Aliasgar S.

Business Development Executive

Pune, Maharashtra, India1 yr 7 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI/ML with a focus on Computer Vision.
  • Proven track record in optimizing sales and customer engagement.
  • Hands-on experience with Azure and AWS cloud platforms.
Stackforce AI infers this person is a Healthcare and AI/ML specialist with strong data analysis and business intelligence capabilities.

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Skills

Core Skills

Data AnalysisBusiness Intelligence (bi)Computer VisionMachine LearningDeep LearningCustomer ExperienceBusiness Development

Other Skills

A/B TestingAI SolutionsARIMAAgile DevelopmentAmazon Web Services (AWS)Analytical TechniquesAnomaly DetectionArtificial Intelligence (AI)Automated Machine Learning (AutoML)Big Data AnalyticsC++CNNCloud ComputingCode DesignCommunication

About

Hi I'm Ali, an AI/ML Engineer and a Data Scientist building in modern and classical ML, LLMs/SLMs, Agentic AI orchestration, Edge AI, Statistical Analysis with BI tools & Multi-Modal Computer Vision.Like to build, refactor, optimize & mix code to build cool things!Earned a Master's in Data Science from Fergusson College, with specialization in Deep Learning and Generative AI from ISI Kolkata under WSDL.Trained and certified as a Azure AI Engineer, Data Scientist & Developer, AWS AI practitioner, Fabric Data + Analytics Engineer and Power BI Data Analytics. Have AI research experience implementing Computer Vision frameworks at IDEAS ISI Kolkata innovation hub and worked building Deep Learning use cases with PINNs and Computer Vision research projects at FLAME University. Additionally experience with customer experience and security at Ubisoft India Studios. Along with almost a decade of experience in business development, data analysis and management at our family business.Currently building with Azure/AWS cloud platforms and deploying ML/data solutions across platforms. Exploring Digital Twins, Agentic AI and LLM+SLM implementations, Data Engineering with Databricks, Nvidia's NeMo & edge computing development. A techie at heart, always keen to learning, fixing, breaking and again fixing stuff! A traveller, explorer of cultures, hobbyist polyglot with elementary proficiency in German and Japanese.Feel free to say Hi👋! Would love to chat about all things new and interesting.- Aliasgar Saria (Ali)• Github: github.com/aliasgar-saria• Portfolio: linktr.ee/aliasgar.saria• Email: aliasgar.saria@outlook.com

Experience

1 yr 7 mos
Total Experience
1 yr 7 mos
Average Tenure
--
Current Experience

Ideas technology innovation hub @ indian statistical institute kolkata

Project Intern - AI/ML (Computer Vision - Healthcare)

Aug 2025 – Oct 2025 · 2 mos · Kolkata · Hybrid

  • Engineered end-to-end medical imaging computer vision pipeline for diabetic retinopathy detection using Python, OpenCV, and PyTorch-based CLIP models on Indian Diabetic Retinopathy Image Dataset (IDRiD), processing fundus photographs with 405 pixel-level segmentation masks across 5 pathological lesion types (microaneurysms, haemorrhages, hard exudates, soft exudates, optic disc) to achieve 96% disease severity classification accuracy.
  • Developed automated medical image quality control and annotation validation system implementing 8 AI-powered computer vision analysis functions (UMAP embedding visualization, similarity search, outlier detection, hardness computation, mistakenness scoring) using Voxel51 FiftyOne framework and 512-dimensional deep learning embeddings, reducing manual clinical annotation review time by 60% while ensuring dataset integrity for diabetic retinopathy screening research.
  • Performed clinical feature engineering and biomarker extraction from pixel-level pathology segmentation masks using pandas and NumPy, computing 21 quantitative disease metrics (lesion area, count, spatial distribution) and delivering 10+ interactive medical visualizations with matplotlib/seaborn for ophthalmology pattern discovery, enabling scalable healthcare AI workflows and supporting evidence-based clinical decision support systems.
  • Prototyping VoxelGPT natural language interface for conversational medical dataset analysis, exploring on-premise LLM integration using Ollama, Groq API, and HuggingFace embeddings to eliminate OpenAI API dependency and ensure HIPAA-compliant healthcare data privacy; contributing ongoing open-source development to enable cost-effective, real-time data querying for clinical research environments.
PythonOpenCVPyTorchMedical ImagingData VisualizationMachine Learning+1

