Varun Kumar
// NAMEVARUN KUMAR R // BASELIVERPOOL, UK // STATUSSTUDENT // FOCUSDATA SCIENCE / AI
FUTURE AI ENGINEER MSc STUDENT ML · NLP · DEEP LEARNING

VARUN KUMAR

LEARNING TO BUILD INTELLIGENT SYSTEMS

MSc Data Science & Artificial Intelligence candidate at the University of Liverpool with hands-on experience in machine learning, NLP, predictive modeling, and data visualization. Presented research at a national conference. Skilled in Python, SQL, TensorFlow, and Power BI, with a track record of designing end-to-end AI solutions that deliver measurable business impact. Actively seeking challenging opportunities in Data Science and Machine Learning.

// PROJECTS
05Built
// PEAK ACC.
90%Model
// PAPERS
01National
// Primary Objective
Build a career as an AI Engineer — designing, training, and deploying intelligent systems that solve real problems.
LOCKED ON
01 / EDUCATION ACADEMIC

Education // knowledge base

University of Liverpool

MSc — Data Science & Artificial Intelligence
In Progress
United Kingdom Expected 2026

SRM Institute of Science & Technology

B.Tech — Electronics & Communication Engineering
(Specialization in Data Science)
Chennai, India 2018 – 2022
02 / TECHNICAL STACK CORE

Technical Skills // toolkit

Programming
Python SQL
ML / AI Frameworks
TensorFlow Keras Scikit-learn
Data Visualization
Power BI Tableau Matplotlib Seaborn
Libraries & Tools
Pandas NumPy Statsmodels
Soft Skills
Communication Problem-solving Collaboration Adaptability
03 / INTERNSHIP EARLY FIELD EXPERIENCE

Experience // first steps

Python Intern — Kaashiv InfoTech, Chennai
2022
  • Built automation scripts in Python, streamlining data entry tasks and improving efficiency by 30%.
  • Designed small-scale ML prototypes to analyze structured data and generate predictive insights.
  • Collaborated with senior developers to troubleshoot, debug, and optimize code.
04 / PROJECT ARCHIVE 05 ENTRIES

Projects // what I've built

01

Telecom Customer Churn Prediction

Developed a classification model (Random Forest, XGBoost) enabling proactive retention strategies for a telecom customer base.

86% accuracy
02

Plant Disease Detection

Built an image classification model using CNNs in TensorFlow, improving early diagnosis and reducing crop losses.

~90% accuracy
03

Twitter Sentiment Analysis

Applied NLP and supervised learning to classify 50,000+ tweets for brand monitoring pipelines.

82% F1-score
04

IoT-Based Air Quality Monitoring

Designed a sensor-based system integrated with ML algorithms to predict pollution levels in real time. Presented at a national conference.

~90% accuracy
05

E-commerce Customer Segmentation & Prediction

Developed clustering and predictive models (K-Means, Hierarchical) to identify high-value customer segments, boosting targeted marketing effectiveness and retention by 15–20%.

~85% accuracy
// NEXT_PROJECT
LOADING...
05 / CAREER TARGET STACK ROADMAP

What I'm Learning Next // entry-level requirements

DS-01

Entry-Level Data Scientist

Python (pandas, NumPy, scikit-learn)Core
SQL & database queryingCore
Statistics & probabilityCore
Classical ML (regression, trees, clustering)Core
Data cleaning & feature engineeringCore
Data visualization (Tableau / Power BI)Important
A/B testing & experimentationImportant
Git & GitHub workflowsImportant
Business storytelling & stakeholder commsImportant
Cloud basics (AWS / GCP / Azure)Edge
Big data (Spark, BigQuery)Edge
AI-02

Entry-Level AI Engineer

Deep learning (PyTorch / TensorFlow)Core
Transformers & LLM fundamentalsCore
Prompt engineering & RAG pipelinesCore
Vector databases (Pinecone, FAISS, Chroma)Core
API integration (OpenAI, Anthropic, Hugging Face)Core
MLOps: Docker, CI/CD, model servingImportant
FastAPI / Flask for model APIsImportant
Evaluation, monitoring & drift detectionImportant
LangChain / LlamaIndex orchestrationImportant
Fine-tuning & LoRA / PEFTEdge
Multimodal & agentic systemsEdge
06 / CREDENTIALS & RECOGNITION
// Certifications
  • Data Science & AI Certification (6 months) — Boston Institute of Analytics
  • Python for Data Science & Machine Learning
  • Deep Learning in Neural Networks & AI with ChatGPT
  • Additional workshops in Power BI, RPA, and Big Data (available upon request)
// Achievements
  • Presented IoT-based Air Quality Monitoring System at National Conference2024
  • Symposium Coordinator — Abhigyan '22, SRM University2022
  • Joint Treasurer — Rotaract Club of SRM Vadapalani2021 – 2023
// Languages
English
Full Prof.
Tamil
Native
07 / LET'S CONNECT OPEN CHANNEL
Response window < 24H

Want to connect? Click here.

Open to internships, research collaborations, entry-level roles, or a chat about AI and machine learning. Drop a line on email or LinkedIn — whichever you prefer.

// ASSISTANT B.E.R.U