Data analysis projects by students and freshers

Data analysis builders and their projects

• CareProof Hospital-Grade at Home Index

  Hospital-grade at home means a score of at least 90 and a pass on every safety gate. In the pilot, 94 still failed.

  +1 more Data analysis project

  Soumya Ranjan MaharanaLakshya Institute of Technology

• RAKSHAK+

  SAFETY , THAT MATTERS THE MOST

  Bishesh Singh ChauhanAbes Engineering College

• MethaneGuard AI

  AI-powered methane leak detection and risk prioritization for faster environmental inspections.

  +2 more Data analysis projects

  Tasleem BegumSd signodia college of arts and commerce pg centre (osmania University

• MethaneGuard - Physics-Informed AI for Methane Leak Detection & Prioritization

  AI that finds methane plumes in satellite imagery, measures each leak in kg/hr, and ranks them so inspection crews fix the worst first.

  PREETANSH DEVPURANirma University

• IPL Analytics Dashboard

  Built an interactive Tableau dashboard analyzing toss win rates, scoring phases, and top IPL performers from ball-by-ball data.

  Shreya VenkatesanEaswari Engineering College

• BudgetBuddy – Student Expense Tracker

  Know Where Every Rupee Goes, Build Better Financial Habits.

  Srivalli KatyayaniVignans Foundation for Science Technology and Research

• Student Expense Tracker

  Developed a Python-based Student Expense Tracker to manage expenses, calculate total spending, and analyze spending categories.

  Subhashree JenaNIIS Group of Institutions

• IPL Match Momentum Analysis (2020–2024): What Truly Decides Victory?

  Toss advantage creates perception, middle overs create control, and death overs create opportunities for comebacks.

  Shaswat HotaVeer Surendra Sai University of Technology, Burla

• IPL CRUNCH '26 - Backed by 289,673 Balls of Data

  Analyzed 289,673 IPL deliveries across 19 seasons to prove the toss is statistically irrelevant,while middle-over execution (+7.5 runs) is the real match winner

  AdityaInternational Institute of Information Technology Bangalore

• ipl data analysis

  Toss winners win just 51.5% of matches and Death overs playes crucial role in win

  VPvedang patelMadhuben & Bhanubhai Patel Institute of Technology

• SpendSense AI – Offline Student Expense Intelligence System

  Built an AI-powered offline expense tracker that helps students analyze spending, forecast budgets, and improve financial health without cloud dependency.

  Yoga prabu EPrathyusha Engineering College

• Student Expense Tracker CLI – Budget & Spending Analytics for College Students

  Reduced manual expense tracking with automated spending summaries and budget monitoring.

  S TrinainiMohan Babu University

• PL Crunch'26: Deconstructing the Anatomy of a Victor

  Disprove the 'toss advantage' myth (50.4% vs 49.6% win rate), identifying middle-over run-rate differentials as the primary statistical driver of T20 victory.

  ADITYA PRASADMaulana Azad National Institute of Technology Bhopal

• IPL Crunch 26 — What Actually Wins IPL Matches?

  Analyzed 289k+ ball-by-ball IPL deliveries to challenge common match-winner assumptions and show that middle-over momentum matters more than toss advantage.

  AribAsimNetaji Subhas University

• IPL Analytics Dashboard -> Advanced Cricket Intelligence & Performance Visualization

  Built a premium analytics dashboard for the Indian Premier League (IPL) that uncovers toss impact, match-winning phases, batting dominance, bowling efficiency,

  V C Premchand YadavVit-ap University

• IPL Crunch '26: Data-Driven Analysis of IPL Trends and Team Performance

  Analyzed IPL match data using Python to uncover trends in toss impact, venue scoring, powerplay dominance, recovery ability, and team performance.

  Himanshi JainMody University of Science and Technology

• IPL SixSense Analytics

  Analysed 289K IPL deliveries to bust the toss myth, decode phase-wise winning patterns, and rank all-time top performers — with a live Streamlit dashboard.

  Harini NagarajanAmrita Vishwa Vidyapeetham

• IPL Match Insights Using Python and Data Visualization

  Toss-winning teams secured 53.1% of the matches, highlighting a significant advantage in match outcomes.

  Khushboo AroraChandigarh Engineering College-cgc, Landran, Mohali

• IPL Insights Dashboard

  Able to identify match win percentage based on number of runs scored in powerplay

  Mohammad IrfanNational Institute of Technology Warangal

• MemoryVerse AI '26

  Roopesh G AVellore Institute of Technology

• MemoryVerse AI '26 AI POWERED DIGITAL IDENTITY SYSTEM

  Built for MemoryVerse AI '26

  PBPradeepa BV.s.b. Engineering College

• glitzmagazines.in — Architectural & Interior Publishing Platform

  Akaash JaiswalStanford University

• IPL Match Intelligence: Data-Driven Analysis of Winning Patterns in T20 Cricket

  Analyzed 200K+ IPL ball-by-ball records to uncover how death-over performance, batting consistency, and venue conditions influence match victories.

