AI / ML & Data Science · Bengaluru, India
I build systems that score, sort, and explain data.
Computer Science & Engineering undergraduate (AI & ML) with internship experience across AI/ML, data science, and business intelligence — turning messy datasets into models, dashboards, and tools people actually use.
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ATS MATCH SCORE
ResumeIQ scoring a sample resume live — the AI resume analyzer built and shipped by Charumathi.
Summary
What I do
Computer Science and Engineering undergraduate specializing in Artificial Intelligence and Machine Learning, with internship experience in AI/ML, Data Science, and Business Intelligence. Proficient in Python, SQL, Power BI, Tableau, NLP, and deep learning techniques, with hands-on project work spanning machine learning model development, model deployment pipelines, and interactive dashboard design. Experienced in ETL processes, statistical analysis, DAX, and cloud computing on Microsoft Azure and AWS, with working knowledge of MLOps practices and big data concepts. Adept at translating complex datasets into clear, insight-driven stories for stakeholders, with a strong foundation in data governance and a passion for building intelligent, scalable AI/ML solutions.
Experience
Where I've worked
Virtual Intern Ongoing
Jul 2026 – Present · Remote
Infosys Springboard Virtual Internship 7.0
- Selected for the Infosys Springboard Virtual Internship 7.0, gaining hands-on exposure to industry-aligned AI/ML projects under structured mentorship.
- Engaging in guided modules on emerging technologies and professional skill-building as part of Infosys' flagship virtual internship program.
AI/ML & Data Science Intern
Jun 2026 – Jul 2026 · Remote
CCQ Pvt. Ltd.
- Spearheaded end-to-end development of a Resume ATS Score Analysis web app using React, delivering a functional prototype within 1 month.
- Engineered NLP-based keyword extraction and ML scoring algorithms to evaluate resumes against 20+ ATS criteria, achieving reliable scoring accuracy.
- Managed the full development lifecycle independently — from requirement analysis and model integration to frontend deployment and local testing.
Data Analytics Trainee
Mar 2026 – Apr 2026 · Remote
ISM UNIV, Bengaluru · Power BI Training Program (45 Hours)
- Completed a 45-hour Business Intelligence training program covering Power BI, data modeling, and DAX calculations.
- Built 10+ DAX measures and KPIs; applied iterative Agile-style cycles to refine 3 dashboard layouts based on structured peer feedback.
Projects
Selected work
Three projects spanning applied ML, security, and business intelligence.
Jun 2026 – Present
ResumeIQ
ReactTypeScriptSupabaseGemini AITailwind
- Scores ATS compatibility 0–100 across a 9-section breakdown and flags keyword gaps by domain.
- Matches job roles by fit percentage and recommends courses from Coursera, Udemy, and edX to close gaps.
- AI section-by-section rewriter with accept/reject diffs, Google OAuth, and saved-analysis history.
Oct 2025 – Dec 2025
Phishing Website Detection
PythonScikit-learnRandom ForestSVM
- Built an ML + deep learning pipeline on 15,000+ URL records; Random Forest reached 95% accuracy on an 80/20 split.
- Engineered 30+ URL features and evaluated 3 models on precision, recall, and F1 for optimal selection.
- Documented scoring logic and output structure for real-time URL classification use cases.
Jan 2026 – Feb 2026
Social Media Analytics Dashboard
Power BIDAXETL
- Designed a 5-page Power BI dashboard analyzing engagement across 5 platforms and 1,000–5,000 rows.
- Built 10+ DAX KPIs tracking reach, engagement rate, and activity trends with 100% data traceability.
Skills & Tools
What I work with
Languages & DB
PythonJavaC/C++SQLMongoDBMySQL
BI & Data Tools
Power BITableauExcel (Advanced)ETL PipelinesDAXData Governance
ML & AI
Scikit-learnPandasNumPyMatplotlibSeabornTensorFlowDeep LearningNLP
Web & Dev Tools
ReactJavaScriptVS CodeJupyterGoogle ColabGit & GitHub
Cloud & MLOps
Microsoft Azure (AZ-900 & AI-900 — Pursuing)
AWS Cloud — Beginner
Model DeploymentMLOpsBig Data
Competencies
Business IntelligenceData WarehousingEDAFeature EngineeringData StorytellingAgile
Education
Academic background
B.E. — Computer Science & Engineering (AI & ML)
East Point College of Engineering and Technology, Bengaluru
Pre-University — PCMC
St. Joseph's Indian Composite PU College, Bengaluru
- Department Topper — Ranked 1st in CSE (AI & ML), East Point College (Ongoing)
- School Topper — Ranked 1st in 10th grade, Charan Public School
- Top 10 in Science — Pre-University level, St. Joseph's PU College (2023)
- Consistent Academic Excellence — 9.56 CGPA in Engineering & 93.16% in Pre-University
Completed
- Java Fundamentals — Oracle Academy
- Automation Pro I — Workato
- Introduction to Modern AI — Cisco
- Enterprise Design Thinking — IBM
Pursuing
- Microsoft Azure Fundamentals (AZ-900)
- Microsoft Azure AI Fundamentals (AI-900)
- AWS Cloud Practitioner Essentials (Beginner)