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

Outfox the Market

Business Analyst

Zizo®

[ Big Data - Retail Industry Project ] Researched and Investigated consumer retail transactional data of the Zizo Software store.
- Utilized artificial intelligence framework to predict customer's next purchase date.
- Developed state-of-the-art methods and modelling transformer model as a predictive model.
- Predicted customer transactional temporal behaviour pattern recognition in loyalty program data.
- Addressed challenges related to analysing large and complex datasets.
- Contributed to increased revenue through loyalty program insights.
- Supported data-driven business decisions in the retail sector.

AI Researcher (Retail Industry Project)

Superprof

Provide Industry-standard analytics mentorship to students adhering to business processes.
-  Steps to capture business requirements and how to translate for your audience.
-  How to Spot trends impacting business, Insight reporting and providing rationales. 
-  SQL to grab required data from data-warehouse/ system database.

Business Intelligence Coach

University of Derby

~ Process mapping of apprentices and employers for various programmes running.
~ Created and managed student onboarding dashboard on Power BI Pro and SLA Tracker on MS Excel.
~ Interviewed students to capture onboarding gaps and curated cost and time-saving onboarding SOPs.

Admin Analyst @ Apprentice Success

Abound by The Times of India

~ Smart segmentation model developed for the South Asian diaspora in the USA to prevent bad cohorts, i.e. users exploiting loyalty reward programs.
~ Automated Revenue Tracking to generate Monthly Financial Reports for Direct and affiliate Merchants.
~ Evaluated Market Share Analysis and prepared Remittance decks for engaging proposals using descriptive analysis of the raw data fetched using Plaid API and categorising other remittance platforms.
~ Responsible for modelling complex problems with the help of data mining techniques.
~ Automated  OKR and KPI tracking using Python script on data size of million records.
~ Work with cross-functional teams to identify new metrics enabling data-driven decision-making.
~ Aligned overall product development in a way for a positive growth margin only.
~ Created Marketing offers reports for Identification actionable for -ve cash flow.
~ Pipelined AWS Redshift data to their own BI tools, i.e. Quicksight, write SQL queries to solve complex problems for easy decision-making.
~ customer scoring model to help the organisation identify fraudulent customers/ inactive customers and supporting lever of revenue models, impacting the bottom line significantly. 
- Targeting loyal customers to engage with the app, shaping retention with growth in cohort with data-led marketing strategies, offering the loyalty program, and improving engagement metrics. Thus saving 100K $ Quarterly.
~ To evaluate the subscription model performance and carry the impact of various marketing campaigns B/w Abound Pro & Elite Users.

Senior Business Analyst - NeoBank (Fintech)

CARS24

~ To act as Business Intelligence Spoc between Customer Experience and Product. 
~ Analyze the internal data from the data warehouse i.e snowflake and provide insights and Data Enrichment For Enriching Customer Experiences.
~ Sentiment Analysis of customer data from the Zendesk Tool for strategic decisions.
~ To work across teams for improving operations.
~ To create queries for Views/Tables that can produce actionable insights.
~ To Publish reports using Tableau for Reporting & Dashboard for easy tracking & suggest improvements.
~ To Perform Sentiment Analysis of customer data from the Zendesk CRM for strategic decisions.

Business Analyst  (Customer Experience & Insights)

Webkul Software Pvt Ltd

~ To identify requirements of the stakeholder and translate them into functional requirements.
~ To leverage strategic planning to the stakeholders and needs of the B2B & B2C eCommerce & scale online business using ERP -(Software Business suite ) solutions.
~ To help with documentation i.e Business requirement, Functional requirement.
~ Well-versed with the retail web application and third-party integration using web - service for e.g REST API, XML RPC.
~ To provide ad-hoc analysis & software solution recommendations.
~ Developing the data integrity and helping the stakeholders with reports using internal and external data.

Ecommerce Analyst

Business Intelligence & Strategy | AI Enabled Analytics | Business Analyst | Fintech - Customer Success | Python | Power BI & Azure Certified | AWS QuickSight - Redshift | Tableau - SnowFlake

Passionately Solving Business Problems with Data Intelligence and advanced analytics Reporting Data Solutions.

Equipped with over four years of global IT experience as a Business Analyst, solving problems and delivering excellent business as usual.

I have extensive Product, Market and Customer insight analytics experience in Fintech, Retail, E-commerce, Automotive and customer experience working with Global Organisations.

Most recently, I have worked at the University of Derby in their HE & FE apprenticeship hub, curating the data solution for keeping tight SLA and significant improvement in student onboarding from 5 days to 3 days.

Before that, I was working with Abound NeoBank, a $100 Million Fintech venture in the USA backed by Times of India; I've crafted CLS (Customer Scoring Model) and segmentation using SQL, Python and RFM Models on 25 million transactional data, resulting in a quarterly boost of $1 million for the company.

Performed analytics engineering and created an analytical warehouse with cost planning during my tenure at Cars24 (Multinational Unicorn). I structured the ELT data pipeline to extract data from Payment Gateway API (RazorPay) to Snowflake, slashing the overall operation TAT by an impressive 80% for customer warranty
refunds.

taplio

The Battle

Akmel Syed

Mohan Sharma

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