Owais Khan

The Royal Commission for AlUla

Leading the strategic management and development of the International Markets portfolio, targeting 10 key markets spanning Europe, North America, APAC, and GCC regions. My responsibilities encompass driving robust P&L growth, increasing visitation rates, and consumer spending in the destination through integrated marketing, brand initiatives, trade marketing, and strategic partnerships.

International Operations, Destination Marketing 

Udrive

Overall responsibility for brand development,  building marketing growth engine and D2C Subscriber/Revenue growth for Udrive across MENA region. Member of the leadership team reporting to the CEO.

Marketing Director

Mondia Group

Mondia is a tech company that provides end-to-end digital solutions/mobile marketing services in verticals such as Gaming, Music, Video-on-Demand, Lifestyle to the world's biggest consumer brands.

Overall responsibility for developing a growth engine for Mondia's clients including Subscriber Growth, Monetization, Data Enablement and Product Analytics across MENA/Europe/Africa regions. Member of the leadership team reporting to the CEO.

VP of Growth

adidas

Head of Lifecycle Marketing, Digital Activation

Namshi.com

Namshi.com is the biggest Fashion and beauty E-commerce in the MENA Region founded by Rocket Internet and owned by EMAAR.

Head of Growth & Retention

Etihad Airways

Regional Marketing Manager - Middle East

Manager Marketing - CRM & Loyalty

Direct Marketing Specialist / Interim Marketing Manager - Africa

Team Leader Holidays & Events (DMC)

Data Analyst Revenue Management

Direct Sales Agent/ Quality & Comms Lead

Marketing Strategy | Consumer Experience | Digital | Partnerships | Capability Development

As Head of Marketing, I'm all about creating dynamic growth, embracing digital innovations, and pushing boundaries in the name of risk-taking. My journey in the professional world began in sales, but 15 transformative years later/ongoing, I'm steering the marketing ship in various consumer sectors - eCommerce, Mobility, FinTech, Aviation, and Telecom VAS.

Across the years, my roles have been diverse and growth-centric: Lifecycle Marketing Manager, Regional Marketing Manager, Head of Growth & Retention, Digital Activation Consultant, VP of Growth & Analytics, and Director of Marketing, to name a few.

What I've cultivated is a rich palette of expertise in:

✔ Commanding global marketing campaigns with a sharp focus on performance marketing, CRM, and product analytics.
✔ Assembling, leading, and nurturing high-performing marketing teams across the globe.
✔ Engineering and fine-tuning marketing channels and growth engines.
✔ Establishing strategies, goals, calendars, budgets, and key KPIs.
✔ Scaling customer acquisitions via paid and earned media.
✔ Instilling a culture of growth hacking and CRO
✔ Expanding brand partnerships to stimulate growth new customer and customer loyalty.
✔ Overseeing and optimizing high-growth budgets.
✔ Crafting a magnetic brand narrative and promise.
✔ Fine-tuning ROAS, CLV, and CAC for maximum efficiency.
✔ Nurturing loyalty programs into profit powerhouses.

Specializing in: Integrated Marketing, Media Buying, eCommerce Marketing, Mobile Marketing, Digital Marketing Strategy, Digital Transformation, CRM & Loyalty, SEO, Brand Partnerships, Brand Management, Marketing Analytics, Team Management, and P&L Management.

Drop a line if you'd like to explore or discuss innovative, result-driven marketing strategies that drive business growth!

VP of Growth Marketing & Brand

Overlooking business data in its entire pipeline:
> Driving the data driven culture within the organization.
> Developing organization's analytical roadmap, accordingly developing solutions catering to the requirements of various business cases.
> Driving cloud migration projects for analytics team.
> Working with team of data engineers for orchestrating data modeling, collection and governance, building ETL pipelines, data lake and warehouse solutions on AWS cloud.
> ensures the data engineering team is developing solutions in sync with analytical teams objectives.
> Leading the team of data analysts and coordinating with them to design and develop impactful analytical/ business solutions.

Analytics Manager

Overlooks company's end-end analytical requirements:
Right from understanding business problems to creating KPIs, statistics measures to address them using analytical tools like Tableau/ Quicksight or advanced analytical solutions using Machine Learning Algorithms that are backed by datawarehouse solutions such as Snowflake/ Redshift.

Catered across all cross functional teams: built dashboards & reports for marketing, Finance, Commercials & HR for analyzing patterns, trends and subsequently built advanced solutions to improve efficiency for business Units.
Besides managing Ad-hoc reporting requests, also addressed queries related to reporting discrepancies and other operational overheads pertaining to analytics department.
deveoped sql queries for adhoc reporting/ dashboard requests.
Some of the Analytical Solutions developed are:
> Marketing performance Insights (to gauge marketing campaign's performance)
> Commercial Performance Insights/ forecasting commercial performance (Provides insights & forecasts about business performance on day-day basis)
> Profitability funnel (provides overall profitability considering all deductions from revenue at various levels)
> Usage Insights (Provides KPIs on usage of services by customers).
> Finance Team Dashboard (with insights pertaining to P&L)
> HR dashboard (giving insights on people's performance).
> worked on ML solution for user's churn prediction.
> worked on ML solution for optimizing the bills.

