Hey, I'm Arshi
I create intelligent systems powered by data, translating complex problems into actionable insights and scalable solutions, with a focus on meaningful, real-world impact.
I work at the intersection of data, business, and intelligent systems, applying analytics and machine learning to address real-world challenges. My focus lies in translating complex data into clear, actionable insights that support sound, informed decision-making.
I approach challenges by breaking down complexity and developing structured, scalable solutions that deliver meaningful impact. At present, I am exploring Generative and Agentic AI to build more adaptive systems, while seeking opportunities to contribute to purposeful work and grow alongside forward-thinking teams.
I design systems that turn complex data into informed decisions, ensuring clarity and delivering measurable results.
With expertise in machine learning and natural language processing, I develop scalable systems that effectively address real-world complexity.
I approach complex challenges by breaking them down into well-structured systems, bringing clarity to ambiguity and enabling effective, outcome-driven execution.
I maintain a progressive approach by consistently developing my skills, building solutions, and adapting to evolving trends.
More than projects — these are purpose-driven systems designed to interpret complexity, extract meaningful insights, and support informed action. Built with scalability and practical application in mind, each solution bridges analytical thinking with real-world impact.
Rapidly changing market conditions and large datasets make stock price prediction a difficult and uncertain task.
Engineered an intelligent forecasting platform that processes historical stock data and predicts future price movements through machine learning and deep learning techniques with dynamic visual analytics.
Extracting meaningful sentiment from rapidly growing financial news sources is a complex and time-sensitive task for investors.
Built a real-time financial news analysis tool that leverages natural language processing to evaluate the overall tone of the market.
Real estate information is frequently unstructured and difficult to interpret, making market analysis and trend identification more challenging.
Developed a data-driven dashboard that processes real estate sales records and presents visual insights into pricing trends, property distribution, and relationships between variables.
Organisations often struggle to gain a clear understanding of cybersecurity incident trends, the sectors most affected, and the scale of data breaches over time.
Conducted a comprehensive analysis of cybersecurity incidents by preparing breach data, estimating affected populations, and creating charts to reveal long-term trends and sector impact.
An overview of my technical expertise and the academic experience that has equipped me to approach complex challenges with clarity, structure, and analytical rigour.
Lovely Professional University
CGPA: 7.87Innocent Hearts School, GMT
Percentage: 90%Cambridge International School For Girls, U.E-II
Percentage: 95%Built a strong foundation in algorithmic problem-solving by successfully tackling 1200+ coding challenges across a wide range of topics, sharpening analytical thinking, accuracy, and efficiency under tight constraints.
Achieved a LeetCode Weekly Contest rating of 1616, demonstrating strong algorithmic thinking, strategic decision-making, and consistent performance under strict time pressure
Built broad engineering competence by securing 5-star ratings across four HackerRank tracks—Java, C/C++, Python, and SQL—highlighting adaptability and reliable execution.
Proof that I do more than collect certificates — each credential reflects applied expertise in data-driven systems, machine learning, and analytical decision-making.
HACKER RANK
Issued: JAN 2024
NPTEL
Issued: MAY 2025
A learning journey shaped by real-world challenges, data-driven thinking, and the steady development of practical technical expertise.
Centre for Professional Enhancement · LPU
June 2025 – July 2025
Hands-on training focused on Data Science concepts, real-world decision making, and analytical thinking.
Open to strategic collaborations, high-impact roles, and meaningful conversations around building scalable systems and intelligent solutions. My inbox is always open for serious opportunities.