I'm Sabith, a Business Analytics graduate with strong expertise and a passion for Data Analysis, Data Visualization and Statistical Modeling. I am dedicated to transforming and optimizing business processes by leveraging data-driven insights.
London, United Kingdom
BA Finance and Accounting Honors
2015-2018
Ontario, Canada
PG Diploma in Business Analytics
2024-2025
Operations Specialist
November 2021 - December 2023 Dubai, UAE
Business Development Executive
May 2019 - September 2021 Abu Dhabi, UAE
Marketing Executive
April 2018 - December 2018 London, United Kingdom
The analysis employs advanced statistical techniques, including ANOVA, Chi-Square tests, and time series models, using R programming to conduct a comprehensive study on the study hours of students across three different analytics programs. This approach allows for an in-depth comparison and understanding of how study habits vary among these programs.
The analysis explores daily habits data collected over two semesters, using R programming within an R Markdown report. Advanced statistical methods like T-tests, confidence intervals and hypothesis testing, were employed to evaluate behavioral patterns and time allocation. The project demonstrates the power of R in conducting in-depth statistical analysis and generating meaningful conclusions.
Leveraged Python to fetch and cherry-pick data from the balldontlie API, focusing on basketball players, teams, and statistics. The analysis involved creating visual charts with Plotly, showcasing player performance and team comparisons. The project was integrated with a front-end interface using Flask and Jinja, providing an interactive and visually engaging platform for exploring basketball data.
The integration combines multiple APIs—Harry Potter, OpenWeather, and OpenNotify—using Python, Flask, and Twilio. A Flask-based web application was developed, featuring a button that, when clicked, fetches data from these APIs, constructs a personalized message, and sends it via Twilio to a validated phone number. The application highlights the use of Python for seamless API interactions, Twilio for messaging, and Flask for the user interface, with all messages logged in a JSON or text file for record-keeping.
The analysis delves into sales data, utilizing Tableau for data visualization and dashboard creation. Advanced data visualization techniques are employed to assess profit trends, evaluate marketing spend distribution, and pinpoint inefficiencies in expense management.
The infographic provides a visual representation of China’s substantial impact on the global cigarette market.The project emphasizes data comprehension and visualization skills, effectively using design principles to present complex market data in a clear and engaging infographic format.
The interactive Excel dashboard provides a comprehensive comparison between Tesla and BYD, two major players in the global electric vehicle market. Utilizing data from Statista and other sources, the dashboard examines sales metrics, models, and revenue for both brands. By leveraging advanced Excel features, it effectively visualizes these key metrics and highlights the impact of Tesla and BYD on the evolving landscape of electric mobility.
An interactive Web Map and Story Map were created to present environmental assessments for lake water sampling and tree health evaluations. Utilizing ArcGIS Online and ArcGIS Pro, the Web Map visualizes key environmental data, while the Story Map offers a narrative-driven presentation, integrating maps, charts, and imagery to effectively convey findings and ongoing environmental initiatives.
The analysis explores police-reported Crime Severity Indexes and crime rates across Canada. Utilizing Tableau, it captures and visualizes critical data to uncover trends and patterns across various provinces and territories. The data was meticulously analyzed to extract meaningful insights, which were transformed into a compelling narrative using Tableau’s storytelling capabilities.
The interactive dashboard offers a comprehensive analysis of retail sales and profit data, utilizing a Kaggle dataset. By harnessing Power BI’s advanced visualization features, it captures essential data points, explores trends, and extracts actionable insights. The analysis emphasizes key performance metrics and delivers a narrative that supports strategic decision-making.
