I'm Rakshanda Hedawoo. I live in United States, where I build the future.
From Mumbai to Maryland, my journey has been a blend of curiosity and ambition. Starting as a Technical Analyst at LTIMindtree, I leveraged data to optimize systems, analyze user behavior, and enhance operational workflows, leading to significant efficiency improvements. My passion for data then guided me to pursue a Master's in Information Systems at the University of Maryland. Here, I've tackled projects ranging from analyzing Walmart's sales to exploring global crises impacts, each time turning data into actionable insights.
Beyond data, my heart lies in adventure and giving back, capturing the essence of who I am - a blend of analyst, explorer, and philanthropist.
My day-to-day toolkit
A curated set of tools and technologies that I leverage to deliver value in various projects. These tools span across data science analysis, database management, project management, and machine learning.
Data Analysis & Visualization
- Tableau & Power BI: For visualizing data and tracking web analytics to derive actionable insights.
- Matplotlib & Seaborn: Python libraries for creating static, animated, and interactive visualizations.
- Hadoop, Hive, Pig, & Spark: Big data frameworks and tools for processing large datasets, data warehousing, and analysis.
Database Management
- Microsoft SQL Server, Oracle, & PostgreSQL: Relational database management systems for handling structured data.
- MongoDB, Neo4j, & Cassandra: NoSQL databases for managing unstructured data, offering scalability and flexibility.
Programming Languages
- Python: Widely used for its simplicity and vast ecosystem, particularly with libraries like NumPy, Pandas, Scikit-Learn, and SciPy for data science.
- R & PySpark: For statistical analysis and large-scale data processing in distributed computing environments.
Project Management Tools
- JIRA & Azure Boards: Agile project management tools that facilitate tracking and collaboration.
- Git Bash & Microsoft Project: Tools for version control and project scheduling to streamline development processes.
Machine Learning Algorithms
This section includes foundational and advanced machine learning techniques like Anomaly Detection, Supervised and Unsupervised Learning, Natural Language Processing (NLP), Hypothesis Testing, and more, which are pivotal in building intelligent systems.
Additional Tools
- Visual Studio Code & Anaconda: Essential development and data science environments to enhance coding efficiency.
- Notion: A versatile note-taking and organization tool that aids in project planning and documentation.
Each of these tools plays a vital role in my workflow, enabling me to tackle a wide range of challenges across different projects. This toolkit not only enhances my productivity but also ensures that I can provide robust and innovative solutions.