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DATA ANALYST · ASPIRING DATA SCIENTIST

Subhasri T

Turning Data Into Meaningful Decisions.

B.Sc. Data Science · Two applied analytics internships

Data Analyst skilled in SQL, Python, Tableau, Power BI, and Excel — turning messy datasets into clean dashboards and business-ready insights.

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Subhasri T — Data Analyst portfolio portrait with data status dashboard overlays
6+Projects
5+Tools Mastered
2Internships
SELECTED WORK

Real Problems,
Solved With Data.

Each project is on GitHub with full documentation, methodology, and findings.

AI-based DDoS attack prediction SOC dashboard
PROJECT 01

AI-Based DDoS Attack Prediction

Built a three-stage network intrusion detector (Normal → Early Warning → Full Attack) using a Hybrid Hierarchical BiGRU model with autoencoder-based anomaly features, moving beyond binary classification to catch attacks before they fully develop.

PythonTensorFlowKerasBiGRU
View repository
Retinal disease severity prediction with Grad-CAM
PROJECT 02

Retinal Disease Severity Prediction

Classified retinal images as low/high severity risk using only 40 labeled images with no ground-truth severity data available.

PythonTensorFlowCNNMobileNetV2Grad-CAM
View repository
Personalized medicine recommendation application
PROJECT 03
Live demo

Personalized Medicine Recommendation System

Predicts drug category from patient condition descriptions across 9,700+ records using NLP and classification models.

PythonScikit-learnTF-IDFStreamlit
View repository
HR employee attrition analysis dashboard
PROJECT 04

HR Employee Attrition Dashboard

Interactive dashboard analyzing 1,470 employees to identify what actually drives attrition and quantify the financial cost.

Microsoft ExcelPivotTablesSlicersKPI Cards
View repository
Thermal drift appliance monitoring charts and sensor hardware
PROJECT 05

Thermal Drift Appliance Monitoring

Detects early signs of appliance failure from temperature sensor data using unsupervised anomaly detection — no labeled failure data required.

ArduinoPythonIsolation Forest
View repository
Global COVID-19 outbreak monitoring dashboard
PROJECT 06

COVID-19 Data Analysis & Outbreak Monitoring

SQL-based analysis tracking outbreak patterns and monitoring key metrics during the COVID-19 pandemic.

SQL
View repository
EDA internship projects with three analysis dashboards
PROJECT 07

EDA Internship Projects

Three end-to-end EDA projects completed independently during a Data Analyst internship, covering unemployment, customer personality, and salary data.

PythonPandasMatplotlibSeaborn
View repository
CAPABILITIES

A Toolkit Built
for Analytics.

From raw query to final dashboard — the tools I use to find, test, and communicate what matters.

Data Analysis

SQLMySQLPythonPandasNumPyData CleaningEDA

Machine Learning

Scikit-learnTensorFlowRandom ForestCNNNLPModel Evaluation

Visualization & BI

Tableau · PrimaryPower BIExcelPivotTablesDashboard DesignKPI Development

Soft Skills

Business AnalysisProblem SolvingCommunicationAttention to Detail
ABOUT

Finding Clarity
in Complex Data.

I’m a data analyst who enjoys finding the clear answer hidden inside messy information. I build thoughtful analyses, honest models, and dashboards that help people act with confidence.

EXPERIENCE

Where I’ve Applied This.

APR 2025 — JUN 2025

VCODEZ

Machine Learning Intern

  • Worked in a project-based internship environment, taking an applied machine learning idea from problem framing through a usable prototype.
  • Strengthened my approach to model comparison, especially communicating why class-wise performance and trade-offs matter more than a single headline score.
  • Learned to structure experiments, document decisions, and translate model output into an interface a non-technical user could understand.
Full technical breakdown in Projects
APR 2024 — MAY 2024

COGNORISE INFOTECH

Data Analyst Intern

  • Worked independently across a series of guided analysis briefs, managing each project from data inspection to a clearly presented conclusion.
  • Built a repeatable workflow for cleaning unfamiliar datasets, asking focused questions, and selecting visuals that supported the story rather than decorating it.
  • Developed confidence in presenting findings concisely and documenting work so another analyst could follow the process.
Full technical breakdown in Projects
CREDENTIALS

Credentials & Research.

Certifications

Deloitte Data Analytics Job SimulationDeloitte · Mar 2026
Google Cloud Computing FoundationsNPTEL (SWAYAM) · Oct 2023
Introduction to MongoDB for StudentsMongoDB · Jul 2024
Python Data StructuresGreat Learning Academy · Nov 2023
Python for Data ScienceGreat Learning Academy · Nov 2023

Publications

FEB 2026

“AI in Education: An Analysis of Institutional Inequities and Sustainable Adoption”

VII International Conference on Communication, Computing and Information Technology. Co-authored with Pooja R., Sivaranjani M., and Dr. Muthakshi S. Analyzes institutional inequities and sustainability challenges in higher education AI adoption.

JAN 2026

“A Big Data–Driven Machine Learning Framework for Regional Temperature Anomaly Detection”

International Conference on Recent Trends in Computer Science, Alagappa University (ISBN: 978-93-49618-20-6). Co-authored with Divya M. and Dr. Aparna R. Proposes an unsupervised framework using ERA5 data, seasonal normalization, and PCA.

EDUCATION

Academic Foundation

B.Sc. Data Science

M.O.P. Vaishnav College for Women, ChennaiUNIVERSITY OF MADRAS
GRADUATED2026
CONTACT

Let’s Talk Data.

Open to Data Analyst and Data Scientist roles across Chennai, Bengaluru, Hyderabad, and open to relocation — always happy to connect.

EMAILktsubhasri2005@gmail.comPHONE+91 63799 42530LINKEDINConnect with meGITHUBExplore my work
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