Business Intelligence Analyst

International School of Engineering (INSOFE)

My role requires me to address various business problems by carefully assessing the requirements, accordingly- mined data from multiple sources, converted raw data into a meaningful, clean, and usable form, provide insights from the processed data through Visual Analysis and EDA.

I possess good working knowledge of building Models using statistical methods, Machine Learning Algorithms and hands-on experience in Big Data Technologies. 
Profound knowledge of Text Mining and Natural Language Processing, Neural Networks, Linear Programming, Genetic Algorithm. 
Proficient in discovering the hidden gems of information from mammoth data sets and presenting them using various visualization tools.
Used various ML, NLP & DL Algorithms, metrics & cost functions to gauge and provide the best-fit Model.

I have good exposure to cloud based ML solutions AWS in particular and equipped to built an ML  pipeline.

Data Science Student Intern

MBME - My Bill, My Everything.

Work Highlights
	Handled projects and teams on-site as well as remotely.
	Implemented projects involving Agile and Waterfall methodology.
	Delivered projects efficiently by making use of Business Analytics, excellent People Management, leadership & Technical skills.

Key Accomplishments
•	Performed EDA on data of existing projects to gauge a product's performance, its USP in the market to help make decisions in acquiring new projects.
•	Optimized business operations, reduced costs up to 10% by analyzing the footfalls at the Business Units, and minimized pay per visit of the collections team. 
•	Improvised sales by analyzing the patterns of daily transactions of all BUs, regions, to moved non-performing units (kiosks) to more saleable locations.
•	Helped Reducing overheads incurred due to non-performing products by providing insights and ensured that similar products are rightly quoted.
•	Spearheaded projects in their full lifecycle, managed change requests.
•	Gathered requirements, evaluated costs, timelines & resources.
•	Compiled Proposals, Contracts, facilitated workshops to agree on scope.
•	Shared Project updates as per daily, weekly & monthly Communications Plan.
•	Monitored ongoing project activities to proactively mitigate the roadblocks.
•	Prepared Project Plan/ Charter, BBP, Technical/ functional Specifications and ensured a document sign-off at various stages of project execution.
•	Prioritized the tasks to deliver MVPs at the initial stage of the project deliverables.
•	Prepared the deliverables and executing a smooth UAT and Project sign-off

Business Analyst/ Projects & Delivery Manager

Bin Butti International Holdings

▪	A qualified engineering professional with around 6 years of experience under various roles that include Project Management, Operations Management, Technical Consultancy, Trainer, Systems and Applications support engineer.
▪	Possess good knowledge of IT Infrastructure, Services and Applications Management Work Flow, International standards 
▪	Currently handling company digital eco-system of the organization (Payment Services, POS Network, Kiosks, Integration with billers, aggregators and service providers etc.) as PMO, SME, SPOC and Support Engineer.
▪	Currently handling NOC Operations in accordance to ITIL standards.
▪	Support and Services of IT infrastructure (Business Apps, servers, storage, backups and network) 
▪	Business insights by performing data analytics using R and visualization with Tableau.
▪	Provide domain level training to the sub-ordinates.
▪	Managed/implemented projects for e-payment solution, IT Infrastructure, Biller Integration, Software development, Contact Centre application Hermes.net as a vendor/ partner successfully.

PMO, Network and Operations Manager, Technical Consultant

EDCH (Etisalat)

Storage, Backup, Unix, VMware, Windows, Archive and Exchange Administration

System Administrator/ IT Analyst

Hewlett-Packard

System Engineer

I am a Data Science Practitioner with a curiosity for Patterns Analysis and compassion to solve Business & Real World problems alike with the application of Statistical and Mathematical Modeling Techniques.

I possess over 10 years of industrial experience in IT software assuming various roles. 

Currently applying Data Analytics, Machine Learning, Deep Learning Techniques in its entire pipeline, and working on projects based on Predictive Analysis, Computer vision, object Detection, sentimental Analysis & NLP, to progress my career in the Data Science domain.

Coming from a Project Management background, gives me an immense understanding of the managing stakeholder's expectations, meeting deadlines, and effective communication.

I'm a quick learner and have a good track record of working in difficult situations requiring exponential amount of work.
I'm passionate about everything that I pursue and work with a result-driven approach to cater to the expectations.

My Areas of Expertise are:
Programming: R, Python - NumPy, SciPy, Pandas. Scikit Learn, Beautiful Soup, OpenCV
Databases/ Data warehouses: AWS Redshift, Snowflake, SQL.
Probability & Statistics: Central Tendencies, Probability Distributions, Hypothesis Testing
Data Visualization: Tableau, Quicksight, Python’s Matplotlib, Seaborn.
ML: Regression/ Classification, Clustering, Decision Trees, K-NN, SVM, ensemble learning (bagging and boosting)algorithms
Deep Learning: Neural Networks (ANN, CNN, RNN basics), NLP, Text Classification
Cloud, Big Data: AWS S3, Redshift, Athena, DynamoDB, Quicksight etc..
Project Management: Agile, Waterfall

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Owais Khan

Muzaffar Khan Mohammed

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