Omar Kamal Hosney
Data Scientist
San Jose, CA, USA
ad1j6g@r.postjobfree.com 510-***-****
omkamal
omarebnelkhattab-hosney-9a931b3
As a proficient data scientist, my focus in the last 6+ years has been on machine learning and deep learning, enhancing capabilities at Tribal Credit, Mentor Graphics, and IBM. Skilled in AI-driven underwriting, algorithm development, data analytics, and software testing, I hold a Bachelor's in Electronics Engineering and an MBA. My expertise in Python, large language models, and statistical analysis equips me to drive innovative, data-driven solutions in various sectors.
I was pivotal in the success of Tribal Credit, a startup where I co-developed algorithms with the CEO, driving revenue generation and fundraising, leading to a successful Series B. My work led to major deals with VCs and banks, notably Silicon Valley Bank.
At companies like TA Telecom and Reveel, I established multiple data science teams, leading Sales, Revenue Growth, Public Relation, and Engineering teams to implement data-driven decision-making across various business aspects, such as testing marketing campaign effectiveness and optimizing customer approach strategies.
I pioneered the integration of large language models in internal and customer-facing projects at several companies, significantly enhancing productivity and customer retention.
Recognized as the go-to expert in machine learning, deep learning, statistics, and data science at several companies, I was a fast tracker in achieving remarkable success in coaching junior machine learning engineers. Chief Data Scientist and founding team member at Tribal Credit 2017-10-15 to Present San Francisco
Tribal Credit is a fintech solution for startups and SMEs, offering specialized credit products and a platform to manage business expenses efficiently.
As a founding team member, I used my analytical skills, deep learning, and Python, in developing core products, scientific models, and statistical products for business and customer dynamics. Large Language Model
Machine Learning and Data Science
Chief Data Scientist and founding team member at Reveel 2015-10-15 to 2017-10-15 San Fransisco
Stealth startup based out of San Francisco, CA that focuses on analytics for any business that monetizes from subscription revenues.
Developed a patent-pending algorithm to optimize business configuration, enhancing customer retention, particularly for SaaS products.
Data Science, Machine Learning and Statistics
Chief Data Scientist at TA telecom
2014-11-15 to 2015-10-01 Cairo, Egypt
Spearheaded data analytics integration across departments, leading a data science team and applying advanced statistical methods and tools.
R
Machine Learning, Statistical Analysis and Inference SW Testing Manager at Mentor Graphics
2006-10-01 to 2014-11-01 Cairo, Egypt
Mentor Graphics was a US-based multinational corporation specializing in electronic design automation (EDA). Led software testing for D2S products, introduced Six Sigma initiatives, and managed the Silicon Software testing team, enhancing product quality.
Software Testing, Quality Management and Six Sigma Initiatives
EXECUTIVE SUMMARY
WORK EXPERIENCE
Software Engineer/Software Validation Lead at IBM
2005-09-01 to 2006-12-01 Egypt
Focused on automotive embedded software development in C, creating test harnesses, and devising test plans with hardware tools.
Embedded C Software Development and Software Validation ChatGPT-4 Diagram Generation - Open-Source -
Developed an open-source prompt set for ChatGPT-4 to generate diverse diagrams using libraries like Mermaid and D3, culminating in a published guidebook. https://a.co/d/5OSAIwl Skills acquired: chatgpt-4 mermaid d3 plantuml diagram generation open-source Child-Centric Conversational AI - Private Contract - Created a Streamlit-based child-friendly chatbot using Langchain, GPT-4, and Pinecone's vector database, ensuring age-appropriate responses and secure parental control. Skills acquired: python streamlit langchain openai gpt-4 pinecone vector database chromadb conversational ai whatsapp Cash CoPilot - Tribal Credit -
Integrated ChatGPT 3.0 with Mexico's Tax System for real-time financial insights, using API data for comprehensive cash flow and financial health analysis.
Skills acquired: llm chatgpt openai python financial analysis Document-Based Question Answering System - Tribal Credit - Developed an early ChatGPT-3 based legal query resolution system with innovative text chunking and Streamlit interface for Tribal Credit.
Skills acquired: python chatgpt-3 openai api streamlit text chunking rest apis Lead Generation Experimentation Framework - Tribal Credit - Created a novel framework for Tribal Credit's lead generation using pairwise testing, enhancing marketing strategy efficiency and resource utilization.
Skills acquired: pairwise testing design of experiments lead generation marketing strategy experimentation framework innovation Customer Spending Alert System - Tribal Credit -
Led the creation of an alert system at Tribal Credit, modernizing financial monitoring with Statistical Process Control methods and a Python package.
Skills acquired: python statistical process control financial monitoring data visualization package development Startup Scoring and Visualization System - Tribal Credit - Designed a system for scoring startups using machine learning and statistical techniques, presented through an Elastic Kibana dashboard for VCs.
Skills acquired: machine learning statistical ranking elasticsearch elastic kibana Bank Statement Parser - Tribal Credit -
Developed an advanced tool for parsing and classifying Mexican bank statements, emphasizing data security and user- friendly interface for financial analysis.
Skills acquired: python machine learning asana dynamodb Startup-VC Matching Algorithm - Tribal Credit -
Pioneered a matching system at Tribal Credit using word embeddings and cosine similarity to align startups with VCs' investment portfolios.
Skills acquired: python aws aurora aws lambda and api gateway aws dynamodb word embeddings serverless architecture Inception Score - Tribal Credit -
PROJECTS
Collaborated on a machine learning algorithm at Tribal Credit to rank startups for VCs, combining Monte-Carlo simulation with advanced algorithms.
Skills acquired: r machine learning monte-carlo simulation xgboost glm random forests Master Master of Business Administration at City University of Seattle Diploma (pre-masters) Computer Networking, and Software Programming at Information Technology Institute Bachelor Electrical and Electronics Engineering at Cairo University Coursera
Machine Learning With Big Data
Hadoop Platform and Application Framework
Data Science Specialization, Johns Hopkins
Social Network Analysis
Udacity
Natural Language Processing Nanodegree
The Deep Learning Nanodegree
Systonomy
Software and IT Six Sigma Black Belt
American Society for Quality
Certified Quality Manager
Statistical Analysis
advanced
hypothesis testing
non-parametric statistics
multivariate statistics
time series analysis
experimental design
Data Science
master
associative analysis
network analysis
natural language processing
analytical hierarchy process
a/b testing
Machine Learning
advanced
scikit-learn deep learning
svm clustering xgboost
random forests lasson & ridge
catboost feature engineering
ensemble methods pytorch
Generative AI / LLM
advanced
openai langchain
anthropic bert gpt2
llama-index
Python Programming
master
python pandas & numpy
scikit-learn fastapi
seaborn network-x arules
matplotlib
Dashboarding
advanced
streamlit tableau
elastic kibana gradio
looker
Data warehousing
beginner
etl processes apache airflow
redis snowflake
databases (sql, nosql) kafka
DevOps and IDE
intermediate
(ci/cd) docker
kubernetes git
elastic stack jupyter notebooks
mlflow
Amazon Web Services
(AWS)
intermediate
ec2 lambda rds
boto3 dynamodb s3
sagemaker notebooks
Other Programming
languages
intermediate
r sql c, c++
Diagrams as Code: Exploring Mermaid, PlantUML, D2 and Generating Diagrams using AI LLMs
in Amazon
https://a.co/d/
5OSAIwl
EDUCATION
COURSES
SKILLS
PUBLICATIONS