| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
Address: Overland Park, KS Mobile: PHONE NUMBER AVAILABLE Email: EMAIL AVAILABLEProfessional SummaryDetail-oriented Data Analyst with over 2 years of hands-on experience in data analysis, ETL pipeline development, and business intelligence reporting. Proficient in leveraging Python, SQL, Power BI, and Excel to analyze and interpret large datasets, optimize database performance, and automate data collection processes. Experienced in creating real-time data processing solutions using machine learning and image recognition techniques. Strong collaboration skills with cross-functional teams, delivering actionable insights and advanced analytics to drive business decisions.SKILLSPython, C++. Java, R, SQL. HTML, CSS, Pyspark.Data Analysis and Manipulation Tools: NumPy, Pandas, SAS.ETL and Data Integration Tools: AWS Glue, Talend, Data Visualization and Business Intelligence Tools: Power BI, Excel.Version Control and Collaboration Tools: Git, JIRA.Office Productivity Tools: MS-Office (Word, Excel. PowerPoint, etc.),Quantitative Modeling, Quantitative Models, Apache Spark.Distributed Computing, Hadoop, Risk Analytics, Tableau, Computer Science, Information Technology, Create Documentation, Loss Forecasting, Portfolio Strategy, quantitative Analytics. Target Setting, HIVE, Insightful, Presentation.Experience:Data Analyst INTERN 08/2023 to 11/2023Sapmount Technologies Texas, (USA)Produced monthly reports using advanced Excel spreadsheet functions.Created automated data pipelines to streamline data collection and processing, reducing manual reporting time by 30%.Collected, analyzed, and interpreted large datasets to support data-driven decision-making, using tools like SQL, Excel, and Python.Developed and maintained dashboards and reports using Power BI to visualize key performance metrics and trends.Performed data cleansing, transformation, and validation to ensure data accuracy and consistency for reporting.Assisted in data quality management efforts by identifying and resolving discrepancies in data from various sources.Applied statistical methods to identify trends, patterns, and correlations in data to improve business processes.Data Analyst 11/2020 to 05/2022STRIDEZ Solutions India Private Limited Hyderabad, (India)Designed and developed ETL pipelines to automate data ingestion, transformation, and loading from multiple sources, reducing manual intervention by 40%.Improved database performance by tuning queries, indexing, and optimizing storage systems, reducing processing times by 25%.Collected, analyzed, and visualized complex datasets using SQL, Excel, and Power BI to support business decisions.Performed data cleansing and transformation to improve data quality and ensure consistency across various sources.Implemented data governance policies and security measures to ensure compliance with organizational standards.Collaborated with data scientists to develop data models and support advanced analytics and machine learning initiatives.Conducted exploratory data analysis to identify trends, patterns, and opportunities for process improvement.Collaborated with cross-functional teams to define reporting requirements and optimize data delivery processes.Projects:Current Real-World Job Skill Demand Vs Near-Future Supplies from University Graduates: Analyzed trends in job skill demand across industries and compared them with projected graduate skill sets using data from industry reports and academic sources. Conducted in-depth research using statistical methods and data analysis tools like Python, Excel, and Power BI. Identified skill gaps and predicted future workforce challenges, providing insights to help align educational programs with industry needs. Developed visualizations to present key findings and trends to stakeholders, aiding in strategic planning for workforce development.Vehicle Number Plate Detection: Developed a machine learning model using Python and OpenCV to detect vehicle number plates from real-time images and video streams. Applied image processing techniques like edge detection and contouring to accurately identify and extract license plate regions. Implemented Optical Character Recognition (OCR) to decode the characters on detected plates with high accuracy. Optimized the model for real-time performance, reducing processing time while maintaining detection accuracy.Resume Screener: Developed an automated resume screening tool using Python and Natural Language Processing (NLP) techniques to filter resumes based on job-specific keywords. Implemented machine learning algorithms to rank and classify resumes based on relevance to job descriptions, improving recruitment efficiency. Integrated the tool with an ATS to streamline candidate selection by scoring resumes against predefined criteria. Enhanced the tool's accuracy by refining keyword matching and context understanding through NLP models.EDUCATIONUniversity Of New Haven, Master of Science in Data Science Dec,2023Chalapathi Institute of Engineering and Technology, Bachelors in Electronics and communication July,2021 |
