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Data Analyst

Rose International

Part of the Operations team. Project managing data labelling operations to train LLM models.

Aston Carter

Part of the New Business Verticals team using data tools like Python, SQL, Mode, AWS S3, Google Colab, Google Sheets, Excel (Power Query) & Snowflake to organize, clean and analyze data for a faster more efficient merchant and customer experience.

dentsu

Part of the Analytics & Measurement team using data tools like Tableau, SQL, Excel, & Google Sheets to report on global performance marketing campaigns across marketing channels like Facebook Ads, Google Ads, Twitter Analytics etc.

Akorbi

Part of the Operations team where I analyzed data and identified issues within software utilizing different internal data analytics and 3D visualization tools such as Xview, Carcraft and Webviz.

COOP

In partnership with Microsoft, Oath (Yahoo!), and Salesforce, a powerful 200-hour selective Data Analytics apprenticeship for first generation college grads to expand hard and soft skills in data.

Delta Analytics

Seattle Against Slavery now called 'The Lantern Project' aims to end sexual exploitation in our communities by changing culture through prevention, intervention, and transformation.

As a Consultant at The Lantern Project, I built Tableau Dashboards to analyze and visualize Microsoft's Freedom Signal Platform's product outreach, effectiveness and response rates using data queried from MongoDB and PostgreSQL.

Nielsen

●	Optimized strategy & growth by monitoring 10+ KPIs to measure success; reported 3 solutions to Sr managers
●	Supported Sr managers in implementing a new reporting platform by developing 2 analytics dashboards using Tableau
●	Tested the impact of a new solution on key metrics & measured potential value by analyzing data on G-Sheets

Coca-Cola CCI

●	Increased customer engagement for Coca-Cola through major product marketing initiatives e.g., ‘Reels-on-Wheels’ 
●	Optimized sales distribution by investigating sales data of 4800+ outlets on SQL & Excel (vlookup & pivot tables)
●	Increased marketing channel effectiveness by analyzing customer behavior & preferences data using Excel

FlatRock Associates

FlatRock is an early & growth stage private investment firm which is not backed by any LPs and that makes it easier to invest in & advise companies and funds.

●	Increased ROI for clients by ~0.5% by advising on investment strategies through 15+ data-driven Tableau reports
●	Reduced research time for investors by 14% through 30+ reports on global outlook by analyzing data in SQL/Excel
●	Trained 2 interns on report writing & global macroeconomic analyses to help executives focus on client relations

Email: alihaidersoni62@gmail.com

I’ve always seen data as a way to sharpen our understanding of the world, and each step in my career has proven that true. Early on, I learned how even a few thousand rows of numbers could uncover hidden efficiencies, reveal subtle market opportunities, and spur strategic growth. Back then, it was just me, a spreadsheet, and a determination to separate meaningful trends from the noise.

As I evolved, so did the scale and complexity of my work. I handled 50+ analytics requests weekly, managed teams to produce client-facing reports in record time, and turned month-long projects into single-week sprints. I streamlined processes, automated repetitive tasks, and cut through redundancies to save entire teams hours of manual effort. My mission? Make data easier to grasp and faster to act on.

I found that data can do more than measure outcomes—it can guide decisions. By collaborating with product, engineering, and marketing teams, I ensured everyone could use insights without needing a crash course in SQL or Python. It wasn’t just about the numbers; it was about telling a story that influenced everything from marketing spend to product improvements. I helped refine KPIs, elevate user experiences, and boost campaign performance—all by looking at the world through a data-driven lens.

At the heart of my work is a belief that data should empower people. I’ve mentored new analysts, showing them how to transform tables into tangible strategies. I’ve built dashboards that cut through complexity, turning thousands of metrics into intuitive visuals that leaders can act on. Over time, I’ve honed a simple yet powerful formula: combine technical skills with creative thinking and clear communication, and you’ll drive meaningful change.

If you need someone who can dive into complex datasets, orchestrate high-impact initiatives, and translate insights into compelling calls to action, I’m ready. Let’s talk about how I can help illuminate the path ahead—one dataset, one insight, one decision at a time. Feel free to send me a DM or an email, and let’s explore how data can become your strategic advantage.

Email: alihaidersoni62@gmail.com

Ali Haider Soni

Ethan Nelson

Stukent

• Spearheading the design and implementation of end-to-end machine learning pipelines and ML life cycle, resulting in 5 model endpoints served to over 40,000 users. 

• Architect automated workflows for the training, evaluation and deployment of machine learning models in production Databricks environments through use of MLflow and pyspark. 

• Developing and fine-tune NLP algorithms in PyTorch, including LSTMs and transformers, implementing a real-time alert system for engineering teams on bug-related issues within the platform. 

• Integrate large language model (LLM) to interpret student performance data dynamically, enhancing learning outcomes through adaptive model responses. 

• Leading team for company research initiative. Originally conducted research and proposed ten machine learning methods to enhance platform functionality, resulting in building prototypes for two projects.

Software Engineer, Machine Learning

Stealth Startup

• Used LLMs and ChatGPT to improve communication between companies and customers by creating and deploying custom RAG pipelines based on web scraped customer data. 

• Deployed APIs in Microsoft Azure via docker + Kubernetes.

• Reached out to 75+ users to research pain points to better understand impact in product development.

Co-Founder (ML Engineer)

iProspect

• Led efforts in automation of data delivery by architecting new ETL pipeline logic and managing a team of data engineers. New pipeline increased efficiency in runtime over legacy application by ~250%.

• Addressed ad-hoc requests with a strong command of Python, SQL, and data transformations, revamping dashboards to enhance visibility of key performance indicators (KPIs) and streamline reporting processes.

• Built scripts to transform and join data to help case study dealing with 50% unattributed data points.

Senior Data Analyst | Data Science & Analytics Team

ARCTEC Solutions

• Developed automation scripts for remote software installation, reducing manual setup time by 50% and enhancing operational efficiency for government clients.

• Enhanced optimization in a signal intelligence device to reduce latency in packet transmission to external applications, improving data communication and processing capabilities.

Software Engineer

Snow Data Science

Data Science Intern

Research and Business Development Center

• Checked quality of 80,000+ image dataset to assist in data pre-processing
• Assisted in training new annotators and creating training documents
• Lead team meetings

Data Reviewer

• Conducted research under a Machine Learning Engineer in order to increase working knowledge on machine learning algorithms specifically dealing with Neural Networks
• Contributing to 80,000+ image data set to train machine learning algorithm in recognizing product details

Data Annotator

Worked for RBDC to assist Lineage Logistics in point cloud classification project.
• Studied new algorithms pertaining to point cloud classification.
• Built neural network with Point Net and TensorFlow to classify point cloud data to help achieve a fully automated warehouse.
• Correctly applied algorithms to guess point cloud data.

Machine Learning Consultant

Brigham Young University - Idaho

• Followed and modified set plans to maximize efficiency in project execution by 100%
• Learned new skills pertaining to carpentry by listening and application
• Major remodels including changing 1000+ doors campus wide, maintenance of ceiling and construction of shelving units

Carpenter

Dynamic and versatile machine learning engineer with a background in designing, implementing, and deploying AI solutions. Leadership experience in leading machine learning and data operations initiatives, with technical experience in natural language processing/deep learning, model deployment, and all aspects of the AI lifecycle.

I am passionate about developing AI to help people.

Co-Founder AI/ML/CV

Working on 2 startups!

1. Computer vision, ML and NN to solve problems in the manufacturing environment.

2. Chat GPT, LLM, and NLP to solve communication issues in companies.

taplio

The Battle

Ali Haider Soni

Ethan Nelson

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