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+1 (Street Address ) 338 7929 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE https://github.com/Candidate's Name /EducationWayne State University Detroit, MIMaster of Science in Data Science and Business Analytics Aug Street Address Dec 2023 University of Pune Maharashtra, IndiaBachelor of Engineering in Computer Engineering Aug 2015 Oct 2020 ExperienceData Analyst Intern Feb 2023 Mar 2024Ecojiva LLC Troy, MI Managed the collection of daily solar generation data from diverse customer sites, facilitating tracking and analysis for dashboard creation to visualize daily consumption and energy generation patterns. Developed comprehensive reports and interactive dashboard using Power BI to provide analytical support. Utilized Power apps like power pages and power automate to design workflows to automate data population in document. Data Analyst Intern May 2023 Dec 2023NorthStar Care Detroit, MI Leveraged Python and SQL for data manipulation and ETL to ensure high-quality datasets, upon which a HistGradient Boosting machine learning model was developed, achieving an 84% accuracy rate in predicting hospice patient eligibility. Collaborated with data engineering team to enhance data pipelines and developed a user-friendly Streamlit UI for real-time eligibility determination, integrating comprehensive data analysis and actionable insights to improve healthcare decision-making.Consulting Engineer - Apprenticeship Nov 2021 Jul 2022 Cisco Systems Bangalore, India Analyzed log files across 200+ network devices, interpreting large datasets to enhance network efficiency and security. Utilized SolarWinds and Putty tools to extract data from over 300 network devices, improving system reliability by 15%. Implemented Python that automated extraction of log files from over 200 network devices, reducing extraction time. Junior Data Analyst Nov 2020 Nov 2021Manasavi Tech Solutions Maharashtra, India Comprehensive data management across 10+ projects to ensure high data quality from collection to cleaning phases. Conducted in-depth exploratory data analysis on complex datasets, to uncover trends and patterns to inform strategic decision-making. Produced over 50 data visualizations using Tableau to effectively display project results, as well as SQL for data extraction and manipulation from numerous databases.ProjectsHospice patient eligibility prediction Python, SQL, Machine Learning May 2023 Dec 2023 Analyzed and interpreted extensive datasets to extract insights and offer actionable recommendations and develop a predictive model to predict Hospice patient eligibility criteria based on electronic health records. Performed Extract, Transform and Load (ETL) on data using python, ensuring data quality for analysis. Utilized machine learning model (HistGradientBoosting) to develop predictive model on Key performance indicators (KPIs). R Classification Model Evaluation R, Machine Learning Aug 2022 Dec 2022 Evaluate the several classification models in R that use a variety of methods to categorize input data. Executed comprehensive data preprocessing and cleansing procedures to meticulously transform the dataset, ensuring optimal quality and relevance for subsequent analysis. Facilitated model training processes, emphasizing metric comparison such as Area Under Curve (AUC), Accuracy, Precision, and Receiver Operating Characteristic (ROC) values to gauge and contrast performance across different models. Exploratory Data Analysis to estimates homelessness in USA Python, SQL, Tableau Jan 2023 Apr 2023 Analyzed homelessness estimates across states in the United States at a specific point in time (PIT), employing exploratory data analysis (EDA) techniques to comprehensively dissect and summarize the dataset for profound insights. Leveraged Python and SQL for proficient data modeling and extraction, effectively managing sizable datasets to ensure efficient processing and analysis. Identified patterns and insights in homelessness data, creating 30+ graphs and plots to visualize findings. Technical SkillsLanguages: Python, C/C++, R, SQL, HTML/CSSSoftware Tools: MS Office, Word, Excel, PowerPoint, Visio, Tableau, Power BI, Azure, Jira, Docker, Data bricks, Power Apps. Libraries: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn Certifications: Python, Data Science Boot camp, Microsoft Azure Data Engineer Associate Soft Skills: Verbal communication skills, Innovation, Flexibility, Collaborative, Problem-solving, Interpersonal skills, Analytical thinking, Self-motivated, Fast-paced, Committed, Teamwork, Attention to detail, Organizational skills. Area of Expertise: Machine Learning, Relational databases, Statistics, Data warehousing, Data governance, Data mining, Qualitative and quantitative analysis, Data visualization, Data quality assurance, EDA Analysis, Azure data factory, Root cause analysis, Data modeling, Data acquisition, WKC (Watson Knowledge Catalog)Data Analytics, Power Query, DAX, Agile, Scrum, Validation, Machine Learning, Business analysis, Analytical skills. |