Dublin, Ireland  ·  24×7 Global RSOC  ·  EMEA

Hemanth Kori

Most people are either a security analyst or a data analyst.
I spend my shifts as both.

RSOC Operator @ Synopsys  /  Data Analyst  /  PGDip Data Analytics

I watch a Fortune 500 estate for a living then go home and build the models that explain what I saw.

“The data never lies — it just hides. My job is to find it.”

0 Security alerts triaged per day
0 SLA on critical escalations
0 Faster BI reporting via automation
0 Papers published with a Zenodo DOI
01 — Experience

From SOC floor
to statistical model

Seven years of a single through-line: get closer to the signal. Penetration testing taught me how attackers think, analytics taught me how to prove it with numbers, and a global RSOC is where both get used in the same shift.

  1. Oct 2025 — Present

    RSOC Operator — Synopsys, Dublin

    24×7 Global RSOC · EMEA coverage · Regional Badging Admin

    • Triage 100+ security alerts daily in Splunk and Microsoft Sentinel, holding a sub-5-minute SLA on critical escalations.
    • Run full incident investigations — log correlation, IOC enrichment, threat-pattern analysis — escalating to Tier 2 against documented playbooks.
    • Monitor endpoint threats in CrowdStrike Falcon EDR: lateral movement, suspicious process trees, anomalous behaviour.
    • Analyse phishing, malware indicators and suspicious URLs; document every case in ServiceNow with post-incident write-ups.
    • Track MTTD / MTTR and feed security-posture reporting up to global SOC leadership.
    • Serve as Regional Badging Admin for EMEA — physical access control, identity badging and access governance across the region.
  2. 2023 — 2025

    PGDip Data Analytics — Dublin Business School

    Masters-level coursework · Two papers published to Zenodo

    • Time-series forecasting, statistical inference, machine learning and BI architecture at postgraduate level.
    • Published an ARIMA/SARIMA CO₂ forecasting study (MAE < 1 ppm) with a permanent DOI.
  3. 2022 — 2023

    Data Research Analyst — upGrad (Remote)

    ETL · Predictive modelling · Power BI & Tableau

    • Designed end-to-end ETL pipelines in Python (pandas, NumPy) for large-scale BI and predictive workloads.
    • Built interactive Power BI and Tableau dashboards, cutting reporting turnaround by 60% through automation.
    • Applied scikit-learn classification models to churn, ride-sharing and loan-approval datasets.
  4. 2021 — 2022

    SOC Analyst Intern & VAPT Trainee — Cyberspace Ltd / Targe Cyberspace

    SIEM monitoring · OWASP Top 10 · Python tooling

    • Monitored SIEM dashboards; performed alert triage, log correlation and escalation against SOC SOPs.
    • Conducted VAPT / WAPT on web applications and networks following OWASP Top 10 methodology.
    • Built Python GUI tooling with ML automation to compress repetitive security workflows.
  5. 2018 — 2022

    B.Tech, Information Technology — CMR University, Bangalore

    Algorithms · Networking · Systems

02 — Selected projects

Things I built
to prove the point

Detection engineering, BI, and machine learning — all public on GitHub, all reproducible.

Detection engineering Microsoft Sentinel · KQL · MITRE ATT&CK

Microsoft Sentinel SOC Home Lab

Three production-style analytics rules for the attacks a Tier-1 analyst triages every shift: brute-force authentication (T1110), impossible-travel sign-ins (T1078) and after-hours privileged activity (T1078.004 / T1098). Each detection ships the KQL, the tuning notes, an ATT&CK mapping and a step-by-step investigation runbook — the same artifact a real SOC keeps for every alert.

View on GitHub
Business intelligence Power BI · DAX

Sales, Marketing & HR Dashboards

Three interactive Power BI dashboards with slicers, drilldowns and clean DAX measures — YoY revenue, CAC, marketing ROI and attrition rate — over reproducible datasets.

View on GitHub
Machine learning Python · scikit-learn

Loan Approval Prediction

Logistic regression, decision trees and random forest compared on a loan-approval dataset, with the full preprocessing chain and evaluation metrics kept in the repo rather than in a notebook comment.

View on GitHub
Data engineering Python · pandas · Matplotlib

Sales & Customer ETL Pipeline

Extract, transform and load over sales and customer data, ending in aggregated revenue by region — the unglamorous layer every dashboard quietly depends on.

View on GitHub
Classification Python · scikit-learn

Breast Cancer Classifier

Logistic regression on the breast-cancer dataset, reported honestly: confusion matrix, ROC curve and the metrics that matter when false negatives are expensive.

View on GitHub
Unsupervised Python · K-Means · PCA

Wine Clustering Analysis

K-Means over the Wine dataset with PCA for dimensionality reduction, plus the visualisations that make the cluster assignments arguable rather than asserted.

View on GitHub
Tooling Python · Tkinter · SQLite

Employee Management System

A desktop CRUD application — Tkinter front end, SQLite behind it. Built for the same reason SOC automation gets built: someone was doing it by hand.

View on GitHub
Scraping Python · BeautifulSoup

IMDb Ratings Scraper

Pulls titles, ratings and genres from IMDb with Requests and BeautifulSoup, then charts the ratings distribution. Small, but it is the acquisition step of every analysis above.

View on GitHub

All 26 repositories on GitHub

03 — Capability

Two toolchains,
one operator

01 Security operations

  • Splunk
  • Microsoft Sentinel
  • KQL
  • CrowdStrike Falcon EDR
  • ServiceNow
  • MITRE ATT&CK
  • Alert triage
  • Incident investigation
  • IOC enrichment
  • Phishing analysis
  • MTTD / MTTR reporting
  • VAPT / WAPT
  • OWASP Top 10
  • Access governance

02 Data & analytics

  • Python
  • pandas
  • NumPy
  • scikit-learn
  • SQL
  • SQLite
  • R
  • ETL pipelines
  • ARIMA / SARIMA
  • Classification
  • Clustering & PCA
  • Power BI & DAX
  • Tableau
  • Excel 365 Advanced

03 Credentials

  • PGDip Data AnalyticsDublin Business School
  • B.Tech Information TechnologyCMR University
  • Irish Security Licence — PSA certifiedIreland
  • Machine Learning & AIupGrad
  • Python & DjangoupGrad
  • Data Science with RupGrad
  • Excel 365 AdvancedMicrosoft
  • In progress: CompTIA Security+ · Microsoft SC-2002026
04 — Published research

Peer-archived,
not just posted

Both papers are archived on Zenodo with a permanent DOI and rewritten for a general audience on Medium — an experiment in dual publishing that turned out to be worth repeating.

DOI 10.5281/zenodo.16788044

Forecasting Atmospheric CO₂ Concentrations Using SARIMA Models

Time-series analytics on atmospheric CO₂, achieving a mean absolute error under 1 ppm. Rising CO₂ is one of the clearest human-driven climate signals we have; this models where the curve goes next.

DOI 10.5281/zenodo.16788438

COVID-19, the Russia–Ukraine Conflict and the Automotive Industry

A data-analytics reading of two consecutive shocks to global automotive production — what the pandemic did to demand, what the conflict did to supply, and which effects were actually separable.

05 — Contact

Open to SOC Analyst L2, Data Analyst and Security Engineering roles.

Based in Dublin, Ireland. Happy with hybrid or remote across EMEA. The fastest way to reach me is email.

hemanthkori007@gmail.com