About
Highly analytical Data Analyst with over three years of experience in data analytics, machine learning, and cloud solutions, demonstrating a consistent track record of optimizing revenue strategies and enhancing market share. Adept at leveraging advanced analytics tools (SQL, Python, Power BI) and AI/ML models to deliver data-driven insights, I excel in fast-paced corporate environments, driving strategic decision-making and continuous improvement.
Work
London, UK
→
Summary
Leading data-driven initiatives at Evoastra Ventures, I optimize revenue, enhance financial forecasting, and drive market share growth through advanced analytics.
Highlights
Led data-driven revenue optimization initiatives, leveraging SQL, Power BI, and Excel automation to enhance financial forecasting, pricing strategies, and market trend analysis, driving profitability and market share growth.
Designed and deployed advanced reporting frameworks, streamlining KPI tracking and revenue performance analytics for senior stakeholders, enabling faster decision-making and process improvements.
Bengaluru, India
→
Summary
Designed and deployed Platform-as-a-Service solutions using Azure, significantly improving system efficiency and reducing application deployment times.
Highlights
Designed and deployed Platform-as-a-Service (PaaS) solutions using Azure, improving system efficiency by 25% and reducing application deployment times by 30% through CI/CD pipeline automation.
Overhauled alert system rules using advanced monitoring tools, reducing unnecessary alerts by 40% and optimizing Microsoft SQL Server configurations in Azure Cloud, boosting overall database performance by 20%.
Bengaluru, India
→
Summary
Resolved critical bugs and enhanced product quality, developing a click-based filtering tool to improve data selection efficiency and user interaction.
Highlights
Resolved critical bugs, enhancing product quality by 30% through meticulous debugging and testing.
Developed a click-based filtering tool using JavaScript, improving data selection efficiency and user interaction by 20%.
Designed user interface components to improve customer experience, receiving a Spotlight award for outstanding contributions to timely software delivery.
Bengaluru, India
→
Summary
Developed machine learning models using Python, scikit-learn, and TensorFlow, executing data engineering tasks to ensure data quality and consistency.
Highlights
Developed machine learning models using Python, scikit-learn, and TensorFlow, executing data engineering tasks to prepare datasets and utilize SQL for ETL processes, ensuring data quality and consistency.
Employed Bayesian methods to improve predictive model accuracy, contributing to data-driven decision-making by optimizing data flow and storage systems.
Education
Skills
Development Languages
Python, Java, R, C, C++, SQL, HTML, CSS, VBA, TypeScript, JavaScript.
Database/Cloud Computing/DevOps
MySQL, MongoDB, PostgreSQL, CI/CD, Firebase, AWS, GCP, Azure, Git.
Artificial Intelligence/Machine Learning
NumPy, Pandas, Matplotlib, Seaborn, Keras, TensorFlow, PyTorch, Computer Vision, NLTK, GenAI, Scikit-learn, Bayesian Methods, Time Series Analysis, Machine Learning Algorithms.
Web Technologies
Django, Flask, Node.js, jQuery, Angular, Bootstrap, Next.js.
Forecasting & Business Insights
Revenue Management, Demand Forecasting, Financial Modeling, Business Intelligence, Market Trend Analysis, Profitability Analysis, Market Share Growth.
Data Analysis and Visualization Tools
KPI Tracking, Data Modeling, Sustainability Reporting, Revenue & Market Share Analysis, Microsoft Office, Microsoft Excel (Advanced), Power BI, Tableau, Matplotlib, ggplot2.
Professional Skills
Creating Reports & Briefings, Statistical Analysis, Leadership, Problem Solving, Attention to Detail, Innovative, Cross-functional Collaboration, Interpersonal Communication, Resilient, Research and Professional Development.