Available Spring 2026 · London & Europe

Arvinth
Srinivasasekar

MS Data Science student at King's College London, building intelligent systems that turn complex data into actionable insight. Passionate about using code to solve real-world problems — from predicting health risks to forecasting renewable energy.

View Projects Contact Me GitHub

5+

Technical Projects

4

Certifications

3

Languages Spoken

95%

Best Model Accuracy

About Me

Curious, collaborative, and committed to writing code that matters.

# who_am_i.py

class DataScientist:
  def __init__(self):
    self.name = "Arvinth Srinivasasekar"
    self.education = "MS Data Science, KCL"
    self.location = "London, UK"
    self.languages = ["Python", "SQL", "MATLAB"]
    self.interests = [
      "Competition Economics",
      "NLP & Text Analysis",
      "Data Pipelines",
      "ML for Regulatory Analysis"
    ]

  def solve(self, problem):
    return self.think(problem)
        .wrangle_data()
        .build_model()
        .ship_it() # 🚀

I'm a data scientist who loves turning messy, complex datasets into clear, evidence-based answers. My Master's at King's College London deepened my expertise in machine learning, statistical modelling, and big data analytics — building on a strong foundation from my B.Tech in Computer Science at VIT.

What drives me is the intersection of data and real-world impact. Whether it's building neural networks to predict health outcomes, engineering ensemble models for energy forecasting, or developing blockchain systems for secure governance — I'm most engaged when my code solves genuine problems.

Why I'm excited about economic consulting

The challenge of analysing transaction records, pricing data, and market structures to answer questions like "Is this merger good for consumers?" — that's exactly the kind of puzzle I want to solve. I thrive in collaborative environments where curiosity is valued and fresh ideas matter.

🧠

Analytical Thinker

Data-driven problem solving with statistical rigour

🤝

Team Player

Led teams of 3-5 across multiple projects

🚀

Fast Learner

International research at NUS and NTU

💬

Clear Communicator

Best Presenter award at NTU Singapore

Technical Skills

Tools and technologies I use to deliver data-driven solutions.

⌨️

Programming & Data

Python Advanced

SQL Advanced

Pandas / NumPy Advanced

MATLAB Intermediate

Scikit-learn ETL Data Pipelines VBA

🤖

Machine Learning & AI

TensorFlow / Keras Advanced

NLP & Text Analysis Intermediate

Deep Learning (ANN/CNN/RNN) Advanced

Ensemble Methods Advanced

PyTorch Transformers XGBoost SVM

📊

Visualisation & Analytics

Power BI Advanced

Matplotlib / Seaborn Advanced

Tableau Intermediate

Bloomberg Terminal Familiar

Statistical Analysis Hypothesis Testing

☁️

Cloud & DevOps

Microsoft Azure Intermediate

Git / Version Control Advanced

CI/CD & MLOps Intermediate

APIs & Web Development Intermediate

IBM Watson Azure ML Apache Spark

Featured Projects

Real things I've built — from neural networks to blockchain systems.

🖐️

Dec 2023 – Apr 2024

Gesture & Voice Recognition Control System

Led a team of 4 to build a real-time gesture and voice recognition system for accessibility applications — combining computer vision and NLP.

Achieved 92% real-time accuracy on gesture classification
Improved model responsiveness by 25% through data augmentation and hyperparameter tuning
Integrated NLP-based speech recognition processing 50+ unique voice commands

Python TensorFlow OpenCV NLP Deep Learning

🏥

Aug – Dec 2024

Diabetes Risk Assessment — ANN Model

Engineered an artificial neural network to predict diabetes risk from patient health data, supporting early detection and preventive healthcare.

87% prediction accuracy on a 10,000+ patient dataset
Feature selection and normalization pipelines improved performance by 15%
Cross-validation and confusion matrix analysis for fine-tuned thresholds

TensorFlow Scikit-learn Pandas NumPy ANN

🗳️

Nov 2024

Blockchain Voting System

End-to-end blockchain voting prototype for secure, tamper-proof elections — demonstrated at the Tamil Nadu Government Academic Conference.

Reduced transaction validation time by 20% with optimized smart contracts
Built on Ethereum testnet with full transparency and auditability
Directed team of 5 through agile sprints with 100% milestone completion

Blockchain Ethereum Smart Contracts Agile

☀️

Dec 2024 – Mar 2025

Solar Power Forecasting — Stacking Ensemble

Research project combining GRNN, ENN, and BPN networks into a stacking ensemble for high-accuracy solar power generation forecasting.

95% forecasting accuracy over 3 years of time-series data
18% improvement in predictive stability vs single-model baselines
Led 3-person team to build reproducible forecasting pipelines

Python MATLAB Ensemble ML Time Series Research

Experience & Education

My journey from engineering fundamentals to data science research.

Education

Master of Science in Data Science

King's College London

September 2025 – Present · London, UK

Specialising in advanced machine learning, big data analytics, and statistical modelling
Deepening expertise in NLP, deep learning architectures, and cloud-based ML deployment

Work Experience

Data Analytics Intern

Arus Info Pvt Ltd

November 2023 – December 2023 · Bangalore, India

Automated 5+ manual reporting workflows using Power BI and Excel, reducing processing time by 30%
Developed VBA and Python automation scripts that cut repetitive data entry by 40%
Collaborated across a 5-member analytics team for faster report turnaround and improved data accuracy

Education

B.Tech in Computer Science & Engineering

Vellore Institute of Technology (VIT)

June 2021 – May 2025 · Vellore, India

IoT Specialization · CGPA: 8.35/10.0
Strong foundation in data structures, programming, AI/ML, and neural networks
Active in technical clubs, hackathons, and leadership roles

Certifications & Awards

Continuous learning through international programs and industry certifications.

🎓

AI-Powered Business Analytics

National University of Singapore (NUS)

July 2023

🧠

Introduction to Artificial Intelligence

Nanyang Technological University (NTU)

March 2023

📈

Data Analytics Externship

IBM

December 2022

🏆

Best Presenter Award

Nanyang Technological University (NTU)

March 2023 · AI Presentation

Let's Connect

Interested in working together? I'd love to hear from you.

Get in Touch

I'm actively looking for a Graduate Data Scientist role starting Spring 2026. Whether you have a question, want to discuss a project, or just want to say hello — my inbox is always open.

Email

Click to reveal

Phone