| | | 20,000+ Fresh Resumes Monthly | |
|
|
| | Related Resumes Data Analyst Machine Learning Silver Spring, MD Data Analyst Machine Learning Ashburn, VA Data Analyst Machine Learning Hyattsville, MD Data Analyst Falls Church, VA Power Bi Data Analyst Ashburn, VA Clinical Data analyst, Skills - Python, SQL, Tableau, R Fairfax, VA Junior Data Analyst Baltimore, MD |
|
Click here or scroll down to respond to this candidateCandidate's Name
Data AnalystLocation: VA Mobile: PHONE NUMBER AVAILABLE Email: EMAIL AVAILABLE SUMMARYData Analyst with 3+ years of experience leveraging data to drive decision-making and improve business outcomes. Proficient in the entire Software Development Life Cycle (SDLC) and Agile methodologies. Expertise in programming languages Python, R, and SQL, complemented by a command of libraries and tools such as NumPy, Pandas, Matplotlib, SciPy, Seaborn, ggplot2, and Plotly for comprehensive data analysis and visualization. Experienced with advanced analytics platforms like RStudio, RapidMiner, and business intelligence tools including Google Data Studio, Tableau, and Power BI. Proficient in utilizing machine learning libraries such as Scikit-learn, TensorFlow, Keras, and PyTorch, as well as cloud-based machine learning services like Amazon Sage Maker. Effective communicator with excellent presentation skills, able to convey complex data insights to stakeholders clearly and concisely. Proven problem-solving abilities and critical thinking skills. SKILLSMethodologies: SDLC, Agile, WaterfallLanguage: Python, R, SQLIDEs: Visual Studio Code, PyCharm, Jupyter Notebooks Packages: NumPy, Pandas, Matplotlib, SciPy, Seaborn, Ggplot2 Data Analysis & Visualization Tools: RStudio, RapidMiner, Google Data Studio, Tableau, Power BI, Seaborn, Microsoft Excel, PlotlyMachine Learning & Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch, Amazon Sage Maker Cloud Platforms: AWS (Amazon Web Services), Google Cloud Platform (GCP), Azure Big Data Technologies: Hadoop, MapReduce, Hive, Apache Spark, Pig, Databricks Workflow Automation: Apache AirflowCollaboration & Development Tools: Microsoft Teams, Anaconda Database: MySQL, SQL Server, NoSQL (MongoDB, Cassandra), PostgreSQL Other Skills: Data Cleaning, Data Wrangling, Critical Thinking, Communication Skills, Presentation Skills, Problem-Solving Operating System: Windows, LinuxEDUCATIONMaster of Science in Data Analytics Engineering Aug 2022 May 2024 George Mason University, Fairfax, VirginiaBachelor of Science in Computer Science July 2017 June 2021 Keshav Memorial Institute of Technology, Hyderabad, India EXPERIENCEFidelity Investments, VA Jan 2024 - Current Data Analyst Facilitate Agile training sessions for new team members, achieving a 100% understanding rate of Agile principles, roles, and ceremonies and improving team productivity by 20%. Conduct extensive data analysis using Python and R, employing libraries such as NumPy, Pandas, Matplotlib, SciPy, Seaborn, and ggplot2 to derive actionable insights. Utilize RStudio for advanced statistical analysis and reporting, improving the accuracy and reliability of analysis by 30%. Create interactive dashboards and reports using Google Data Studio, Tableau, Power BI, and Plotly, leading to a 40% increase in data-driven decision-making across departments. Perform data cleaning and wrangling to ensure high data quality and integrity, dropping data-related errors by 25%. Implement Amazon Sage Maker for scalable machine learning workflows, falling model training time by 20%. Leverage Hadoop, MapReduce, Hive, Apache Spark, Pig, and Databricks to process and analyze large-scale datasets, enhancing data processing efficiency by 35%. Deploy data solutions on AWS, Google Cloud Platform (GCP), and Azure, optimizing cloud resources and reducing operational costs by 25%. Managed databases using MongoDB, Cassandra, and PostgreSQL, ensuring secure and efficient data storage and retrieval. Capital One, India Nov 2019 - July 2022 Data Analyst Adhered to Waterfall methodologies, following structured project plans and meeting 100% of predetermined milestones for data-related initiatives, resulting in timely project completions. Applied RapidMiner for data mining and predictive modeling, streamlining the model development process and improving forecast accuracy by 20%. Built predictive models using Scikit-learn, TensorFlow, and Keras to forecast financial trends and inform business strategies, increasing prediction accuracy by 12%. Executed big data solutions using Hadoop, Hive, and Apache Spark to handle large volumes of transactional data, increasing data processing capabilities by 30%. Developed complex SQL queries to support data extraction and analysis, improving data retrieval speed by 15%. Collaborated with finance and operations teams using Microsoft Teams to gather requirements and deliver tailored data solutions, enhancing operational efficiency by 25%. Directed data analysis and trend interpretation to develop statistical process control methods to support aviation information and readiness reporting requirements. Used Anaconda to manage Python and R environments, streamline the data science workflow, and improve productivity. |
