open rates by 11 percentage points.
- Shipped WoundDetection computer vision web app MVP with estimated $7M medical cost savings.
- Led depression detection campaign using deep learning and NLP on call transcripts and claims data, saving $4M over a 6-month pilot.
- Drove readmission avoidance analytics reducing 600+ readmissions (about $8M in savings).
- Created LocalExpert location recommender increasing targeted members 10%, behavior change 2%, and ~$6.4M in revenue.
Data Intelligence Lab, East Carolina University
Research Assistant
Greenville, NC
Aug 2017 – Sep 2019
- Built YourPersonality ensemble web application on social media data, outperforming prior results by 2.7%.
- Conducted applied research across NLP and computer vision with a focus on scalable, privacy-aware modeling.
BulletProof.com
Data Analyst
Seattle, WA
May 2018 – Aug 2018
- Developed an end-to-end material requirement planning system that reduced out-of-stock issues, saved about $100K, and lifted attributed sales by 2.8%.
- Built real-time warehouse and transportation KPI dashboards improving efficiency by 35%.
- Led inventory discrepancy root-cause analysis, improving accuracy by 15% in two months.
THINKCO.ir / Shopit
Founder / Product Supervisor
Tehran, Iran
Aug 2016 – Aug 2017
- Ran SEM/SEO programs for 25+ small businesses, improving conversion rates by roughly 35%.
- Implemented market segmentation and A/B testing that cut CPC by 30% and boosted acquisition by 15%.
- Raised $50K seed funding for Shopit, optimized UI via statistical analysis, and built marketing analytics products.
Takhfifan.com
Sales and Marketing Analytics Supervisor
Tehran, Iran
Jan 2016 – Aug 2016
- Deployed an unsupervised customer segmentation framework, growing B2B accounts by 30% and adding $100K quarterly revenue.
- Ran marketing experiments across email, UI, and creative to increase conversion and open rates.
- Led competitive analysis and omnichannel campaign planning to improve pricing, positioning, and placement.
Foundations
Education
The Data Incubator, NYC
Data Scientist Fellowship
Apr 2019 – May 2019
- Awarded fellowship
East Carolina University, NC
Master of Science, Software Engineering
Aug 2017 – May 2019
- GPA 4.0
- Awarded full scholarship
University of Tehran, Iran
Bachelor of Science, Industrial Engineering / Operations Research
Aug 2008 – May 2013
Builds
Projects
Deal Score Ranking Overhaul
Replaced PMP waterfall ranking with win-rate-based Deal Score models to maximize advertiser surplus across PD, PA, and OA bids while enabling multi-bidding and smarter bid shading.
RADAR Troubleshooting Framework
Multi-agent system coordinating specialized models to diagnose ad stack tickets and recommend mitigations.
WoundDetection Web Application
VisitComputer vision MVP to detect skin conditions and track member progress with estimated $7M annual savings.
YourPersonality Web Application
VisitEnsemble personality prediction using social media signals; beat prior benchmarks by 2.7%.
LocalExpert Location Recommender
Unsupervised learning engine recommending optimal sites of care, improving targeting and conversion.