Dr. Syed Hassan Amin

Director Data Science and Analytics at Cityscape Technology Corporation
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Contact Information
us****@****om
(386) 825-5501
Location
Lahore District, Punjab, Pakistan, PK

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Iqbal Malik

Data Science and machine learning are the primary motivation for Hassan that drive his career progression. With a solid educational background in Computer Science, AI, Data Science and relevant experience in product development, training and development, Hassan can prove to be a valuable asset for any organization seeking to build expertise in machine learning to gain competitive advantage. At i2c, Hassan developed and administered a comprehensive training program comprising 30+ modules to impart necessary skills in Data Science and Machine Learning to help the newly formed AI team in learning and applying acquired skills to their product engineering effort. It was a custom built program devised to address specific needs in consultation with the stakeholders for whom Machine Learning was the way forward. It was a valuable contribution of Hassan at i2c. Data Science drives Hassan at work and he is eager to share his views, knowledge and experience with others. I wish him the best in his future endeavours.

Maha Yaqub

Dr Hassan has been an integral part of building and growing the AI team at i2c. We worked together to interview and hire candidates with machine learning experience. During his time at i2c he has developed multiple trainings for employees to help them stay up to date with the latest technologies. His knowledge of data science will be useful for any developing AI team in the industry.

Furrukh Sohail

Dr. Hassan is a very unique person in this industry. He comes with view of how things should be ideally, which is important now a days as we move into see that technical growth of our competitors is creating a gap in what our local talent experiences and knows vs them. Would love to work with him again to fill in the gaps in this area in general for the whole industry.

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Credentials

  • Credit Risk Modelling with Python from DataCamp
    DataCamp
    Sep, 2020
    - Nov, 2024
  • Advanced Deep Learning with Keras in Python Course
    DataCamp
    Dec, 2018
    - Nov, 2024
  • Building Recommendation Engines with PySpark Course
    DataCamp
    Dec, 2018
    - Nov, 2024
  • Convolutional Neural Networks for Image Processing Course
    DataCamp
    Dec, 2018
    - Nov, 2024
  • Importing & Managing Financial Data in Python Course
    DataCamp
    Dec, 2018
    - Nov, 2024
  • Introduction to PySpark Course
    DataCamp
    Dec, 2018
    - Nov, 2024
  • Data Scientist with Python Track
    DataCamp
    Nov, 2018
    - Nov, 2024
  • Interactive Data Visualization with Bokeh Course
    DataCamp
    Nov, 2018
    - Nov, 2024
  • Joining Data in PostgreSQL Course
    DataCamp
    Nov, 2018
    - Nov, 2024
  • Natural Language Processing Fundamentals in Python Course
    DataCamp
    Nov, 2018
    - Nov, 2024
  • Network Analysis in Python (Part 1) Course
    DataCamp
    Nov, 2018
    - Nov, 2024
  • Introduction to Data Visualization with Python Course
    DataCamp
    Oct, 2018
    - Nov, 2024
  • Introduction to Databases in Python Course
    DataCamp
    Oct, 2018
    - Nov, 2024
  • Manipulating DataFrames with pandas Course
    datacamp
    Oct, 2018
    - Nov, 2024
  • Merging DataFrames with pandas Course
    DataCamp
    Oct, 2018
    - Nov, 2024
  • Cleaning Data in Python Course
    DataCamp
    Sep, 2018
    - Nov, 2024
  • Importing Data in Python (Part 1) Course
    DataCamp
    Sep, 2018
    - Nov, 2024
  • Importing Data in Python (Part 2) Course
    DataCamp
    Sep, 2018
    - Nov, 2024
  • Linear Classifiers in Python
    DataCamp
    Sep, 2018
    - Nov, 2024
  • Python Data Science Toolbox (Part 1)
    DataCamp
    Sep, 2018
    - Nov, 2024
  • Python Data Science Toolbox (Part 2)
    DataCamp
    Sep, 2018
    - Nov, 2024
  • pandas Foundations Course
    DataCamp
    Sep, 2018
    - Nov, 2024
  • Intermediate Python for Data Science Course
    DataCamp
    Jun, 2018
    - Nov, 2024
  • Introduction to R Course
    DataCamp
    Jun, 2018
    - Nov, 2024
  • Deep Learning in Python Course
    DataCamp
    May, 2018
    - Nov, 2024
  • Introduction to Python for Data Science Course
    DataCamp
    May, 2018
    - Nov, 2024
  • Machine Learning with Python Track
    DataCamp
    May, 2018
    - Nov, 2024
  • Machine Learning with the Experts: School Budgets Course
    DataCamp
    May, 2018
    - Nov, 2024
  • Supervised Learning with scikit-learn Course
    DataCamp
    May, 2018
    - Nov, 2024
  • Unsupervised Learning in Python
    DataCamp
    May, 2018
    - Nov, 2024
  • Introduction to Statistical Thinking (Part 1)
    DataCamp
  • Introduction to Statistical Thinking (Part 2)
    DataCamp
  • Linear Classifiers in Python
    DataCamp

