AI & Data Science
Student
Building Intelligent Solutions Through Data, AI & Technology.
I'm Dhuneshwaran, an AI and Data Science student passionate about data analytics, machine learning, and developing intelligent applications. I enjoy solving real-world problems through technology and transforming ideas into practical solutions.
Dhuneshwaran V
B.Tech AI & DS • 2023–2027
SIMATS Engineering College
# Authentic Data Pipeline: Preprocessing & Predictive Analytics
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestRegressor
def process_pipeline(dataset_path: str):
df = pd.read_csv(dataset_path)
df.fillna(df.median(numeric_only=True), inplace=True)
X = df.drop(columns=['target_value'])
y = df['target_value']
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.20, random_state=42
)
model = RandomForestRegressor(n_estimators=100)
model.fit(X_train, y_train)
return model-- Oracle SQL Certified Specialist: Aggregations & Windows
SELECT
p.category_name,
COUNT(o.order_id) AS total_orders,
SUM(o.quantity_kg) AS volume_kg,
ROUND(AVG(o.order_amount), 2) AS avg_ticket_value,
DENSE_RANK() OVER (ORDER BY SUM(o.order_amount) DESC) AS rank
FROM orders o
JOIN products p ON o.product_id = p.id
WHERE o.status = 'collected'
GROUP BY p.category_name
ORDER BY rank ASC;# FastAPI REST API: Real-Time AI Inference
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
app = FastAPI(title="KnoVault AI Service")
class QueryPayload(BaseModel):
query: str
context_tags: list[str]
@app.post("/api/v1/summarize")
async def generate_insights(payload: QueryPayload):
summary = await groq_ai_client.summarize(payload.query)
return {"status": "success", "summary": summary}About Me
Academic Foundation, Practical Application & Career Aspirations
Personal & Professional Profile
I am an Artificial Intelligence & Data Science undergraduate student at SIMATS Engineering College (Saveetha School of Engineering), Chennai, graduating in 2027.
My journey centers on turning data into actionable insights, designing robust machine learning pipelines, and building practical, user-centric software solutions. Rather than focusing solely on theoretical models, I prioritize applied engineering—such as developing end-to-end platforms like Ramaiah Mill (an agri-commerce operations system) and KnoVault (an AI-powered knowledge management system).
I am certified in Oracle Database SQL and Oracle Java SE 11 Developer, and have completed foundational training in Generative AI with Microsoft and LinkedIn, alongside NPTEL Elite certifications from IIT Kharagpur.
B.Tech in Artificial Intelligence & Data Science
SIMATS Engineering College (Saveetha School of Engineering). Maintaining a verified 8.85 / 10 CGPA with rigorous coursework across data structures, relational database architecture, algorithms, and applied machine learning.
R V Matriculation Higher Secondary School
Completed schooling with focused curriculum in Higher Secondary (Class XII - 2023) and Secondary (Class X - 2021) with emphasis on Mathematics, Physics, Biology, and foundational computational problem-solving.
Data Wrangling, Analytics & Visual Storytelling
Proficient in extracting and transforming raw datasets with Pandas and NumPy, querying relational schemas with SQL, and formulating interactive visual dashboards with Tableau and Power BI.
From Notebook Experiments to Working Applications
Dedicated to wrapping trained algorithms and LLM capabilities into responsive interfaces and REST APIs using FastAPI, Flask, React, and Next.js.
Internship & Early-Career Impact
Seeking internship and full-time opportunities where I can apply my data analytics, machine learning, and Python/SQL skills to real business problems and contribute to fast-moving engineering teams.
Engineering High-Reliability AI Systems
Building expertise in enterprise data infrastructure, statistical modeling, and trustworthy AI systems that deliver demonstrable value to businesses and communities.
Technical Skills
Verified Technologies, Frameworks & Tools Supported by Actual Experience
Python
Core language for data analysis, ML modeling, scripting, and backend API engineering.
SQL
Complex querying, aggregations, window functions, and database schema management.
Java
Object-oriented programming, Stream API, modular architecture, and algorithms.
Pandas & NumPy
High-performance tabular data cleaning, array computing, transformations, and aggregation.
Power BI
Business intelligence reporting, KPI dashboards, interactive filters, and data modeling.
Tableau
Visual analytics, interactive multi-chart dashboards, and hourly load pattern studies.
Matplotlib & Seaborn
Statistical charting, distribution plots, correlation heatmaps, and exploratory visualization.
Machine Learning
Regression, classification, random forests, clustering, model evaluation, and validation.
NLP & Text Processing
Text vectorization, TF-IDF representations, intent classification, and medical chatbots.
Generative AI & LLMs
Prompt engineering, LLM API integration (Groq AI), automated note summarization, and GenAI concepts.
PostgreSQL
Relational architecture, foreign keys, ACID compliance, and pooled connections with Neon.
MySQL & SQLite
Local embedded and server-based database systems for internal tools and event platforms.
