Hima Mallina
Analytics | Fintech | Business
About Me
Hello! I'm Hima. A data-driven problem solver with a passion for transforming complex datasets into strategic insights and driving business impact through analytics. My journey in the world of data spans over 4 years across global tech, fintech, and education sectors, where I've developed a keen ability to extract meaningful patterns and actionable intelligence from diverse datasets. This fascination has driven me to master tools like Python, SQL, Power BI, and SAS Viya—turning raw information into compelling business narratives.With experience at organizations like Walmart Global Technology and UNSW, I've developed my analytical skills in real-world environments, leading cross-functional teams and implementing automation solutions that tangibly improved operational efficiency. My work has ranged from creating interactive dashboards and resolving RPA bot failures to conducting sentiment analysis and mapping payment technology infrastructures.I thrive in dynamic environments where I can apply my analytical mindset to solve complex business problems. My combination of technical expertise and business understanding allows me to bridge the gap between data and decision-making, translating numbers into narratives that drive strategic action.
Personal Projects
Finding Home: Analysis of Sydney's Rental Market
Generated using Seaborn
Identified and recommended the best housing options in Sydney factoring in affordability, location, and accessibility to essential services using data.
Tools : Python Pandas, Matplotlib, Seaborn, Tabulate, Colab, Jupyter Notebook
Transforming Contoso's Revenue & Retention Strategy
Conducted performance analysis for Contoso Hotel using customer segmentation, revenue trends, and channel effectiveness. Identified high-value demographics, loyalty drivers, and seasonal revenue patterns. Delivered strategic recommendations to boost retention, optimize marketing channels, and enhance premium offerings supporting the hotel’s goal to expand its customer base and double reservation revenue.
Tools : Power Bi , DAX (Data Analysis Expressions), Power Query
Machine Learning for Insurance Claim Prediction
Developed multiple ML models to predict insurance claims costs from health and demographic data, employing EDA, feature engineering, and hyperparameter optimization to identify key cost drivers and enable more accurate premium pricing strategies.
Tools : Python NumPy, Pandas, Scikit-learn, Matplot.
Financial Data Engineering & Volatility Analysis: A Dual-Approach Pipeline
Built a comprehensive financial analytics pipeline that transforms fragmented stock market data into actionable investment insights. Leveraged robust ETL processes and portfolio construction methods to enable evidence-based decisions through volatility analysis and measurable performance metrics
Tools : Python Pandas, NumPy, ETL (Extract, Transform, Load), Sys, Util (custom utilities module)
Additional Projects
Arc UNSW Student Engagement Analysis
During internship, I transformed extensive student data into actionable insights using Excel-based visualizations for Arc UNSW leadership. I uncovered key membership trends, identified program performance gaps, and revealed engagement opportunities. My analysis delivered multiple interactive dashboards that facilitated data-driven decisions, aligning stakeholder interests and optimising strategic initiatives, delivering actionable insights and measurable impact. Analysed text for sentiment analysis.
Tools : Advanced Excel (Pivot Tables), SAS Viya (Sentiment Analysis, Text Parsing, Custom Concepts, Categories, Regex), NLTK, and Langdetect (Language Detection)
Customer Review Analysis: Unlocking insights from Amazon Laptop Reviews.
This project applies sentiment analytics to over 6,000 customer reviews from Amazon to uncover actionable insights into customer sentiment, product satisfaction, and brand performance across eight leading laptop brands. Using SAS Visual Text Analytics, I translated unstructured review data into meaningful themes that inform product development, customer experience strategy, and targeted marketing initiatives.
Tools : Sas Viya NLP, topic modelling, text mining, sentiment analysis
More Projects: SQL and Artificial Intelligence Projects will be available on GitHub.
Stakeholder Projects (Private)
Client - Arc Wellness
Client - UNSW Finance Dept.
Client - Joy of Giving
Client - Arc
Work Experience
I’ve had the privilege of contributing to renowned organizations whose values and standards have played a key role in shaping my work ethic and professional outlook.
Let's connect
Interested in collaborating or have feedback on my portfolio? I’d love to hear from you! Whether you have recommendations, opportunities, or just want to send a kind message, let’s connect.
HIMA MALLINA