Available for Opportunities

Hi, I'm Lakshmi Kanth V

I'm a |

I transform raw data into actionable insights that drive business decisions. With expertise in Python, SQL, and visualization tools, I bridge the gap between complex data and clear narratives.

0+ Projects Delivered
0+ Tools Mastered
0 Certifications
insights.py
import pandas as pd
import numpy as np

# Load & clean data
df = pd.read_csv("raw_data.csv")
df = df.dropna().reset_index()

# Extract insights
insights = df.groupby("category")
    .agg({"revenue": "sum"})
    .sort_values(ascending=False)

print("✅ Analysis complete!")
# → 23% revenue increase
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Bridging Data & Decisions

I'm a Computer Science graduate specializing in Data Science from VISTAS, Chennai. I don't just analyze data — I tell its story.

My approach combines rigorous analytical methodology with clear, stakeholder-friendly communication. Whether it's uncovering hidden patterns in healthcare data, automating reporting workflows, or designing interactive dashboards, I focus on delivering insights that matter.

I believe the best analysis isn't just accurate — it's understandable. Every visualization I create, every insight I present, is crafted to help decision-makers act with confidence.

🎯

Results-Driven

Every analysis starts with a business question and ends with actionable recommendations.

🧠

Analytical Thinker

Strong foundation in EDA, statistical analysis, and data-driven problem solving.

📊

Clear Communicator

I translate complex data findings into narratives that non-technical stakeholders understand.

Quick Facts

  • NameLakshmi Kanth V
  • LocationChennai, India
  • DegreeB.Tech CSE (Data Science)
  • UniversityVISTAS
  • CGPA7.66 / 10
  • StatusImmediate Joiner

Case Studies

End-to-end projects showcasing my analytical process — from problem definition to measurable outcomes.

01
Machine Learning NLP Healthcare

AI Health Sync — Smart Medical Chatbot

Final Year Project • End-to-End ML Pipeline

❓

The Problem

Patients struggle to quickly understand symptoms and find the right specialist. Miscommunication and delayed consultations lead to poor health outcomes, especially in areas with limited access to healthcare professionals.

📂

Data & Approach

Curated symptom-disease datasets and applied NLP to map natural language descriptions to medical conditions. Built a Machine Learning classification model to predict likely conditions from user-reported symptoms.

🔧

Tools & Tech

PythonMachine LearningNLPGoogle ColabNgrok
💡

Key Insights

Symptom combinations had higher prediction accuracy than individual symptoms. Users preferred conversational interfaces over form-based input, increasing engagement by an estimated 40%.

📈

Outcome

Deployed a real-time medical chatbot with integrated doctor appointment booking. Enhanced healthcare accessibility through a simple, user-friendly interface that bridges patients and specialists.

02
Web Scraping Automation Python

Wikipedia Web Scraping & Automated Email System

Personal Project • Data Pipeline Automation

❓

The Problem

Manually gathering, formatting, and distributing research summaries is time-consuming and error-prone. Teams needed a way to automatically receive curated topic summaries without manual intervention.

📂

Data & Approach

Leveraged Wikipedia's API and HTML scraping to extract structured summaries. Applied data cleaning with Pandas to format unstructured content into readable, email-friendly reports.

🔧

Tools & Tech

PythonBeautifulSoupRequestsPandasSMTP
💡

Key Insights

Automated pipelines eliminated 100% of manual copy-paste work. Structured data cleaning was critical — raw HTML contained inconsistent formatting that would break email rendering.

📈

Outcome

Built a fully automated end-to-end pipeline: topic input → scraping → cleaning → formatted email delivery via Gmail SMTP. Reduced research reporting time from hours to seconds.

03
SQL Database Design Internship

IT Asset Inventory Management System

Internship Project • SQL Database Design

❓

The Problem

The organization lacked a structured system to track IT assets (laptops, monitors, peripherals), leading to asset losses, unaccounted inventory, and poor visibility for management decisions.

📂

Data & Approach

Designed a relational database schema from scratch with normalized tables for assets, assignments, and maintenance history. Created SQL queries for tracking, reporting, and performance analysis.

🔧

Tools & Tech

SQLMySQLDatabase DesignData Reporting
💡

Key Insights

Discovered that 15% of assets had no tracking record. Proper categorization and assignment tracking revealed utilization patterns that enabled better procurement planning.

📈

Outcome

Improved asset tracking efficiency, reduced losses, and delivered management performance reports that enhanced team communication and data-driven procurement decisions.

Skills & Tech Stack

🐍

Programming & Querying

Python
SQL / MySQL
📊

Analytics & BI Tools

Excel
Power BI
Tableau
Google Sheets
📦

Python Libraries

Pandas
NumPy
Matplotlib
BeautifulSoup
🔍

Analysis Techniques

Data Cleaning
EDA
Visualization
Web Scraping
⚙️

Dev Tools

VS Code
Google Colab
PyCharm
API Integration
🤝

Soft Skills

Analytical Thinking
Attention to Detail
Team Collaboration
Time Management

Professional Journey

Internship

SQL Database Management Intern

  • Designed an IT Asset Inventory System using SQL for real-time asset tracking
  • Improved tracking efficiency and reduced asset losses through structured database design
  • Built performance tracking reports supporting management decision-making
  • Enhanced team communication with data-driven insights and reporting workflows
Jan 2026 — Simulation

Tata Group — Data Analytics Job Simulation

Tata iQ Financial Services (via Forage)

  • Performed EDA using GenAI tools to assess data quality and identify risk indicators
  • Developed no-code predictive models incorporating ethical AI principles
  • Created AI-driven collections strategy with automation and regulatory compliance
EDAGenAI AnalyticsRisk AnalysisPredictive Modeling
Dec 2025 — Simulation

Deloitte Australia — Data Analytics Job Simulation

Deloitte Forensic Technology (via Forage)

  • Completed data analysis and forensic technology simulation
  • Created interactive data dashboards using Tableau
  • Used Excel to classify data patterns and draw business conclusions
TableauExcelData ClassificationDashboarding

Certifications & Education

🏆

Tata Group — Data Analytics

Forage Job Simulation • January 2026

AI-powered data analytics for Financial Services — EDA, GenAI, Risk Analysis, Predictive Modeling

🏆

Deloitte Australia — Data Analytics

Forage Job Simulation • December 2025

Data analysis and forensic technology — Tableau dashboards, Excel data classification, business insights

Education

B.Tech — CSE (Data Science)
VISTAS, Chennai • 2025
CGPA: 7.66 / 10
Higher Secondary (12th)
St. Joseph's MHSS • 2021
82.83%
Secondary (10th)
St. Joseph's MHSS • 2019
78.8%

Let's Work Together

I'm actively looking for Data Analyst opportunities. If you're hiring or want to collaborate, I'd love to hear from you.