Ezzi creations

Business Data Analyst - Sales & Forecasting

May 2024 – Present · 2 yrs 1 mo

  • â—Ź Helping Maximize Sales, Revenue, Customer Satisfaction & Retention with statistical data analysis & time series analysis with Power BI, Excel, to interpret perfumery sales data, consumer purchase trends, and supply chain data for actionable insights. Helping drive revenue growth through demand forecasting, seasonal trend analysis, and optimized stock management at our family business.
  • â—Ź Developed marketing strategies and targeted advertising campaigns based on consumer behaviour, demographics and geolocation preference, boosting CX engagement, aiming to reducing churn and improving retention, maximizing revenue overall.
Statistical Data AnalysisTime Series AnalysisPower BIExcelData AnalysisBusiness Intelligence (BI)

Flame university

Deep learning / AI research @ Centre for Inter-Disciplinary AI

Feb 2024 – Apr 2024 · 2 mos · Pune · On-site

  • Contributed at the Centre for Inter-Disciplinary AI with 2 research projects:
  • Developed a Computer Vision + NLP system focused on Indian cultural folk dances, implementing CNN and ConvLSTM architectures to map human pose movements with 73% accuracy. Created a structured pipeline spanning data collection, ingestion to model inference and evaluation, with 15+ model iterations featuring hyperparameter tuning and data augmentation to optimize performance on custom-built pilot dataset.
  • Implemented Physics-Informed Neural Networks (PINNs) to solve complex Partial Differential Equations PDE's including Wave, Viscosity, Burgers, and Heat Equations. Used the DeepXDE python library to develop custom neural networks that incorporate physical constraints directly into the model network learning process.
CNNConvLSTMDeep LearningPhysics-Informed Neural NetworksData CollectionComputer Vision

Ubisoft

Specialist Player Experience Interactions / Account Specialist

Apr 2021 – Nov 2022 · 1 yr 7 mos · Pune · Hybrid

  • â—Ź Analyzed Ubisoft's global player accounts through proprietary tools, email processes, user log behavior analysis & anomaly detection safeguarding customers data across NCSA, EMEA & APAC regions.
  • â—Ź Optimized workforce operations by conducting conducting Time and Motion (T&M) analysis that increased departmental performance by 15%, while leading weekly detailed QA audits and developing cross-documentation protocols for the department.
  • â—Ź Utilized proprietary security tools and and pattern recognition to monitor account activity patterns, streamline issue resolution workflows for the department, and implement data-driven process improvements that enhanced player protection systems globally.
Data AnalysisUser Behavior AnalysisAnomaly DetectionProcess OptimizationCustomer Experience

Ezzi creations

Business Development Executive

Apr 2018 – Mar 2021 · 2 yrs 11 mos

  • â—Ź Learned business skills and trade, by optimizing sales and better CX engagement by managing perfume sales and inventory using Excel for accurate sales data tracking and analysis while supporting daily retail operations at our family business.
  • â—Ź Implemented targeted advertisements and digital marketing strategies, utilizing sales data insights to optimize campaigns and boost store traffic and revenue.
Sales Data AnalysisDigital MarketingCustomer EngagementBusiness Development

Education

Fergusson College

Master's in Data Science (MSc. DS)

Aug 2022 – Jul 2024

Indian Statistical Institute, Kolkata

Winter School on Deep Learning

Jan 2024 – Mar 2024

Savitribai Phule Pune University

Bachelor's in Computer Science (BSc. CS)

Savitribai Phule Pune University

Diploma in Japanese Language & Literature

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