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Vijay Kava. Data into decisions.

I'm a

Data Scientist and M.Tech student in Artificial Intelligence and Data Science, skilled in Python, SQL, and Machine Learning. I build data analysis, dashboarding, and machine learning projects, from data cleaning and exploratory analysis to model evaluation, turning raw datasets into clear, actionable insights.

0+ Projects
0+ Certifications
0+ Trainings
0+ Core Skills
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PythonSQLPower BIDeep LearningExcelMachine LearningStatisticsPandasNumPyScikit-learn PythonSQLPower BIDeep LearningExcelMachine LearningStatisticsPandasNumPyScikit-learn
About

A little story behind the data.

I believe every dataset hides a decision. My job is to find it — cleanly, quickly, and beautifully.

About Me

I am an M.Tech student in Artificial Intelligence and Data Science at Parul University, with a B.Tech in Information Technology. I build data analysis, dashboarding, and machine learning projects using Python and SQL, with hands-on experience in data cleaning, exploratory analysis, and model evaluation. My research focuses on rare skin lesion classification under limited labeled data, using Few-Shot Learning, Explainable AI, and Uncertainty Quantification.

  • ▸ Pursuing M.Tech in AI & Data Science at Parul University (CGPA 8.05)
  • ▸ Completed Deloitte Australia Data Analytics Job Simulation (Forage)
  • ▸ Completed 6-month Data Science Training Program at Internshala
  • ▸ Paper on Explainable AI in Clinical Decision Support Systems, PiCET 2026
Skills

Tools I use to ship insight.

A curated stack — not just what I know, but what I've shipped with.

Projects

Selected work.

Real problems, measurable impact. Every project links to code and case study.

ML Studio
PythonScikit-learnML

ML Studio — Machine Learning Model Training & Evaluation Platform

Web-based platform for classification and regression with 8 machine learning models, covering CSV upload, feature/target selection, training, evaluation, prediction, and visualization. Tested on 50+ datasets with approximately 90% average model performance and an R-squared score of 0.94 for Random Forest Regression on one test dataset.

E-Commerce Sales and Customer Behavior Analytics
PythonSQLExcel

E-Commerce Sales & Customer Behavior Analytics

Analyzed 6,699 cleaned orders across 2,400 customers, 28 cities, and 7 categories — INR 91.03 lakh in delivered revenue and 32.7% year-over-year growth. Applied quintile-based RFM scoring to segment 2,097 customers into 8 groups; 304 Champions contribute 28.5% of delivered revenue.

US Stock Market Analytics Dashboard
Power BIPythonAPI

Near-Real-Time US Stock Market Analytics Dashboard

2-page Power BI dashboard with KPI cards tracking 5 US stocks and 3 major indices (S&P 500, NASDAQ, Dow Jones). Automated data collection at 60-second intervals, integrated with Power BI through its REST API, analyzing price changes, trading volume, 52-week highs/lows, and volatility.

View All Projects on GitHub
Training

Where I've trained.

A quiet timeline of trainings, tools, and outcomes.

6 Months

Data Science Training Program

Internshala Trainings

Completed a 6-month Data Science Training Program covering Python programming, data analysis, and machine learning fundamentals. Built a practical foundation in working with data — cleaning and exploring datasets, drawing insights from them, and understanding how machine learning models are built and evaluated — which now underpins the analytics and ML projects in this portfolio.

Virtual Simulation

Data Analytics Job Simulation

Deloitte Australia · Forage

Completed Deloitte Australia's virtual Data Analytics Job Simulation on Forage, applying data analysis skills to a business-style scenario — from understanding the brief and analyzing the data to presenting insights that a business stakeholder can act on.

Certificates

Verified credentials.

Training and simulation credentials from Internshala and Deloitte Australia.

Data Science Training Program

Issued by Internshala Trainings
Data Science6 Months

Data Analytics Job Simulation

Issued by Deloitte Australia · Forage
AnalyticsVirtual
View All Certificates
Blog

Notes on data.

Long-form essays and short reads on analytics, ML, and career.

Data Analytics

From Raw Data to Real Insights: A Practical Guide

Discover how to transform messy datasets into clear, compelling stories that help business leaders make smarter, faster decisions.

9 min read·May 2025Read →
Machine Learning

Demystifying Machine Learning: Concepts Every Analyst Should Know

Break down supervised vs. unsupervised learning, model evaluation metrics, and why understanding ML is now a must-have skill.

10 min read·April 2025Read →
Power BI Tips

10 Power BI Dashboard Tips That Will Impress Any Stakeholder

Elevate your Power BI dashboards from plain to professional with these design, performance, and storytelling techniques.

8 min read·March 2025Read →
SQL

SQL Joins Explained the Visual Way

INNER, LEFT, RIGHT, FULL — a practical walkthrough of how each join actually behaves, with real query patterns you'll use daily.

7 min read·June 2025Read →
Career

Building a Career as a Data Analyst in 2026

What actually matters when breaking into analytics — the skills employers screen for, and the portfolio habits that get interviews.

8 min read·July 2025Read →
Tools

Excel vs. Python for Data Analysis: When to Use Which

Neither tool wins every time. A practical framework for deciding based on dataset size, repeatability, and who else needs to touch the file.

6 min read·August 2025Read →
Data Storytelling

Storytelling with Data: Why Context Beats Charts

A beautiful chart with no context is just decoration. How to frame numbers so stakeholders remember them past the meeting.

7 min read·September 2025Read →
Statistics

Statistics Every Data Analyst Actually Uses

You don't need a PhD in stats — you need these ten concepts, understood well enough to explain them to a non-technical stakeholder.

9 min read·October 2025Read →
Contact

Let's talk data.

I reply within 24 hours. Whether it's a role, a project, or a coffee chat.

Reach out anywhere.

Prefer email or LinkedIn — I'm most active there. Always happy to talk about analytics, ML pipelines, and career moves.

A note from me

Thanks for stopping by my portfolio! Feel free to reach out for collaborations, opportunities, or just to say hi.

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