Wallaroo.AI

Senior Sales Engineer, Data Science & Machine Learning

Qlik

● Led technical ML conversations during sales cycles, contributing to multiple 5- and 6-figure
deals and aligning PoCs with business goals.
● Acted as AI strategy advisor from ideation to implementation, accelerating time-to-value.
● Mentored junior engineers, translating academic theory into impactful, real-world data
science applications.

Lead Data Science Engineer

Pythian

● Designed and deployed cloud-based ML solutions with automated MLOps pipelines.
● Facilitated feasibility workshops to assess data readiness and business alignment.

Machine Learning Engineer / Solutions Architect

Stradigi AI

● Consulted on ML adoption and implementation, enabling clients to automate workflows and
derive insights.
● Delivered custom ML prototypes that converted leads into customers.
● Guided clients in feature engineering and data extraction to maximize project impact.

Machine Learning Solutions Architect

Wavemaker

● Lead client facing data science projects, along with data science projects related to internal
operations.
● Partnered with senior leadership and international data teams to data science projects for
global clients

Data Scientist

● Partnered with internal and external business intelligence teams to develop and deliver data
science solutions.
● Applied advanced analytics techniques to extract actionable insights from complex client
datasets.
● Used an array of tools in order to engineer data pipelines from 10+ marketing platforms and
databases for use in data science projects for multiple Fortune 100 clients.

Senior Data Analyst

Harry Rosen

● Leveraged SQL and Python data science packages to mine, clean, and analyze large datasets
across transactions, loyalty, customer, product, and web data.
● Led end-to-end analytic projects in cross-functional teams, collaborating with stakeholders
across departments to deliver actionable insights.
● Created and deployed customer-facing analytics solutions using loyalty and profile data, as
part of a small team managing data and analytics across the entire business.

Data Analyst

Avanade

Analyst

The Hospital for Sick Children

Project Analyst (Co-op)

Ivanhoé Cambridge

Asset Management and Operations Information Intern

University Health Network

Corporate Intranet Analyst (Co-op)

My free data science content beats those you'd pay for.

If you made it this far, you're probably here because you read the tech headlines every day and see AI news flooded everywhere. You then think to yourself, "am I missing the AI train?" 

You already have a lot on your plate, and these AI terms, tech and advancements aren't helping. 

You're told you need data to get ahead with AI, but nobody tells you what kind of data. 

You think about starting an AI team, but everyone's expensive, hiring is hard, and delivering value is even harder. 

You then think to purchase 1 of the 1000 off-the-shelf AI products, but which one? Evaluating them is hard. 

Everything AI seems like an uphill battle. 

I get it. 

I've helped countless business leaders navigate AI, while helping brainstorm use cases that bring companies hundreds of thousands of dollars in value. 

I've helped them understand what is and isn't possible with their data. I also have experience evaluating off-the-shelf AI tools to see if they're delivering what they promised. 

Let's have a video call and chat AI over a coffee. I'm buying.

Akmel Syed

Sankar Srinivasan

Red Ventures

Senior Data Scientist

Company background:
Red Ventures is one of the largest digital media companies in America, with iconic brands such as CNET, Metacritic, Lonely Planet, and Healthline.

Experience:
-Developed a time series causal inference testing methodology and embedded it into a self-service tool that allowed analysts to design an advertising experiment for a large partner.
-Prevented wasteful ad spending and saved analyst time by refactoring and maintaining a display advertising automation codebase. Explored a machine learning extension to increase the speed of bidding.

University of California, Berkeley

Graduate student instructor for STAT 134 (Concepts of Probability) F20.

Helped to create and grade quizzes and exams, and led a discussion section to go through problems with students.

Graduate Student Instructor (GSI)

Bank of the West

• Automated a submodule of the lease-servicing platform InfoLease used by the Equipment Finance Division to manage the bank's lease portfolios. Final automation solution resulted in an average of 3 hours weekly time savings for operators of the software.
•Worked on a case study for which I conducted significant financial research in order to determine appropriate products for hedging an importing company's foreign exchange risks while maintaining its margins. Presented my pitch to the Bank of the West FX and GTS teams.

CBG Solutions Delivery Intern

Adobe

•	Ideated a commercial use case for the Adobe Target software in order to demo Adobe Target mobile integration to prospective Marketing Cloud customers.
•	Developed a seamless consumer-oriented Android app to showcase Adobe Target functionality. Integration of Adobe Target SDK entailed the creation of automated personalization, geofencing, and A/B-testing Android activities utilizing audience-filtered content retrieved from Adobe Target server.

Adobe Target (Shadow) Intern

NetApp

•Developed Windows Batch scripts for the automation of firmware release for network storage solutions.
•Presented my implementations to a partnering team in North Carolina.

Storage Intern

Data Scientist @ Red Ventures | M.A. Statistics @ UC Berkeley

Medium publications (more to come!): https://medium.com/@s1sriniv

taplio

The Battle

Akmel Syed

Sankar Srinivasan

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