Experience

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Director Data Science and Analytics
      • Sep 2022 - Present

      In this role, I am responsible for development of data science and analytics solution along with management of team. My key responsibilities include :-1). Team Development and Management2). Development of Real Estate Chatbot using Microsoft Bot Framework, LUIS, QnA and GPT33). Development of Data Pipelines, Automation of Data Pipelines, and Data Validation Framework for Maintaining Data Quality4). Implementation of Real Estate Analytics5). Development of Predictive Models for Real Estate DomainsSkills Used: Python, Machine Learning, Data Engineering, Analytics and Data Visualization, Team Management, Requirement Analysis and Documentation, Product Planning and Management, Competitive Analysis around the product, Research around relevant technologies, Development Software Architecture, Coding and management of Code base, Strategic Management.Tools and Technologies : Python, Microsoft Bot Framework, LUIS, QnA, GPT-3, Jenkins, Docker, Superset, MariaDB, BitBucket(Git), Jira etc

    • Pakistan
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Vice President Data Science and Business Intelligence
      • Jun 2021 - Present

      As a vice president focusing on building data science and business intelligence solutions for AirViewX. I am responsible for providing vision and leadership needed to build data science and business intelligence solution and services. Building a strong team, equipping it with latest tools and technologies, training it to embrace change and delivering services to clients to meet their expectations are some of my challenges. I am passionate about using open source tools and technologies for building cost effective, efficient and scalable data science solutions to meet challenging needs of the organization.At aircod, I am currently involved in following projects/initiatives :-1). Setting up and configuring Greenplum and Hadoop clusters for big data analytics in drive testing and ERP domains2). Setting up Superset for building dashboards for AirViewX3). Setting up and configuring Spark clusters for ETL and analytics use cases in drive testing and ERP domains4). Using Spark with delta lake for ETL and data science use cases5). Exploring delta lake with Databricks community edition6). Worked with an in-house team for processing drive testing data and loading it in Greenplum for building analytics7). Used Docker for quickly setting up local environments for exploring Superset, Greenplum, Kafka, Spark etc.8). Migration from SQL Server to PostgreSQLTools and Technologies : SQL Server, Greenplum, MySQL, PostgreSQL, Apache Spark, Superset, Kafka, Delta Lake, Databricks, Tensorflow, Keras, Machine learning in Greenplum, Hadoop

    • United States
    • Software Development
    • Advisor Data Science and Technology
      • Apr 2021 - Present

      At AirViewX, I am responsible for solution design, software product management, quality assurance, support to sales team, business intelligence and data science. At AirViewX, I am responsible for solution design, software product management, quality assurance, support to sales team, business intelligence and data science.

