Hi, I'm

Karthikeyan L

Data Analyst & ML Engineer

Pursuing M.sc Aerospace Informatics @ JMU Wuerzburg.B.Tech Computer Science (Data Analytics) graduate @ VIT-AP University
Passionate about building intelligent systems, ML models & data-driven solutions.

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Karthikeyan L

About Me

Computer Science graduate currently pursuing an M.Sc. in Aerospace Informatics at Julius-Maximilians-Universitat of Würzburg Data Scientist and skilled in Python, Machine Learning, and data-driven projects. I have hands-on experience in research, ML model development, and analytics dashboards.

B.Tech in Computer Science (Data Analytics) at VIT-AP University with a CGPA of 8.32, graduating May 2026.

2+

Internships

2

Publications

5+

Hackathon Awards

8.32

CGPA

Education

Julius-Maximilians-University of Würzburg

M.Sc — Aerospace Informatics

Oct 2026 – Oct 2028

VIT-AP University

B.Tech — Computer Science (Data Analytics)

Sept 2022 – May 2026  |  CGPA: 8.32

Experience

Research and Development Intern

Aug – Oct 2025

Intrain Tech

  • Developed an MCP client-server architecture to integrate web search, resume retrieval, and AI-powered interview preparation tools.
  • Implemented custom MCP tools for parallel web searches and ChromaDB-based resume storage and semantic retrieval.
  • Integrated Groq LLM with MCP workflows to generate personalized interview questions, study plans, coding exercises, and company insights.
View Certificate

Data Analyst Intern

June – July 2025

Sutherland Global Services

  • Developed and maintained client reports, ensuring accuracy and timely delivery.
  • Automated recurring manual reporting tasks using Python (pywin32, Flask), improving FTE ratio.
  • Collaborated with teams to automate manual work and provide data-driven insights.
View Certificate

Research & Development Intern

June – July 2024

IGCAR, Kalpakkam

  • Designed algorithms for data manipulation and processing for employee requirements.
  • Researched on fake iris detection using ML techniques.
  • Built & evaluated an ML model (iris dataset) for binary classification, contributing to applied ML research.
View Certificate View Certificate 2

Projects

F1 Australian GP 2026 Analysis

Dissecting Ferrari vs. Mercedes strategy using lap time, tyre degradation, and ERS proxy data from the 2026 Australian Grand Prix. Quantified Ferrari's 0.3–0.5s/lap tyre degradation and modelled ERS deployment efficiency under 2026's 50/50 ICE-battery regulations.

Pythonscikit-learnStreamlitFastF1PlotlyScipy

CAM Generation (AI Credit Appraisal)

Built an AI-powered Credit Appraisal Memorandum (CAM) generation system that automates credit risk assessment for banks by processing multi-source data (ITR, GST, bank statements, MCA records). Implemented a 10-section analysis pipeline with automated 5 Cs credit scoring and early warning signal monitoring across 18+ risk parameters.

PythonPandasPDFPlumberGroq APIReportLab

F1 Championship Analysis

End-to-end data science project on collection, processing, analysis, and predictive modeling of Formula 1 racing data to derive actionable insights about driver performance and championship probabilities.

PythonPandasScikit-learnHTMLData Visualization

VoiceHack

Voice-based hackathon project leveraging speech processing and NLP techniques to build an intelligent voice-driven application.

PythonJupyter NotebookNLPSpeech Processing

Hotel & Destination Recommendation System

A recommendation system UI that suggests hotels and travel destinations based on user preferences, built with a Tkinter-based interface.

PythonTkinterRecommendation SystemML

PDF Extraction & Table Parsing Tool

A utility tool for extracting text and parsing structured tables from PDF documents, enabling automated data extraction pipelines for downstream analysis.

PythonPDFPlumberData ExtractionAutomation

Customer Recency Analysis

Strategic initiative to harness customer interaction data by unlocking insights hidden within recency patterns, helping businesses cultivate a deeper understanding of their customer base.

PythonJupyter NotebookPandasData Analytics

Eye Detection System

A computer vision project designed to detect whether eyes are present in an input image using image processing and ML techniques, providing binary detection responses. Related to IGCAR fake iris detection research.

PythonOpenCVComputer VisionJupyter Notebook

Publications

IEEE

Nutrition Label Verification using OCR & ML

Combined OCR (EasyOCR) and Machine Learning (SVM classifier, Random Forest) to ensure nutrition claims made on the label are not against USDA standards.

December 2024 View Paper
IFERP

Data Augmentation Strategies on BoolQ Dataset

Evaluated data augmentation strategies on 2 architectures using the BoolQ dataset, concluding that masked model performed well considering 8 different metrics.

April 2026 View Paper

Achievements

1st Place

The Byte The Mole

Winner — September 2025, VIT-AP

Certificate
Runner Up

AIGNITE 2.0

2nd Place — January 2026, Vijayawada

Certificate
2nd Runner Up

Datathon

3rd Place — March 2025, VIT-AP

Certificate
2nd Runner Up

Pitstop AI

3rd Place — April 2025, VIT-AP

Consolation

ABHISARGA

March 2026, IIIT SRICITY

Certificate

Letters of Recommendation

Academic and professional recommendations from mentors and supervisors.

Letter of Recommendation

Recommendation from supervisor at Sutherland Global Services highlighting technical skills and work ethic.

View LOR

Letter of Recommendation

Recommendation from VIT-AP University faculty supporting academic and research contributions.

View LOR

Skills

Languages

PythonJavaRSQL

Frameworks & Libraries

FlaskFastAPIStreamlitPandas NumPyScikit-learnMatplotlibSeabornGroq

Databases & Tools

PostgreSQLMongoDBNeo4jCassandraDB Power BITableauMS Excel

Get In Touch

I'm open to internships, research collaborations, and exciting projects. Feel free to reach out!

karthikeyangowri2004@gmail.com LinkedIn Profile GitHub Profile +91-9499007118