I'm a Data Analyst
working in the financial sector with Professional Experience using
Advanced Microsoft Excel, SQL for Data Analysis, Microsft Power BI, Tableau, Python for Data Analysis, Financial Modelling, Statistical Modelling
I'm a Data Analyst
Learn About Me
I am an accomplished Data Analyst with 3 years of professional experience, specializing in utilizing advanced analytical tools and techniques to extract actionable insights from complex datasets. My expertise lies in Microsoft Excel, Power BI, SQL, and Tableau. Throughout my career, I have successfully managed and analysed large volumes of data, applying my strong quantitative and statistical skills to identify trends, patterns, and correlations. I am highly proficient in Excel, utilizing its advanced functionalities to manipulate and visualize data effectively. I have extensive experience in developing dynamic dashboards and interactive reports using Tableau and Power BI, enabling stakeholders to make informed business decisions. My strong analytical mindset, attention to detail, and problem-solving abilities have consistently enabled me to deliver actionable insights and drive data-informed decision-making. I possess excellent communication skills, effectively translating complex data findings into clear and concise reports and presentations for both technical and non-technical stakeholders. Let's connect and explore how I can add value to your data analytics team.
Advanced Microsoft Excel
90%
SQL for Data Analysis
80%
Tableau
80%
Power BI
85%
Python for Data Analysis
80%
Financial Modelling
80%
From Portfolio
This Interactive Financial Performance Dashboard is designed to show the relevant profitability ratios and KPI for the Organisation.
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This project aimed to Prepare a report on the impact of Deforestation across countries of the World. I wrote SQL syntax to query the database and Prepare a report using Microsoft Excel to Visualize the insights using Graphs and Charts. The files can be found by clicking the link below.
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This Interactive Revenue Dashboard was designed using Power BI to visualise the total Revenue recorded categorised by States in the United States as well as Profit or Loss based on categories and subcategories of products sold by the Company.
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This Project was created to answer questions relating to the Education for All Fundraising Company using Python Libraries in Jupyter Notebook to connect to the Postgres Database.
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This project was initiated to develop a Python-based Machine Learning Model capable of forecasting the future stock prices of the S&P500 index. The project encompassed the following systematic steps: Acquisition of S&P500 data, followed by diligent data cleansing procedures. Establishment of the target variables for machine learning and subsequent training of the initial model. Evaluation of the model's accuracy by assessing the associated error and devising a comprehensive back-testing mechanism. Prolonged observation of error metrics over an extended period, leading to refinement of the model through the inclusion of additional predictor columns.
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