Uzair Rizwan-| - | https://www.linkedin.com/in/uzair-rizwan-312b74163/
Dynamic leader & team player with 5+ years of experience in data-driven roles, leveraging AI and Data Science to drive business
growth.Extensive industry experience spans Telecom, Retail, Petroleum, Web3 & Blockchain, Real Estate, and Health & Safety.
Proficient in extracting actionable insights from data using Statistics, Machine Learning, and Visualization techniques.
PROFESSIONAL EXPERIENCE
Systems Limited – Islamabad, Pakistan (July 2021 – Present)
Senior Data Science Consultant
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Working as a Senior Data Science Consultant with multinational clients across the globe, including Fortune 500 companies
such as Regeneron Pharmaceuticals, Estée Lauder, Petroleum Development of Oman (PDO), Telenor, BAT etc.
Providing expertise in end-to-end data science projects from inception to realization.
Responsible for various aspects of projects delivery, including:
➢ Pre-Sales Activity
➢ Technical Proposals
➢ Requirement Gathering
➢ Solution Architecture & Design
➢ Solution Development
➢ Research & Development
➢ Client/Stakeholder Management
➢ Team Leadership & Project Management
➢ Infrastructure, resource & cost requirements
Promoted to Senior Data Science Consultant recently due to exceptional performance & leadership qualities.
British American Tobacco (BAT) – Islamabad, Pakistan (Nov 2023 – Present)
Team Lead & Solution Architect
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Working as Senior Solution Architect, leading a team of 5 ML Engineers & 3 Data Scientists.
Design & development of Sales Uplift & Price Elasticity Models on Retail data.
Productionizing the developed Data Science Solution on Azure following MLOPs standards & practices.
Responsible for the end-to-end Solution design including Architectures, Design Flows, Deployment Flows, Git Standards etc
Responsible for various aspects of the project delivery, including:
➢ Requirement Gathering
➢ Solution Architecture & Design
➢ Research & Development
➢ Client/Stakeholder Management
➢ Team Leadership & Project Management
➢ Mentoring the Team Members
Establishing industry-standard Data Science & MLOPs standards & practices, closely collaborating with BAT management.
These protocols are set to guide BAT’s future Data Science & Machine Learning Solutions.
Hands on experience on Azure Platform including Azure ML, Databricks, MLFlow, App Insights, Log Analytics, New Relic.
Petroleum Development of Oman (PDO) – Muscat, Oman (Oct 2022 – Oct 2023)
Offshore Data Science Consultant
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Working closely with the higher management to define goals & processes to achieve digitalization within the Data Science &
AI department.
Providing expertise in end-to-end data science projects from inception to realization.
Managing a small team of data scientists & engineers to deliver high value deliverables for internal customers.
Using data science life cycles standards such as CRISP-DM to organize & manage projects.
Research on adopting best ML practices including Data Version Control (DVC), Feature Stores, MLOps using Azure
DevOps & AzureML.
Pushed for department wide MLOps practices, by presenting its importance & benefits to senior management.
Planning & conducting the MLOps adoption process within PDO.
Bird.Money – Florida, United States (August 2022 – December 2022)
Machine Learning Engineer
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Worked remotely with a Web 3.0 startup based in the US.
Providing data science & ML expertise in the development of company’s product for user behavior prediction.
Designed & developed an ETL pipeline to gather data from the Binance & Ethereum blockchains, and store into AWS RDS
Postgres instance.
Handling big data form blockchain including billions of data points using batch processing.
Developed a ML based crypto wallet scoring model for identifying key user wallets.
Developed a GRU based model to predict the trading behavior of crypto wallets.
Successfully demonstrated crypto wallets’ expected average holding time prediction model to Binance Labs.
Built Continuous Machine Learning (CML) pipeline using Gitlab & DVC.
Hands on experience on AWS Athena, RDS, EC2, S3, Glue.
Estée Lauder Inc - Islamabad, Pakistan (July 2021 – Sep 2022)
Data Science Consultant
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Worked as data science consultant for one of the biggest cosmetics companies and a Fortune 500 organization, Estee Lauder.
Responsible for overlooking end-to-end project delivery from requirement gathering & analysis to design, development &
testing of Azure-based big data ML pipelines & processes used for sales forecasting & growth projections.
Continuously optimizing & improving pipeline architectures to get better performance & meet client expectations.
Constantly verifying data integrity & quality, model performance & predictions, pipeline processes & results.
Research on different time series forecasting models & analysis for usage in pipelines.
Worked on outliers’ detection & adjustment for regressors, statistical post-processing of pipeline results and ad-hoc analysis
for the client.
Hands on experience on Azure data services like Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data
Lake Storage, Azure SQL Database.