FastAPI & Flask
Lightweight asynchronous and synchronous Python RESTful APIs for serving AI and application data.
Next.js & React
Modern responsive web frontends, server components, Tailwind CSS styling, and TypeScript.
React Native & Expo
Cross-platform mobile application development for personal productivity tools.
Git & GitHub
Version control, branching, repository management, collaborative workflows, and deployment.
VS Code & Colab
Development IDE environment, interactive Jupyter notebooks for experimental data analysis.
Featured Projects
Authentic Engineering Work in Artificial Intelligence, Data Analytics & Web Applications
KnoVault
AI-Powered Personal Knowledge Management System
A personal knowledge management platform designed to help users organize smart notes, voice notes, calendar reminders, birthdays, and goals with an integrated Groq AI assistant that automatically summarizes information for rapid recall.
Ramaiah Mill
Modern Agricultural E-Commerce & Operations Management
Production digital commerce and operations platform for family-owned agricultural enterprise. Features a dual purchasing engine (loose per-kg and 25/50kg bulk bags deducting from unified stock), online prebookings, Cashfree gateway, and a protected Admin Portal.
LifeFin
AI-Powered Personal Finance & FIRE Planning Platform
An intelligent personal financial analytics application helping users track discretionary vs essential expenses, simulate Financial Independence / Retire Early (FIRE) milestones, and run predictive what-if budget scenarios.
NexVue Autonomous Vision
Real-Time Hazard Detection & Road Sign Recognition
A low-latency computer vision application designed to interpret traffic signs, detect roadway obstacles, and provide instant driver hazard assessments in real time.
MedCare AI Chatbot
NLP Healthcare Assistant & Symptom Analysis
An NLP conversational assistant developed with Python, Flask, and Scikit-learn that leverages TF-IDF matrix vectorization and machine learning classifiers to assist users with preliminary symptom inquiries and triage advice.
Energy Consumption Analysis
Sustainable Resource Management & Hourly Load Patterns
An interactive Tableau analytics project tracking 8,760+ hourly data points across temperature, time, day, and load to identify energy inefficiencies and recommend conservation strategies.
Cataract Detection Study
Retinal Scan Classification Feasibility on ODIR-5K
An academic computer vision research prototype exploring retinal fundus images from the ODIR-5K dataset to investigate deep learning feasibility for preliminary ophthalmic screening.
Experience & Milestones
Verified Internships, Real Industry Projects & Technical Growth
Artificial Intelligence Intern
Infosys Springboard Internship 7.0
Contributed to the design and development of an AI-integrated event management platform using Python and Flask. Built core application modules for registration, attendee scheduling, and event coordination.
- Implemented secure user authentication and SQLite database integration for data persistence.
- Engineered RESTful API endpoints following Agile methodologies and SDLC standards.
Data Science Intern
Edu-versity
Performed end-to-end data analysis on real-world datasets and developed predictive machine learning models to generate actionable business insights.
- Handled data cleaning, missing value imputations, and feature engineering using Python, Pandas, and NumPy.
- Constructed business intelligence dashboards and data visualizations in SQL, Tableau, and Power BI for stakeholder reporting.
Data Science Intern
Extech Digital
Completed a 3-month focused internship covering full data workflows from business framing to data preparation, predictive modeling, and model evaluation.
- Developed predictive machine learning models using Python and Pandas to deliver data-backed insights.
- Earned a verified completion credential validated via Wipro DICE ID representing industry technical competency.
AI & Data Science Undergraduate Journey
SIMATS Engineering College
Consistently excelling with an 8.85 / 10 CGPA across advanced data engineering, algorithm design, relational database systems, and statistical computation coursework.
- Authored comprehensive reports on algorithm design for data analysis with NumPy, Pandas, PCA, and outlier detection.
- Earned 5 industry-recognized certifications across Oracle, Microsoft, and NPTEL.
Verified Certifications
Official Credentials & Examination Badges with Direct PDF Previews & Downloads
Education
Academic Foundation & Technical Curriculum
Bachelor of Technology
Artificial Intelligence & Data Science
Key Relevant Coursework
Schooling Education
R V Matriculation Higher Secondary School
Higher Secondary (Class XII)
Focused on Mathematics, Physics, Chemistry, and Biology, providing a deep analytical and mathematical base for computer science.
Secondary School Leaving Certificate (Class X)
Comprehensive secondary education curriculum with strong honors in science and mathematics.
Rigorous, disciplined academic track record bridging foundational sciences to modern AI engineering.
Curriculum Vitae
Recruiter-Ready Official Resume (Updated for 2026/2027 Opportunities)
Dhuneshwaran_V_Resume.pdf
Let's Connect
& Collaborate
I am currently open to Data Analyst, Data Science, and AI/ML internship or placement opportunities. Whether you have an opportunity or want to discuss data projects, feel free to reach out.
Chennai, Tamil Nadu, India
Send a Direct Message
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