  SwayamGandhi Engineering College

• IPL Crunch '26 — Ball-by-Ball Data Analytics · 289,673 Deliveries

  Proved that field-first win rate collapsed from 65% to 43% as adoption hit 80% — and built 3 ML models confirming middle overs as the #1 match predictor

  garvit agrawalChandigarh University

• StatShot: Turning IPL Data into a Winning Strategy Engine

  Analyzed 289,673 ball by ball events to prove that +7.79 middle over run dominance is the strongest predictor of IPL match victory, outperforming toss advantage

  Yokash HVellore Institute of Technology

• IPL DATA ANALYSIS (2023-2026)

  An interactive IPL analytics dashboard built using ball-by-ball data (2023–2026) that delivers deep insights into players, teams and venues

  PAPriyam AggarwalIndian Institute of Technology Mandi

• IPL Data Analysis 2015–2019: Python, Pandas & 70K+ Ball-by-Ball Records

  5 seasons. 70,208 balls. One finding — the toss barely matters, the middle overs do.

  Shriyans RajDelhi School of Excellence

• IPL Match Intelligence Dashboard | IPL Crunch ’26 Hackathon

  Analyzed 5 IPL seasons using Python & Power BI to uncover how death-over execution and bowling pressure influence match victories more than toss outcomes.

  Yobin BangeraMahindra University

• IPL Crunch ’26 – Data Analytics Project

  Analyzed 291K+ IPL ball-by-ball records using Python, Pandas, and data visualization techniques to uncover winning patterns, batting trends, bowling impact, and

  Janani SDr. SNS Rajalakshmi College of Arts and Science

• IPL CRUNCH '26

  Data-Driven Insights into IPL Match Strategies and Performance

  TARUNIKAPSG Institute of Technology and Applied Research

• IPL Crunch ’26 Analytics Dashboard

  Processed 289K+ IPL deliveries across 1200+ matches to uncover tactical match-winning insights using Python analytics.

  ISHU MITTALGraphic Era Hill University

• IPL Crunch'26

  The middle overs showed a larger difference in average runs between winning and losing teams, suggesting matches are often controlled in this phase of the game.

  Aved DebbarmaOsmania University

• IPL 2026 Ball-by-Ball Match Intelligence & Performance Analytics

  Analyzed 289K+ deliveries to surface toss impact, phase dominance & player rankings across IPL seasons

  Ishita RathiProf. Ram Meghe Institute of Technology and Research

• IPL DATA ANALYSIS

  analyze IPL match data and identify meaningful trends related to team performance, scoring phases, batting consistency, bowling impact, and match-winning factor

  Pavithra. G.PGandhi Institute of Technology and Management Gitam Off Campus Bengaluru

• IPL Data Analysis

  The project successfully transformed raw IPL data into an interactive analytics dashboard that uncovers batting trends, bowling performance, match-winning patte

  animesh JainIIIT Bhagalpur

• IPL DATA ANALYSIS (2008-2026)

  Toss Winner has no advantage in Match Winning [51.49% Win & 49.5% Loss].

  Mehul BalsaraLaxmi Institute of Technology, Sarigam

• IPL Data Analysis

  Data has been cleaned and all questions has been answered

  Antra SinghChhattisgarh Swami Vivekanad Technical Universty

• ipl data analysis

  Winning the toss had almost no effect on match results, while strong performance in the middle overs was the clearest indicator of victory.

  vaibhav tripathyIilm University

• IPL Crunch

  Uncovered match-winning patterns, player performance trends, toss impact, phase dominance, and hidden insights through comprehensive IPL data analytics.

  Eswar Balaji KareAmrita Vishwa Vidyapeetham

• Decoding IPL Match Outcomes through Data Analytics

  Toss Impact: Winning the toss had almost no effect on overall match outcomes. Match Phases: Strong performance in the death overs showed the highest connection

  RACHAGOLLA PRANAVRajiv Gandhi Institute of Petroleum Technology

• IPL Crunch 2026: Data-Driven Match Insights and Performance Analysis

  Analyzed IPL match data using Python to uncover toss impact, phase-wise winning patterns, and top player performance through visualization and EDA.

  Nandini DhaliaKalindi College, University of Delhi

• IPL Data Analytics 2008-2026 — Analysed 293,308 Deliveries to Find What Really Wins Matches

  Death overs score highest runs per ball — brutal hitting in overs 16-20 decides every IPL match

  Pradeep Marinedikl_university

• IPL Match Insights Using Ball-by-Ball Data Analysis

  Analyzed IPL ball-by-ball data to uncover how toss decisions, match phases, and player performances impact winning outcomes.

  devikaap7Amrita Vishwa Vidyapeetham

• Startup Growth Analytics: Exploring Patterns of Success in Indian Startups

  Objective: Analyze real-world Indian startup funding data to uncover factors that drive startup growth and early success. Dataset Used: Indian Startups Funding Dataset (2015-2024) - includes information on startup name, industry, city, funding amount, investors, and investment type. Tools & Techni

  karan shelkeSanjivani College of Engineering Kopargaon

• IPL CRUNCH '26: A Ball-by-Ball Data Analytics Report

  V Sachien NataraajanMIT Manipal

• Smart City Data Project - Air Pollution Forecasting for Delhi

  Pradeep VajjaR.V.R & J.C College Of Engineering

• IPL Data Analytics Challenge

  Ayush KumarDr. B.c. Roy Engineering College, Durgapur

• IPL MATCH INTELLIGENCE SYSTEM

  PALLAVIIndian Institute of Technology Roorkee