Summary
Overview
Work History
Education
Skills
Hobbies and Interests
Timeline
Generic

Djameno Ntowe-Fankam

San Francisco

Summary

Accomplished programmer and data scientist with 5+ years experience building various scripts, visualizations, and presentations that advanced productivity at both the technological and practical level. Seeking a role that can leverage my diverse, collaborative experiences in data analytics, machine learning, & AI to continue to shape the next generation of technology based solutions.

Overview

7
7
years of professional experience

Work History

Senior Data Scientist

Direct TV
02.2025 - Current
  • Worked with internal business partners to deliver predictive and retroactive dashboards that statistically quantified the results and opportunities that minimized churn by 10%
  • Built a Causal Inference model that built an assessment on the impact of push notifications. Leading to a 30% increase in targeted push campaigns based on regional live events
  • Built a A/B test model that assessed the impact of newsletters on targeted channel tune-in rate and proved their statistical significance. Resulting in further research into historical show based targeting
  • Created snowflake data-tables for others to have specific access to coordinated data pulls

Data Scientist

Skai
11.2020 - 01.2025
  • Optimized and paired $10M in spend across Publishers (Google, Bing, Amazon) through my development of a filtration and matching algorithm. Script built was used to confirm and modify campaigns across 1000s of clients
  • Utilized a natural language programming cluster based model to develop a web-application that was distributed across 15% of our platinum clients where they could personally onboard keywords based on their performed keyword level KPIs (Revenue, ROI, Profit). Keywords were added based on client and client success team recommendations.
  • Increased client-defined custom revenue performance by 22% through the creation of a new A/B test experiment structure that transposed encrypted data across Publishers. Worked with internal and external teams to come to a consensus in target as well as expectations
  • Confirmed there was a 30% lift in client-selected KPI (Revenue, Spend, ROI) by building a causal inference regression model utilizing a mixture of Pre-Post and A/B test structure
  • Calculated that there was a 20% improvement in ROI by removing low-performing search queries by building a causal model. This was structured collaborating with Engineers internationally.
  • Oversaw $100K in ad spend on the impact of alternative headlines and determined there was a 13% increase in CTR in dynamic headlines as compared to static ones. Reported results to senior directors in a private meeting.

Junior Data Scientist

Fareportal
06.2018 - 03.2020
  • Built and developed a Propensity to Exit Machine Learning model in PySpark that assessed the likelihood that a user would exit cheapoair.com on the next click, increasing long term retention-rate by 12%
  • Created a means of categorizing users on their susceptibility to price fluctuation in PySpark. This enabled a system in which Fareportal could automatically group users on their likelihood to price variation and then assess which ones to send discounts to improve their possibility of booking tickets. Increasing ticket sales without losing out on revenue from users likely to book regardless. Optimizing profit by 15%
  • Wrote a script that automates the storage and deployment of the active company models in bash. Thus, eliminated the need for someone to manually modify the contents of various files as new models got added to the data pipeline, improving time needed to deploy new models.
  • Frequently met with internal teams (Mobile & PC) on smaller scripting and automation tasks to improve their workflow by a factor of 30%.

Education

BS - Statistics & Machine Learning

Carnegie Mellon University
Pittsburgh, PA

Skills

  • PROGRAMMING: Python, SAS, SQL, R, Java, C, MATLAB, AWS, Typescript, Pyspark, Spark, Tableau
  • TECHNICAL EXPERIENCE: NLP, Optimization, Forecasting, Docker, Deep Learning, Clustering, Generative AI, ETL
  • STATISTICAL EXPERIENCE: Hypothesis Testing, A/B Testing, Pre-Post Testing, Causal Inference, Data Analysis, Data Visualization, Statistical Modeling, Validation
  • SOFT SKILLS: Communication, Marketing, Problem Solving, Critical Thinking, Collaboration, Research, Curiosity
  • SECTOR APPLICATION: E-commerce, Sports (Football, Wrestling, Lacrosse, Basketball, Baseball, Cross-Country), Product Analytics, Airline Industry

Hobbies and Interests

Sabermetrics, strategy games, puzzle solving, reading, marathon running

Timeline

Senior Data Scientist

Direct TV
02.2025 - Current

Data Scientist

Skai
11.2020 - 01.2025

Junior Data Scientist

Fareportal
06.2018 - 03.2020

BS - Statistics & Machine Learning

Carnegie Mellon University

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Djameno Ntowe-Fankam