IPL Data Analysis
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Summary
Developed an interactive cricket statistics dashboard using Power BI, covering IPL data from 2008 to 2025 to visualize player performance, team analysis, and match trends.
Highly analytical and results-driven M.Sc. candidate in Mathematics and Computing with a strong foundation in machine learning, data analysis, and quantitative methods. Proven ability to develop predictive models, extract actionable insights from complex datasets, and create interactive data visualizations to drive informed decision-making. Eager to apply advanced analytical skills and technical expertise to challenging data science or machine learning roles.
Summer Research Intern
Jodhpur, Rajasthan, India
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Summary
Led a research project to enhance the traditional PageRank algorithm by using a supervised neural network for predicting node importance within complex networks.
Highlights
Enhanced the traditional PageRank algorithm by integrating a supervised neural network, improving node importance prediction within complex networks.
Developed and trained a custom model on climate change data from Gujarat, India, leveraging 11 engineered features to capture granular node influence beyond basic connections.
Identified critical 'high-impact' environmental nodes, such as CO2 and energy consumption, more accurately than traditional methods, providing insightful analysis for complex real-world systems.
Prioritized environmental factors like CO2 and energy consumption by incorporating real-world features, elevating their importance in environmental analysis compared to traditional algorithmic outputs.
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M.Sc.
Mathematics and Computing
Grade: 7.35 CGPA (Till Second Sem)
Courses
Probability & Statistics
Linear Algebra
Data Structure & Algorithms
Optimization Techniques
Ordinary Differential Equation
Database Management System
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B.Sc.
Mathematics, Physics, Chemistry
Grade: 8.35 CGPA
Awarded By
IIT Madras
Successfully qualified for the highly competitive IIT Joint Admission Test for M.Sc. (JAM), conducted by IIT Madras.
Awarded By
UP Board
Achieved a ranking within the top 1% of students in Class XII under the Uttar Pradesh Board, demonstrating exceptional academic performance.
Awarded By
Department of Science & Technology (DST)
Awarded the prestigious DST-INSPIRE Scholarship, recognizing academic excellence and potential in scientific research.
Python, C, MySQL.
Power BI, Data Visualization, Business Intelligence, Dashboard Development, SQL, Statistical Analysis.
Supervised Neural Networks, PageRank Algorithm, Predictive Modeling, Feature Engineering, Complex Network Analysis.
MySQL, Database Systems, Data Extraction, Data Modeling.
Analytical Thinking, Problem Solving, Quantitative Methods, Research Methodologies.
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Summary
Developed an interactive cricket statistics dashboard using Power BI, covering IPL data from 2008 to 2025 to visualize player performance, team analysis, and match trends.
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Summary
Created a comprehensive Power BI dashboard for mobile sales performance, providing insights into revenue, units sold, profit margins, and market trends.