Hello, I'm Arshi Bansal
I specialize in data analysis, machine learning, and predictive modeling to uncover patterns and generate insights that drive smarter business decisions.
I'm a Business & Data Analyst and AI/ML Engineer building intelligent systems using predictive analytics and machine learning. I create data-driven solutions that help organizations make smarter decisions.
My focus lies in machine learning models, data visualization, and predictive insights that transform raw data into valuable business intelligence.
Python · SQL · Power BI · Tableau
Scikit-Learn · TensorFlow · NLP
Forecasting · Regression · Classification
Analytical Thinking · Problem Solving
A curated selection of my technical work focused on solving real-world business problems using data science, machine learning, and analytics.
Investors often struggle to interpret large volumes of financial data and accurately predict stock price movements.
Built an AI-powered dashboard that analyzes historical stock data and predicts future prices using machine learning, time-series forecasting, and deep learning models with interactive visualizations.
Investors struggle to quickly interpret large volumes of financial news and understand overall market sentiment.
Built a real-time news analysis dashboard that collects crypto and stock market headlines from RSS feeds and performs sentiment analysis to determine market mood using natural language processing.
Real estate data is often difficult to analyze, making it challenging to identify market trends, property demand, and regional sales patterns for informed decision-making.
Developed a real estate analytics dashboard to analyze property sales data and identify market trends. Implemented data cleaning and generated multiple visualizations including sales trends, property distribution, and correlation insights.
Organizations lack clear insights into cybersecurity incident trends, affected sectors, and the scale of data breaches over time.
Performed data analysis on cybersecurity incidents (2019–2024) by cleaning and transforming breach data, estimating affected subjects, and creating multiple visualizations to identify trends, sector impact, and incident patterns.
A snapshot of the technologies I work with and the academic journey that shaped my analytical thinking and problem-solving abilities.
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Lovely Professional University
CGPA: 7.87Innocent Hearts School, GMT
Score: 90%Cambridge International School For Girls, U.E-II
Score: 95%Solved 500+ data structure and algorithm problems covering Arrays, Trees, Dynamic Programming, Graphs and advanced algorithmic concepts.
Achieved a rating of 1616 in LeetCode contests by consistently solving competitive programming challenges.
Achieved 5+ star ratings on HackerRank in Java, C/C++, Python and SQL demonstrating strong problem solving and programming skills.
Industry-recognized certifications demonstrating expertise in data science, machine learning, and business analytics.
Whether it's a collaboration, an internship opportunity, or just a conversation about building better software — my inbox is always open.