Hands on experience of working with retail data including timeseries data using python, pandas, spark, koalas & Fbprophet.
3CIX Ltd - London, United Kingdom (April 2020 – December 2020)
Data Scientist
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Worked remotely with a UK based startup.
Providing data science & ML expertise in the development of company’s product for recruitment management system.
ETL process for automatic information retrieval from resumes using the LayoutLM model.
Implemented an algorithm to assist the matching of resumes with the given job description.
Implemented a scoring strategy to rank the top resumes w.r.t the given job description.
Designed and developed the solution as a microservice, deployed as a Flask API in Azure VM.
Successfully delivered the end-to-end solution, which is being used in the product.
Hands on experience on Python & its libraries like flask, pandas, dask, pdfparser, scikit, scipy & nltk.
Human Focus Technologies - London, United Kingdom (March 2020 – August 2022)
Machine Learning Engineer
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Worked on several projects, related to Data Analysis, ETL, Computer Vision and NLP.
Responsible for end-to-end delivery of projects, including, requirement gathering, design, development and deployment.
Lead a team of two ML engineers to deliver a financially profitable project on churn analysis & prediction which decreased
churn rates by 17%
Designed and developed a microservice for examining questions and answers, using NLP
Development of the Chatbot for the Human Focus website, using IBM Watson.
Hands on experience on cloud tools like IBM Bluemix, IBM Watson, Azure DevOps, AWS S3 & EC2.
Hands on experience on Python & its ML libraries like flask, pandas, dask, plotly, opencv, scikit, scipy & nltk.
Hands on experience on Deep Learning frameworks like PyTorch, keras & tensorflow, along with Google Colab.
Mercurial Minds - Islamabad, Pakistan (January 2019 – February 2020)
Data Analyst
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Responsible for Design & Development of Data warehouse and ETL Pipelines, for BI Solutions.
Responsible for developing product analytics capabilities for shareholders.
Development of Dashboards and Reporting modules for various projects.
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Development of Web Crawlers used for Data Scraping.
Supporting internal customers & stakeholders by providing ad hoc analytics to drive business decisions.
Hands on experience on Analytics tools like Grafana, PowerBI, Tableau & MS Excel.
Hands on experience on both SQL & NoSQL databases like MySQL, MariaDB, Postgres, InfluxDB & MongoDB.
Hands on experience on Python & its libraries like pandas, scrapy, beautifulsoup, selenium, plotly, boken, folium & PyViz.
Elixir Technologies - Islamabad, Pakistan (June 2018 – August 2018)
Internee Software Engineer
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R&D on virtualization & containerization using Docker.
Deployment of one of the Product's Module on Docker Containers using base Windows Nano Server images.
Learning advanced principles & practices of development in C++.
PROJECTS
Sales Uplift & Elasticity
Leading a team of 5 ML Engineers & 3 Data Scientists to build Sales Uplift & Price Elasticity Models on Retail data. This
comprehensive project encompasses design, development & implemention of the data science solution, inclusive of MLOPs
implementation. Additionally, we are establishing industry-standard Data Science & MLOPs standards & practices, closely
collaborating with BAT management. These protocols are set to guide BAT’s future Data Science & Machine Learning Solutions.
WhisperTube
Working on a product which is focused around using videos sourced from platforms like YouTube, X, Instagram, Tiktok &
Twitch as a knowledge base. It caters to diverse use cases, including media download, transcription, subtitling, translation,
summarization, audiobook creation, and knowledge curation, among others.
AI based Fintech Chatbot
Lead a team of 3 engineers to build an AI based chatbot specialized in the domain of finance & banking. The chatbot acts as a
financial advisor for users seeking financial help. The chatbot comprehensively guides users through their financial journey covering
topics such as investment, retirement, savings, loans, and insurance.
Oil Well Life Cycle Prediction
Working on the design & development of a project aimed at predicting the oil well run life i.e to predict if a well is going towards
failure or abandonment in the near future. This project would be really beneficial for the well engineers in estimating the well’s life &
taking necessary steps towards its closing & abandonment stages.
Blockchain Wallet Scoring & Prediction
Developed the system for predicting crypto wallets’ status in terms of their trading behaviors & crypto currency holding times,
along with a scoring mechanism for ranking wallets. This project is useful for token owners & investors, especially during ICO, to
boost the value of their crypto tokens by targeting the segment of users/wallets that most favors their objectives.
Sales Forecasting & Growth Projections
Developed an end-to-end system for analyzing & predicting sales forecasts for the cosmetics giant Estee Lauder. Sales forecasts
were generated on product level & post-processed in accordance with regional & market trends to produce growth projections for the
coming fiscal years. These projections formed an essential part of business planning & decision-making for products’ sales &
marketing teams.
