Suhail Ahmed Chandio — Researcher • ML/AI • Freelance Engineer

Suhail Ahmed Chandio

Researcher • ML/AI • Astrophysics & Particle Physics • Freelance Engineer • Educator
Open to Remote ML/AI Roles Seeking PhD Opportunities
Sindh, Pakistan · Available 14:00–22:00 PKT (weekdays)

Professional Summary

I build interpretable, survey-scale ML pipelines that translate complex astrophysical and particle-physics data into clear, validated results. Recent highlights: the Stellar AI Variability Predictor (Gaia DR3 + SDSS DR17; R² ≈ 0.85, MSE ≈ 0.02) with SHAP-verified feature importance and robust validation, and a Higgs-boson event classifier (RF/LGBM; AUC ≈ 0.89, F1 ≈ 0.75) using physics-guided features. I complement research with 8+ years of international freelancing (Top Rated Plus) across ML/data analysis, web engineering, and e-commerce automation at 100K+ SKU scale. I also teach computer science, math, and digital literacy (Grades 6–10), emphasizing reproducible methods and mentorship. This mix of rigor, delivery, and teaching lets me contribute immediately to PhD-level research and to industry projects needing reliable, explainable ML.

R² 0.85
SVI regression
AUC 0.89
Higgs classifier
100K+
Products automated
1000+
Websites delivered

Research Highlights

Stellar AI Variability Predictor (SVI)

Gaia DR3 + SDSS DR17 • Interpretable ML for brightness fluctuations & Galactic effects
  • Outcomes: R² ≈ 0.85; MSE ≈ 0.02; SHAP confirms drivers (flux variance, parallax-based distance, colors, spatial features).
  • Scope: Large-scale integration; correlation maps, CMDs; reproducible, validated pipeline.
  • Libraries: Python, pandas, scikit-learn, SHAP, NumPy, SciPy, matplotlib, seaborn, astropy, GeoPandas, shapely, pyproj.

Robust ML Pipeline for Higgs-Boson Event Classification

Random Forest baseline • LightGBM main model • Interpretable feature analysis
  • Outcomes: AUC ≈ 0.89; F1 ≈ 0.75; SHAP highlights DER_mass_MMC and physics-guided engineered features.
  • Scope: Median imputation, scaling, imbalance handling; ablations; reproducible code and reporting.
  • Libraries: Python, pandas, scikit-learn, LightGBM, SHAP, NumPy, matplotlib, seaborn.

Selected Publications

Enhancing Trust in Healthcare: The Role of AI Explainability and Professional Familiarity — Asian Bulletin of Big Data Management, 2024.

Examining ChatGPT Usage Effect on Students’ Engagement, Student Performance and E-learning Satisfaction — Journal for Social Science Archives, 2025.

Big Data Analytical Capabilities and Performance: The Mediating Role of Knowledge Management in IT Firms — Asian Bulletin of Big Data Management, 2024.

How I Can Help

For Research Groups & Supervisors

  • Survey-scale data ingestion, cleaning, cross-matching (Gaia/SDSS/eROSITA).
  • Explainable ML: SHAP, feature importance, uncertainty awareness, ablations.
  • Time-series & transient analysis; classification/regression; spatial statistics.
  • Reproducible code: versioned pipelines (DVC/MLflow basics), clear reports & figures.

For Companies & Freelance Clients

  • Predictive analytics & dashboards; demand/forecasting; anomaly detection.
  • Web engineering (WordPress/React/Next.js), SEO, site performance & security.
  • E-commerce automation: 100K+ SKU catalog ops, feeds (Google/Meta), ROAS optimization.
  • Data scraping & enrichment (Scrapy/BS4/Selenium/Playwright); content workflows.

Technical Skills

ML/AI: Pythonpandasscikit-learnTensorFlowPyTorchSHAP (XAI)NLP (Transformers, spaCy, NLTK, Rasa)Time-series (LSTM, ARIMA, Prophet, statsmodels)OpenCVStable DiffusionMLflow/DVC
Astro/Spatial: astropyGeoPandasQGISshapelypyprojrasterio
Viz: matplotlibseabornPlotlyGrafana
Web & Data: WordPressPHPMySQLJavaScriptReactNext.jsTailwindDockerGitScrapyBeautifulSoupSeleniumPlaywright
E-commerce: ShopifyWooCommerceCS-CartAmazon/Etsy/eBayKlaviyoGoogle AdsMeta AdsStripe/PayPal

Experience

Freelance ML/Data & Web/E-commerce (Top Rated Plus)

2016–Present
  • Delivered 1000+ websites; automated catalogs of 100K+ SKUs; achieved up to 4:1 ROAS.
  • Built production-minded ML solutions; scraping & data pipelines; analytics dashboards.

Junior Elementary School Teacher — Govt. Campus High School Chhajra

Jul 2025–Present
  • Taught Grades 6–10: CS, coding, digital literacy, mathematics, physics.

Primary School Teacher — Govt. Campus High School Chhajra

Apr 2022–Jun 2025
  • ICT literacy, foundational math, and career guidance for early learners.

Education

M.E. (Information Technology) — MUET, Jamshoro (2024–2025)

  • Thesis: Stellar AI Variability Predictor for Brightness Fluctuations & Galactic Effects
  • GPAs: 3.67, 3.75, 3.75 / 4.00 • Medium: English • Milestones: Initial Seminar (Aug 2025), Final (Nov 2025), Viva (Jan 2026)

B.E. (Computer Systems Engineering) — MUET, Jamshoro (2014–2017)

  • CGPA: 3.32 / 4.00 • Projects in computer vision & data analysis

Teaching & Outside Interests

  • Teaching: CS/coding pedagogy, math reinforcement, digital literacy, mentoring and career counseling.
  • Outside interests: light freelance consulting to support family, student counseling, daily walking/jogging, casual gaming, and weekend learning/relaxation with Netflix.

Let’s Collaborate

For research collaborations, PhD supervision inquiries, or ML/AI & e-commerce projects, email suhailahm996@gmail.com or connect on LinkedIn. Quick briefs/specs are welcome.

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