| 20,000+ Fresh Resumes Monthly | |
|
|
| | Click here or scroll down to respond to this candidateCandidate's Name
South River, New Jersey, United State (Street Address ) 668-0906 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE https://github.com/praveenkumarghubCAREER OVERVIEWResults-driven Data Analyst with over 5 years of experience in analyzing complex datasets, developing predictive models, and delivering actionable insights to drive business growth. Proficient in Python, R, SQL, and advanced data visualization tools such as Tableau, Power BI and Elastic Search. Expertise in statistical analysis, machine learning, and big data analytics. Proven track record of optimizing business processes, reducing operational costs, and enhancing decision-making through data-driven strategies. Strong problem-solving skills with the ability to translate business requirements into technical solutions. AREAS OF EXPERTISEData AnalysisStatistical AnalysisPredictive ModelingMachine LearningBusiness Intelligence and AnalyticsAdvanced SQL and QueryingBusiness IntelligenceDistributed Database System (MPP)Data WranglingData VisualizationProject ManagementETL ProcessesVendor ManagementTECHNICAL & SOFT SKILLSPostgreSQL // MS SQL Server // Python // Tableau // Power BI // Snowflake // Azure Databricks // C++ // Java Script // MS Excel(Macros, VBA, Power Query) // SAS // Qlik Sense // Apache Airflow //Alteryx// Pandas // NumPy // Matplotlib // Scikit-learn // Seaborn // Stats model // BeautifulSoup // Looker // Hadoop // Spark // TensorFlow // MS Office Suite // Visio // Jira // Agile and Scrum MethodologyOthers: Good Communication Skills // Attention to Detail // Organizational Skills // Multi-tasked // Adaptability // Self-driven WORK EXPERIENCEResearch Assistant (Data Analyst) 01/2023 to 12/2023 University of Bridgeport Bridgeport, CTEnhanced data processing efficiency by 80% and reduced analysis time by 50% by employing advanced Python and R techniques and libraries like Pandas, NumPy, Scikit-learn to analyze large datasets.Boosted research prediction accuracy by 76% through the development and implementation of sophisticated machine learning models, including linear regression, classification, neural networks and deep learning algorithms.Achieved a 95% reduction in manual entry errors and an 80% increase in overall productivity by automating data collection processes using innovative tools and techniques.Elevated junior researchers' data analysis skills by 82% through comprehensive training and mentorship on machine learning methodologies, data science software, and best practices.Improved data interpretation and facilitated informed decision-making for research teams by 85% by creating and integrating advanced data visualization tool Tableau and interactive dashboards. Data Analyst 01/2022 to 09/2022Bizplus4u Hyderabad, IndiaDeveloped and implemented regression models and K-means clustering algorithms, enabling the identification of customer behavior patterns and predicting sales trends with 85% accuracy.Performed A/B testing on digital marketing campaigns, leveraging client data and market trends to boost brand visibility and customer engagement, resulting in a 25% increase in click-through rates.Developed an advanced data collection system leveraging BeautifulSoup and Unstructured.io; streamlined the extraction of over 10,000 data points weekly, improving data processing efficiency by 40% and bolstering market analysis accuracy.Streamlined data processing by implementing automated workflows using Azure Databricks, reducing data preparation time by 78%. Leveraged SQL for efficient data extraction and transformation (ETL) and utilized Pandas for data cleaning and manipulation. This automation enabled quicker and more efficient data analysis and reporting, significantly enhancing productivity.Collaborated with stakeholders across the organization to understand functional requirements and translate them into actionable data analysis tasks, resulting in an 82% improvement in targeted marketing efforts and increase in sales. Data Analyst 07/2019 to 12/2021Bajaj Auto Ltd Aurangabad, IndiaOversaw quality management system by utilizing Python libraries and SQL for data analysis and process improvement. Ensured the system's effectiveness and compliance by implementing Agile methodologies, reducing defects by 40%.Performed in-depth root cause and ad-hoc analysis with SQL, extracting historical production data to identify quality issues, trends and unveiling actionable insights resulting in process enhancement, reduced customer support issues by 50%.Analyzed customer data using advanced ML techniques such as K-means clustering and random forest classification by using scikit-learn and TensorFlow, leading to a 78% increase in the effectiveness of targeted marketing campaigns.Orchestrated the deployment of data-driven marketing strategies, improving campaign ROI by 90% and significantly elevating customer engagement and conversion rates.Demonstrated proficiency in creating and optimizing DAX formulas in Power BI to perform calculations and analysis on large datasets, enabling the development of insightful reports and dashboards that drove informed decision-making processes.Data Analyst Intern 06/2018 to 06/2019Tata Motors Jamshedpur, IndiaPerformed in-depth root cause analysis with SQL, extracting historical production data to identify quality issues, trends and unveiling actionable insights resulting in process enhancements that reduced customer support issues by 40%.Utilized Power BI to optimize the SQL commands for data retrieving, visually represent and report optimized results and ensure compliance with industry rules and regulations for quality indicators.Delivered comprehensive analytical reports to senior management, incorporating advanced data analysis insights like time- series analysis and correlation analysis, leading to a 77% improvement in project success rates.Used SAS/SQL for data retrieving from manufacturing database and aggregate to provide detailed reporting based on the user requirements and reduced retrieval time by 40%.Provided statistical research analysis and data modeling support for mortgage products and created sub-reports, summary reports, ad-hoc analysis reports using SSRS.Expertise in Business Intelligence, data analysis and performed Exploratory Data Analysis and data visualization through Python and Power BI.EDUCATIONMaster of Science in Analytics and Systems 05/2024 University of Bridgeport Bridgeport, ConnecticutBachelor of Technology in Mechanical Engineering 05/2019 National Institute of Technology Jamshedpur, India CERTIFICATIONSAWS Certified Data Engineer Associate - 2024 (On-going)IBM Data Science Professional CertificateMicrosoft Certified Data Analysis and Visualization with Power BI PROJECTSDiving Deeper into Retail Data / (PowerBI, SQL):Skilled application of SQL commands to scrutinize, purify, and extract pertinent data from the AdventureWorks database, guaranteeing data precision and reliability for analysis.Developed intricate data models and insightful Power BI dashboards, providing a comprehensive and visual representation of sales, budget, customer, and product information to enable data-driven decision-making and drive business growth and performance optimization.Enhance Artistic Experience / (Python, SQL):Employed Python and SQL to process and manage a renowned paintings' dataset, revealing hidden truths about exhibition schedules, cost variances, and artwork styles and artists.Leveraged intricate SQL queries to acquire valuable insights, shedding light on pieces not displayed in museums, price differences, and emerging trends in the art world.Demonstrated expertise in data analysis and database management, contributing to a heightened understanding of art market dynamics and museum operations. |