Resume Matching & Ranking
Designed & developed an end-to-end system for parsing resumes for information retrieval, storing them in a resume data store,
matching resumes from the data store to incoming job descriptions & ranking them according to the desired candidate features. This
system was built as a microservice and is being used in the company’s core recruitment product.
Examination Checker
Created a microservice for examining & marking questions & answers using NLP techniques. This included both descriptive &
non-descriptive types of questions which were automatically checked & marked for customers attempting for examinations related to
health & safety trainings, certifications & licenses. The service automated the entire checking & marking process greatly reducing
human labor & cost.
Churn Analysis & Prediction
Lead a team of engineers to develop a service to analyze & predict customer churn. The tool allowed the stakeholders to analyze
churning customers’ behaviors & devise strategies to reduce potentially churning customers. The project ended up substantially
improving customer retention.
Visionary Healthcare
Designed & developed the system which included several modules such as Manual Handling assessment, Display Screen
assessment, PPE detection, Social Distancing & Mask detection using computer vision techniques. This project was integrated into the
company’s E-learning product & is being actively used by customers for their health risk assessments.
OCR Certificate Processing
Created a tool for customer information retrieval that was capable of processing 100+ different certificate types for health &
safety trainings and ingested the retrieved data into database. It also had the functionality to add more certificates and retrain the NLP
models for their information retrieval as well. The tool automated the manual processes & is being actively used by the company.
Human Focus Chatbot
Developed the Human Focus chatbot & integrated it into the company’s E-learning website. It is currently being used by
customers for their queries regarding the Human Focus E-learning portal.
Khusaal Radio Analytics
Worked on the design & development of an end-to-end analytics solution for the company’s product including data warehouse,
ETL pipelines, analytics dashboards & reporting modules. This is being used by internal customers & stakeholders as an analytics
engine to drive day-to-day operations & derive business insights.
Real Estate Analytics
Developed a system that crawled through real estate websites & ingested data into database. An analytics dashboard was then
built from the data, which was used by the customers for real estate insights.
Urdu-Speech Automated Application
Developed a desktop application for automating basic computer tasks in Urdu speech using audio processing & classification.
Facial Detection & Recognition
Implemented a hybrid architecture leveraging RCNN for face detection & Siamese neural network model FaceNet to recognize a
face by matching it with the repository of user database.
EDUCATION
FAST NUCES University – Islamabad, Pakistan
Bachelor of Science in Computer Science – July 2019
ROOTS Millennium College – Islamabad, Pakistan
A-Levels – June 2015
TECHNICAL SKILLS
Languages: Python, SQL, R, C++, Java, Shell, Matlab, Golang
Packages: Numpy, Pandas, GeoPandas, Pandas-Profiling, Pandas-Datasets, Matplotlib, Plotly, Bokeh, Folium, PyViz, Datashader,
Scrapy, BeautifulSoup, Selenium, Flask, Numba, Dask, NLTK, SpaCy, Gensim, HuggingFace, OpenAI, OpenCV, Scikit, SciPy, PIL,
TensorFlow, Keras, PyTorch, Spark, Statsmodels, FBProphet
Databases: MySQL, MariaDB, SQL Server, Postgres, MongoDB, InfluxDB, Oracle
Platforms: Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Blob Storage, Azure SQL Database, Azure
DevOps, AWS Athena, AWS RDS, AWS EC2, AWS S3, AWS Glue, AWS SageMaker
Tools: Anaconda, Jupyter, Colab, PowerBI, Tableau, Weka, OpenRefine, InfraNodus, Docker, MS Excel, SSMS, SSIS,
MySQL Workbench, SQLYog, PgAdmin, Docker, VirtualBox, VMware, Github, Gitlab, BitBucket, MLFlow, DVC
TRAININGS & CERTIFICATIONS
Azure Data Fundamentals Certification – Microsoft, Feb 2022
Understanding of core Data Concepts, such as Relational Data, Non-relational Data, Big Data, and Analytics, using
Azure Services for building & deploying Data Solutions.
Azure AI Fundamentals Certification – Microsoft, Dec 2021
Mastering the foundational skills of AI & ML, using Azure Services for building & deploying AI Solutions.
Azure Arc Training – Microsoft, Oct 2021
Overview of the Azure Arc for Management of Multi-cloud and On-premises Services & Solutions including use of
Azure Arc for managing Virtual Machines, Kubernetes Clusters, Databases, and much more.
Data Management with Informatica – Microsoft, Feb 2023
Overview of the PowerCenter ETL tool, Data Integration, Data Warehousing and much more for end-to-end
Enterprise Data Management.
