Sales Analysis Dashboard
CocaCola Sales Analysis in Microsoft Excel.
Hello, I'm Shreya! I'm working as a Data Analyst at Signal Hill Insights. I have completed my Master's in Mathematical and Statistical Sciences with a specialization in Modelling, Data, and Predictions (a.k.a Data Science) at the University of Alberta.
I'm genuinely passionate about working with data, where I can combine my curiosity with analytical skills to uncover valuable insights and help drive informed decision-making.
In this portfolio, you'll find a variety of projects that demonstrate my skills in programming, data analysis, and machine learning (ML). Each project is a reflection of my dedication and enthusiasm for the field.
Thank you so much for visiting my portfolio!
Skills
Languages and Packages
Python, Pandas, Matplotlib, Scikit-Learn, NumPy,
PySpark,
R,
Java
Data Tools
MySQL, SQLite,
Tableau,
Power BI,
Microsoft Excel,
DisplayR,
Google Data Studio
Technical Tools
Data Analysis, Data Visualization, Data Management, Machine Learning, Statistical Modelling,
Microsoft Azure, Microsoft Office, Google Suite, Software Design, Agile Methodology, SCRUM, Version Management, Git
Soft Skills
Analytical Thinking, Attention to Detail, Critical Thinking, Time Management, Leadership, Project Management, Team Coordination, Collaboration, Communication, Adaptability, Problem-Solving, Research
Work Experience
Data Analyst (Contract) | July 2025 – Current
Signal Hill Insights
• Built banner tables, cross-tabs, and dashboards in Displayr for brand lift studies (n=600+),
leveraging exposed/control designs and podcast audience demographics (Demos+) to deliver insights and streamline reporting.
Data Science Intern | February 2025 – June 2025
Momentum Media
• Developed dynamic Excel reports and Python workflows to analyze Radio listenership, integrating station metrics with demographic splits.
• Contributed to building time-based multiplier models and integrated data across multiple platforms to accurately estimate total audience and maintain consistency.
• Created scalable templates and comparison spreadsheets with embedded metrics, adjustments,
and validation flags to compare listenership performance across methods and sheets.
• Performed variance and trend analysis to identify insights and improve audience estimation accuracy.
Information Technology Intern | May 2022 – July 2022
Kuwait Oil Company, Kuwait
• Executed the DevOps Life Cycle to develop and deploy a Ticketing web application.
• Facilitated SCRUM for the team as a Scrum Master, ensuring adherence to the framework.
• Implemented Agile testing methods for source code, orchestrated AWS infrastructure components,
and introduced automation tools, such as Git, without system disruptions.
Projects
For more projects, please check my Github profile.
Please contact me for the password if you encounter password-protected files.
This measure was taken to avoid public disclosure of the University's assignments.
Time Series Analysis with PySpark
Airline Passenger trends analysis using PySpark in Databricks.
Revenue Analysis and Dashboard
Sales and Revenue Analysis in MySQL and Tableau.
InteriorVision
Room interior's style detection and image generation.
Personal Finance Dashboard
Personal Finance Dashboard in Power BI.
Airline Delay Analysis
Classification of flights for delays using ML.
Classification v/s Regression
Exploration of predictive modelling techniques- classification and regression.
Survival Analysis
Prediction of Survival Status after Bone Marrow Transplant in Children.
Clustering Data
Comparison of Clustering and Dimensionality Reduction Techniques.
Sales Dashboard
Power BI report/dashboard for a supermarket's sales data.
Netflix Data Analysis and Dashboard
Analysis of titles on Netflix and a corresponding Tableau Dashboard.
Hist-TrOCR
Fine-tuned TrOCR model to recognize historical text from images
Customer Churn Prediction
Decision Tree and Linear Regression in Python on generated data
Student Performance Data Analysis
Exploratory Data Analysis and Application of Machine Learning techniques
Statistical Analysis in R
Analysis of data of Pareto Distribution
Optimization Algorithms from Scratch
Genetic Algorithm and Particle Swarm Optimization in Python
Artificial Neural Network from Scratch
ANN in Python without any libraries
Collaborative Social Media App
Social Media Website with Chat and Whiteboard functionalities
TicTacToe
AI-based Value Iteration, Policy Iteration, and Q-Learning agents that plan/learn to play a 3x3 Tic-Tac-Toe game
Business Analysis Capstone
Business Strategy Recommendations and Analysis
Education
.png)
University of Alberta
Masters in Modelling, Data, and Predictions
• Courses and Projects on essential Data Science topics such as mathematical and statistical modelling, machine learning, and implementations in R and Python.
Heriot-Watt University
Bachelor of Science (BSc Honors) in Computer Science, 2020-2023
• Graduated with First-Class Honors
• Completed all courses with the highest grade.
• Received direct entry to Year 2 with a scholarship.
• Projects done in Python and PyTorch, OCaml, Prolog, Java, C, ARM, MySQL,
HTML + CSS + JavaScript, R, PDDL, Flutter/Dart, and GNS3.
• Courses include-
| Artificial Intelligence | e-Commerce Technologies | Data Communication and Networking |
| Data Mining and Machine Learning | Database Management | Software Engineering |
| Statistical Analysis | Data Structures and Algorithms |
Operating Systems and Concurrency |
| Biologically-Inspired Computation | Web Development | Language Processors and Automata |
University of Surrey
Bachelor of Science (BS) in Computer Science, 2019-2020
• Courses include- Computer Logic, Foundations of Computing, Programming Fundamentals, and Web and Database Systems
Certifications
- Natural Language Processing Specialization by DeepLearning.AI
- Deep Learning Specialization by DeepLearning.AI
- Business Analytics Specialization by The University of Pennsylvania
- Data Analytics Specialization by Google
- Applied AI Specialization by IBM