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Hi, I'm Vansh Srivastava

I build data pipelines, interactive dashboards, and ML models that turn raw data into clear, actionable insights.

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vansh.py
from data import insights
class VanshSrivastava:
    def __init__(self):
        self.role = "Data Analyst"
        self.stack = ["Python","SQL","ML"]
    def solve(self, p):
        return p.analyze().viz()
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IPL Seasons Covered
About Me

Who I Am

A quick introduction

Vansh Srivastava

Vansh Srivastava

Data Analytics Enthusiast | B.Tech CSCE Student

Bhubaneswar, Odisha, India
KIIT University, 3rd Year
3+Projects
260K+Data Points
3rdYear

Data Analytics enthusiast and B.Tech CSCE student at KIIT University (3rd year) with hands-on experience building end-to-end data pipelines, interactive dashboards, and ML models. Proficient in Python, SQL, and Streamlit with multiple deployed projects including a full-scale IPL Analytics platform covering 260,000+ data points. Currently seeking internship and full-time opportunities in Data Analytics, Machine Learning, and Software Development.

Currently seeking: Internships and full-time opportunities in Data Analytics, Machine Learning, and Software Development.

Emailvansh23srivastava@gmail.com
Phone+91 83540 97765
LinkedInvanshsrivastava09
Connect on LinkedIn GitHub
My Arsenal

Technical Skills

Tools and technologies I work with

Languages

PythonSQLJavaC

Data Analysis

PandasNumPyMatplotlibPlotlyEDAData CleaningKPI Analysis

Machine Learning

Scikit-LearnRandom ForestClassificationFeature EngineeringLabel Encoding

Databases

SQLiteMySQLSQL QueryingJoinsAggregations

Tools & Frameworks

Jupyter NotebookGitGitHubVS CodeStreamlitFlask

Soft Skills

Analytical ThinkingProblem SolvingTeam CollaborationLogical Reasoning
Featured Work

Projects

End-to-end data projects deployed live

PythonPandasSQLiteScikit-learn

IPL Cricket Analytics Dashboard & Match Predictor

Python, Pandas, SQLite, Scikit-learn, Plotly, Streamlit

  • Built an end-to-end analytics platform on 260,920 rows of IPL data (2008–2024) across 1,095 matches and 17 seasons.
  • Designed a SQLite database with 15+ SQL queries for insights on team performance, top scorers, wicket takers, and toss trends.
  • Implemented a Random Forest ML model to predict match winners using toss, venue, and team features.
  • Built an interactive Streamlit dashboard with season filters, KPI cards, and 6 dynamic Plotly visualizations.
Live Demo Code
PythonPandasPlotlyStreamlit

E-commerce Sales Analytics Dashboard

Python, Pandas, Streamlit, Plotly

  • Developed an interactive KPI dashboard analyzing revenue trends, profit margins, and customer segmentation for e-commerce sales.
  • Implemented dynamic date-range filtering and sales forecasting via regression.
  • Deployed on Streamlit Cloud with real-time filtering for a responsive user experience.
Live Demo Code
PythonRegexStreamlitSecurity

Password Security Analyzer

Python, Regex, Streamlit

  • Built a password strength scoring tool using entropy calculation and regex-based pattern analysis.
  • Detected weak and commonly used passwords with secure password generator features.
  • Deployed as a web app on Streamlit with configurable complexity rules.
Live Demo Code
Open Source

All Repositories

Every project on my GitHub

Cricket-Analytics
1

IPL Cricket Analytics Dashboard & Match Predictor with 260K+ data points, ML predictions, and interactive visualizations.

Python
3054 KB
PythonPandasSQLiteScikit-learnPlotlyStreamlit
Ecommerce-Sales-Dashboard
1

Premium E-commerce Sales Analytics Dashboard using Streamlit, Pandas & Plotly with real-time filtering and insights.

Python
478 KB
PythonPandasPlotlyStreamlit
Password-Security-Web-App
1

Password strength analyzer and secure password generator built with Streamlit.

Python
3 KB
PythonRegexStreamlit
Mindscape
1

A Python project exploring data-driven insights and analytics.

Python
33 KB
Python
-SAP-O2C-Capstone-Vansh
1

SAP Order-to-Cash (O2C) process capstone project.

Docs
194 KB
SAPCapstone
Spendora
1

Every expense hides a story — Spendora uncovers it and turns paradox into clarity. AI-powered finance coach.

Docs
220 KB
FinanceAIHackathon
Vanshsrivastava09
1

GitHub profile README — showcasing my journey in Data Science.

Docs
6 KB
ProfileGitHub
View All on GitHub
Academic

Education

My academic background

Aug 2023 – Present

B.Tech in Computer Science and Communication Engineering

Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha

Pursuing B.Tech in CSCE with focus on data analytics, machine learning and software development. Active participant in hackathons and technical events.

2022 – 2023

Science Stream (Physics, Chemistry, Mathematics)

Senior Secondary Education (Class XII) – CBSE Board

Completed higher secondary education with Science stream.

Beyond Code

Achievements & Certifications

Recognition and continuous learning

Achievements

Special Mention – Pandora's Paradox Hackathon, KIIT E-CELL Emerald Empire E-Summit 2024.

Built Spendora, an AI-powered finance coach web app, as part of Team ParaX.

3 independently deployed data science projects with live public URLs.

Certifications

Business Analytics for Decision Making

University of Colorado Boulder | Coursera · Feb 2026

Business for Good: Fundamentals of Corporate Responsibility

London Business School | Coursera · Feb 2026

I'm Currently Available for Work

Actively looking for internships and entry-level roles in Data Analytics, Machine Learning, and Software Development.

Contact Me LinkedIn
Get In Touch

Contact

Let's discuss how I can add value to your team

Direct contact

Reach out anytime — I reply within 24 hours.

LocationBhubaneswar, Odisha, India