Hi, I'm Danial
Data Scientist | ML Engineer
Leading AI and Data Science expert with a proven track record in transforming raw data into strategic business insights. Currently, I lead innovative AI solutions at i13 Ventures, focusing on the financial sector in Ireland. With a strong engineering background and multiple advanced credentials, I specialize in leveraging predictive and generative AI to drive organizational success. My passion lies in making data work for you, turning complex datasets into actionable strategies that elevate business performance.
Contact MeAbout Me
My Introduction![](assets/img/about.webp)
Dynamic AI and Data Science Professional at i13 Ventures, I lead the charge in applying advanced AI technologies across diverse industries. With a rich engineering background and numerous accolades, I am committed to transforming data into strategic assets that drive business growth. My focus is on utilizing cutting-edge AI to unlock new opportunities and elevate organizational success. Discover how my expertise can turn your data into powerful tools for innovation and progress.
Experience
projects
Completed
Core Data Competencies
My Data Science SkillsData Wrangling
80%Data Pre-processing
90%Feature Engineering
80%Natural Language Procesing
80%Computer Vision
85%Sequence & Series
85%Deep Neural Networks
80%Reinforcement Learning
80%Transformers & Auto Encoders
70%Stocastic & Bayesian Optimization
70%Skills
My Software SkillsData Science
More than 6 yearsPython
90%Keras/TensorFlow
80%Jypter/Spyder
80%R/R Studio
85%SQL
90%MATLAB
90%Data Visualization
More than 6 yearsTableau
90%Seaborn/Matplotlib/Plotly
80%Power BI
85%Google Sheets/Excel
100%MiniTab
85%SPSS
80%Cloud Architecture
More than 3 yearsGoogle Cloud
80%Amazon Web Services
80%Microsoft Azure
80%IBM Watson Studio
85%Productivity
More than 10 yearsG Suite
100%Microsoft Office
90%Github
80%Keynote/Numbers/Pages
85%Latex/Mendeley/Zotero
95%Recognitions
My Digital BadgesQualifications
My Personal JourneyInternational Masters in Business Administration
Rennes School of Business, FranceMicro-Masters in Digital Transformation
University of Queensland, AustraliaMicro Masters in Statistics and Data Science
Massachusetts Institute of Technology, USAMicro Masters in Design Thinking
Rochester Institute of Technology, USAMicro Masters in Business Analytics
University of Wisconsin-MadisonMicro Masters in Project Management
Rochester Institute of Technology, USAMicro Masters in Data Science
University of California San Diego, USAMicro Masters in Artificial Intelligence
Columbia University, USAMicro Masters in Predictive Analytics using Python
The University of EdinburghMS-Advanced Data Analytics
Georgia Institute of Technology, USAMS-Aerospace Engineering
Georgia Institute of Technology, USABachelors in Aerospace Engineering
Institute of Space Technology, PakistanWork Experience
My Professional JourneyArtificial Intelligence & Data Science Lead
i13 ventures, Ireland-
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Leading the data science and data analytics practice to develop Large Language Models (LLMs) based ventures and drive the navigation of the organization.
Envisioning the studio’s theme and mission in the domains of AI and ML through lean and agile practices.
Creating end to end products with optimized performance through dedicated and on‑prem hosted server orchestrations.
Designing the studio’s design strategy for implementing inclusive and AI oriented design thinking process for the impactful projects in startup ecosystem.
Developing a ideation and growth strategist using generative AI with explainable AI framework.
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Lead Data Scientist
Abacus Consulting, Pakistan-
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Leading the data science and data analytics team to develop customer oriented data solutions covering data mining, exploratory data analytics, perspective data analytics, descriptive data analytics, time variant data analytics and predictive data analytics for a broad spectrum of industries including financial, retail, consumer based products and real estate industry using legacy statistical data modeling, traditional machine learning, deep neural networks, reinforcement learning, and meta learning on Python, Google Cloud products, AWS and Microsoft based solutions.
Developing big data analytics infrastructure, framework and strategies incorporating AI/ML and DL for enterprise clients in multitude of industries using GCP.
Leading the data analytics division at the global level and managing a team of more than 20 developers.
Driving the organizational policy and strategy in the domains of data science and analytics and providing direct insights to top management for orchestrating the vision of data analytics division.
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Data Scientist
Automat Solutions, USA-
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Developed a Dedicated Pipeline with an ensemble of 14xEstimators with a multitude of Pre-processing Strategies/Feature Engineering Techniques for Reliable and Robust Prediction of eV Battery Properties.
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Developed a Dedicated Pipeline with an ensemble of state of the art Regressors alongwith a collection of Feature Engineering Techniques for Black-box Optimization of the Solution Space using Bayesian Optimization.
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Conduct of Multi-Objective Optimization using advanced Genetic Algorithms/ Evolutionary Algorithms for enhancement of throughput of Optimized Solution Space with a sequential pipeline strategy.
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Lead ML Engineer
Omdena, USA-
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Worked on Reinforcement Learning for estimation of receptivity score using twitter data as the main dataset coupled with extrinsic scrapping based mixed data.
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Created & Deployed a model which increased the content reach of NPOs/NGOs for funding and other opportunities by 20%
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Worked on Image Classification and Object Recognition for detection of smuggling activities over sea using IR & Daylight Images
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Guided a team of five machine learning engineers with the task of implementation of successful image classification model using CNNs with an overall accuracy increase of 12%
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Assistant Manager
Public Sector, Pakistan-
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Implemented a Reliable & Real Time Fuel Estimation Neural Network Model in Unmanned Aerial Systems which reduced Mean Absolute Error by 72%.
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Implemented a SMART Technical Record Management System which optimized the overhauling and maintenance schedules of 52 aircraft components using AI based Anomoly Detection Framework
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Spearheaded the development of SMART Predictive Maintenance & Product Invenotory Management System using Forecasting
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Reduced the risk factor of the autonomous flight by 23% by introducing AI- enabled Early Warning System
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Conducted 23 Root Cause Analysis Sessions with in-house built AI Enabled Fault Tracing and Forensic Engineering Mechanism
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Blog
My Thoughts![](assets/img/project.webp)