KKKanthi Kumar Kattupalli

Hyderabad, India · Professional portfolio

Kanthi Kumar
Kattupalli.

Building software.
Making data meaningful.

I work across Android development, data analytics, and cognitive technology research. My experience connects mobile applications and immersive systems with statistical analysis and clear, useful reporting.

Explore my workGet in touch
Android & mobile systemsData pipelines & visualizationApplied AI & cognitive technology

01 / Selected work

Systems that connect
data and people.

Practical development and analysis, grounded in research and business questions.

Featured project · Research & software

CogTrack

Cognitive assessment & tracking platform

Built an Android application for longitudinal cognitive performance tracking, connecting game outputs to dashboards and interpretable reports.

  • Implemented dashboards for memory, attention, navigation, and motor skills using Java, Firebase, and MPAndroidChart.
  • Processed raw JSON data into cognitive metrics and developed Python pipelines for longitudinal analysis.
  • Integrated LLM summarization to translate quantitative scores into readable cognitive reports.
  • Contributed to embedding Unity in native Android and communication between the two environments.
Android / JavaFirebasePythonGemini / Gemma
Read the coauthored publication

Workflow

01
Collect

VR/AR & mobile game outputs

02
Process

JSON data, cognitive metrics & statistical analysis

03
Interpret

Longitudinal dashboards & structured reports

A research proof of concept for cognitive tracking.

MCA major project

Business Intelligence Dashboard

Developed interactive supermarket sales dashboards with ETL pipelines, data models, KPIs, and DAX. Used Power BI Key Influencers and decomposition trees to explore the data.

Power BISQLPower QueryDAX
Academic presentation

AI in Education

Analyzed IoT-based EEG systems for attention tracking and predictive analytics, alongside privacy, governance, and data security considerations in AI-enabled learning.

Research analysisAI ethicsEEG systems
B.Com project

Tesla Product Mix Analysis

Conducted financial and market analysis, modeling supply and demand trends through linear projections and probability-based forecasting.

Financial analysisForecasting

02 / Experience

A multidisciplinary
professional foundation.

July 2023 – June 2026

Project Associate II

IBRAIN Lab · BITS Pilani Goa Campus

Developed cognitive tracking software and analytics in collaboration with a computational neuroscientist, PhD researcher, interns, and developers.

Development & reporting

Android dashboards, Unity integration, Power BI and Looker Studio reporting, and LLM-based cognitive report pipelines.

Analysis & experimental support

Distribution analysis, variance estimation, cohort comparisons, and age-group score comparisons. Conducted baseline assessments with 5–10 participants under consent protocols and assisted with EmotivPRO EEG participant setup and data acquisition.

Also supported Unity UI scripting, scene setup, integration testing, and hands-on evaluation on Meta Quest 2; contributed to methodology design and literature review.

May – July 2022

Associate Intern

CloudScouts Technologies

Trained in analytics, business intelligence, and enterprise performance management; developed dashboards and reports using Power BI, SAP Analytics Cloud, and CCH Tagetik.

July 2018 – October 2019

Senior Assistant — Accounts Receivable

Dell Technologies

Managed multi-state tax exemption processes, financial reporting, and customer care, using Excel and internal tools.

November 2017 – January 2018

HR Recruiter

Right Place Consultancy Services

Sourced and screened IT and ITES candidates, coordinated client interviews, and supported interview preparation and follow-ups.

03 / Research direction

Technology for
human-centered questions.

I am exploring PhD opportunities in applied AI/ML, digital health, data science, and statistical modeling.

Peer-reviewed publication · Coauthor

CogTrack: A Proof of Concept for Cognition Tracker

Yesoda Bhargava, Kanthi Kumar Kattupalli & Veeky Baths

IEEE Access · Volume 12 · 194609–194629 · 2024

View publicationLab publication record
01

Applied AI & machine learning

Interest in applying computational methods to practical problems, informed by experience integrating LLMs into reporting workflows.

02

Digital health

Interest in technology-enabled interventions and cognitive tracking, connecting mobile and immersive systems with human-subject research.

03

Data science & statistical modeling

Interest in reproducible analysis of longitudinal data, behavioral metrics, and comparisons across cohorts.

Tools & methods

Technical toolkit

Software

Java · Android (Java/XML) · Unity C# · C · C++ · Node.js / JavaScript · Blender

Data & analytics

Python · SQL · NoSQL · Power BI · Excel · Power Query · Weka · Looker Studio · MPAndroidChart

Platforms & workflows

Firebase Authentication, Realtime Database & Cloud Functions · Gemini API · LLM integration & prompt design · ETL · Statistical analysis

Education

Academic foundation

2022

Master of Computer Applications

Loyola Academy · Hyderabad
CGPA 7.6

2018

Bachelor of Commerce (Honors)

Badruka College of Commerce and Arts · Hyderabad
72%

Let's connect

Software, analytics,
and the next research question.

I welcome conversations about professional opportunities and potential PhD supervision.