    • United States
    • Financial Services
    • 700 & Above Employee
    • Director Technology(Data Science, Business Intelligence,Columnar Databases, Data Science Training)
      • Dec 2016 - Jun 2021

      As a Director Technology, my focus was on development of organizational capacity in data science. I made several contributions that have made i2c technologically advanced and more competitive. These contributions include :-1). Development of inhouse payment analytics solution based on big data technologies2). Hiring and training of over 30 member strong data science team3). Automated Fraud Analytics system for automated fraud detection and prevention4). Text Analytics system for automated call log analysis5). Attracting top talent to i2c, and helped i2c to hire over 300 resources in last 4 years6). Hiring of business analysis and data analysis teamsTechnical contributions include :-1). Setup Greenplum cluster along with Hadoop and Spark with help from relevant teams for storing and analyzing fraudulent transactions.2). Trained in-house team in Apache Spark and Hadoop. Setup local spark cluster and built spark based data pipeline for importing and analyzing fraudulent transactions at high speed.3). Performed exploratory data analysis and built data science models(Gradient Boosted Trees, Random Forest, Neural Networks) in spark for training and classification of fraudulent transactions at high speed.Tools : Python, Pyspark, Keras, Tensorflow4). Extracted key features from call logs and did basic NLP analysis for identifying calls with serious problems or not meeting certain criteria5). Using unsupervised learning for pattern identification, anomaly detection and building training dataset for fraud detection6). Building ML API's using Flask for serving Data Science models to other applications 7). Did R&D on Chatbots for financial applications and trained team to build chatbots from scratch8). Did R&D on latest developments in NLP such as BERT, and introduced these developments to the Data Science teamTools and Technologies : Informix, MySQL, Greenplum, Apache Spark, Python, Tensorflow, Keras, BERT, Chatbots, Hadoop, Flask

    • Technology, Information and Internet
    • 100 - 200 Employee
    • VP Technology
      • Sep 2015 - Nov 2016

      As a VP technology, I have been involved in managing program of work, resource management, hiring and training. I am responsible for setting up and implementation of best practices, development guidelines, design guidelines, code reviews, and other standards for delivering highest quality while improving efficiency. My focus is delivering highest value for the organization through effective planning, tracking and highest standards of professionalism in technology and project management. To improve effectiveness of the team, I am implementing training programs and ensuring continuous improvement and adaptability of the team.Highlights1). Technical Due Diligence of Tech Companies for Merger/Acquisitions2). Internal Audits and Continuous Improvement ProcessesInitiatives1). Architecture and Technology Stack for SaaS applications2). Using AWS cloud for SaaS applications, and training team to use AWS cloud3). Creating Scalable and Fault Architectures using AWS4). Managing deployments on scalable architectures using Code Deploy5). Training Team Members to Use Phuppet for VM Creation, and Managing Deployment on AWS6). Training Team to do Unit Testing for Laravel Applications7). Creating and Rolling out Version Control Processes8). Creating and Rolling out Deployment Processes9). Creating and Pushing Security Guidelines for Web Applications10). Worked with QA lead to establish following QA processes :-Test Case Documentation, Test Case Audit, Test Coverage, Software Quality Measurement, QA Reports, Zephyer for Test Case Management, Selenium for automated testing of UI11). Development and application of skillmatrix to measure and improve team skills and guide development of training plansa). QA Skillmatrixb). Web Development Team Skillmatrixc). Mobile Development Team Skillmatrix

    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Director Technical Operations
      • Jan 2014 - Dec 2015

      In Genie, my main role is to provide leadership focusing on design and delivery of BI solutions as per client requirements. I have been responsible for leading the team on technical side of Business Intelligence including :-1). Understanding customer requirements 2). Data understanding, ETL, data warehouse design and modelling. Gained extensive insight into retail and clickstream data. 3). Database administration, database performance tuning, designing reports as per customer requirements. Gained extensive insight into Oracle database(Oracle 11g). 4). Hardware requirements specifications, hardware and software performance analysis for lowering hardware cost while improving performance 5). Exploring data using data mining techniques for predictive analysis. Training team to deliver BI solutions for big data problems. 6). Design and delivery of Big Data solutions based on in-house data centre, as well as public clouds such as Amazon and Azure.7). Capacity building through in-house training and mentoring of all teams including QA, BI, ETL, and core development team8). Attracting new talent and improving quality of hiring9). Managing diverse teams with 20+ resources10). Development of data models for clickstream data warehouse11). Performance analysis of data warehouses to optimize hardware requirements and performance12). Oversight of development team responsible for development of IDM-AP(flagship BI product of IDM Analytics)

    • United States
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Technical Manager
      • Aug 2011 - Mar 2013

      Providing technical guidance and training in diverse domains including:1). Providing iPhone and Cocos2D game development training2). Improving understanding of isometric game development and development SDK to further facilitate game development for iPhone3). Developing understanding of cross platform game development using Cocos2D-x4). Development of diverse training programs to enhance organizational capabilities. Training programs include Unity3D, Web development, and Server Side Development5). Management of projects where required6). Development of training program for unstructured data processing7). Monster Farm : This is much smaller isometric game that can be completed within 1 week by a resource who is being trained on isometric game development8). Farm Attack : Farm Attack is a social mobile game that has isometric graphics. It was developed in house to train resources in client and server side development and production of games. Main technical features of this game are use of highly optimized tile map, sprite sheets, skeletal animations, AI and high level design. Game was organized into multiple scenes including main game scene, story, and battle scene(isometric). This game was developed in 3.5 months by 12 resources(GD's, Developers, Production and Testing).

    • Pakistan
    • Higher Education
    • 400 - 500 Employee
    • Head of Computer Science Department
      • Sep 2009 - Aug 2011

      1). Responsible for Bachelors and Masters of Computer Science Program2). Introduction of New Courses,3). Organizing Seminars, Workshopsa). Organized Android Application Development Workshopb). Help organize NUTEC 2009 and NUTEC 20104). Developing and Advancing Research Activities5). Ensuring compliance with regulating authorities such as HEC and NCEAC 6). Head the Computer Support Group of the Campus7). Organized and Managed Admissions in Year 2009 and Year 2010

    • Assistant Professor
      • Jan 2009 - Jul 2011

      Teaching BS and MS courses including computer graphics and pattern recognition. Research in the area of biometrics, pattern recognition and computer vision.Courses Taught in Spring 2009Computer GraphicsCharacter and Pattern RecognitionCourses Taught in Fall 2009Computer ArchitectureComputer Organization and Assembly Language ProgrammingAdditional DutiesOrganizer for Admission Campaign 2009Organizer for NUTEC 2009Member Disciplinary CommitteeActing Head(Incharge) Computer Science DepartmentMember Campus Management Committee

    • Research Services
    • 700 & Above Employee
    • PhD
      • Oct 2004 - Jun 2009

      Completed PhD from Imperial College London, United Kingdom. PhD was funded by Commonwealth Scholarship Commission, which is a highly competitive scholarship. Completed PhD from Imperial College London, United Kingdom. PhD was funded by Commonwealth Scholarship Commission, which is a highly competitive scholarship.

    • Lecturer
      • Jun 2003 - Oct 2004

      Courses taught included Data Structures, Automata Theory and Computer Graphics.Administrative activities conducted include organization and support for admissions process. Courses taught included Data Structures, Automata Theory and Computer Graphics.Administrative activities conducted include organization and support for admissions process.

    • Programmer/Graduate Assistant
      • 2000 - 2003

      I started as Database Programmer and worked as Oracle Programmer on Personnel System. I also assisted in maintaining the legacy Library information system at GIKI library. I was also involved in implementation of Entry Test system and provided crucial support needed for the successful demonstration of the system to user. Later, after successfully qualifying for graduate assistantship worth around 4000£, I joined the institutes MS programme. During MS , I also worked as graduate assistant giving crucial support to students in labs and helping in many courses.

Education

  • Imperial College London
    PhD, Computer Vision
    2004 - 2009
  • Ghulam Ishaq Khan Institute of Engineering and Technology, Topi
    MS, Computer System Engineering
    2001 - 2003
  • Islamia Collegiate School, Peshawar
    Matric, Science
    1988 - 1993

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