Data Analyst Power Bi

Mrunalinee Desai

+1-817-***-**** *******@****.***.*** LINKEDIN

EDUCATION

University of Texas, Arlington Texas,USA

Master of Science (MS) in Management Information Systems (M.I.S) Shivaji University, Kolhapur Institute of Technology Kolhapur, India Bachelor of Technology(B.Tech) in Computer Science and Engineering CERTIFICATIONS & TECHNICAL SKILLS

Certifications: AWS Academy Machine Learning Foundation Great Learning: UI/UX Virtual Internship: AICTE/AWS/Edu-Skills in AI-ML Udemy: HTML & CSS.

Analytics Languages: Python, SQL Programming Languages: JavaScript, HTML, Visual Studio, C. Data Visualization Tools: Tableau, Power BI, Figma, SAP, Google Analytics, Microsoft Excel, Jupyter Notebook, Microsoft Access

Libraries: Python (NumPy, Pandas, Matplotlib)

Database Management: NOSQL, SQL, MySQL, MS Visio

EXPERIENCE

Hexaware Technologies, Developer January 2024- July 2024

• Completed 100+ hours of training in Java programming, Agile methodologies, Data Structures, and MySQL, building a strong foundation in software development and database management.

• Demonstrated proficiency in the software development lifecycle by actively contributing to 5+ stages, including requirements gathering, design, implementation, and quality assurance, ensuring 99% defect-free deliverables. Comtranse Technology, Data Analyst July 2023 - October2023

• Sentiment analysis insights were not efficiently integrated into business intelligence dashboards, delaying decision- making. Collaborated with cross-functional teams to integrate sentiment analysis results into BI dashboards (Power BI, Tableau) using Python APIs and SQL databases for real-time reporting, provided real-time insights to stakeholders, reducing data-to-decision time by 40% and improving business strategy responsiveness. Indane Oil LPG Gas Agency, Data Analyst November 2021 - January 2022

• Inefficiencies in account operations, billing systems, and inventory management led to delays and service disruptions, developed and optimized billing automation scripts using Python and integrated SQL-based database management for inventory tracking, ensured seamless delivery of 8,000+ LPG cylinders monthly while resolving 10+ recurring inefficiencies, improving service reliability by 25%.

• Inventory mismanagement led to frequent stockouts and supply chain inefficiencies, designed an inventory tracking dashboard using SQL and Power BI, integrating real-time stock level updates, minimized stockouts by 30%, increased supply chain efficiency by 20%, and boosted overall productivity by 15%. PROJECTS

Comatose Patient Detection Python

• Designed and developed an IoT-based system to monitor movements in comatose patients, tracking hand and muscle activity with 95% accuracy through advanced image processing and sensor integration.

• Integrated PIR sensors, EMG sensors, Raspberry Pi, and Arduino for precise movement detection, enabling real-time monitoring and a wireless alert mechanism that reduced caregiver response time by 40%. Conducted rigorous testing and calibration cycles to ensure sensor accuracy and reliability under diverse conditions, achieving consistent performance in 98% of scenarios. A Step Forward to AGI: Integrating Agentic AI and Generative AI for Human-Like Intelligence. Link: RESEARCH PAPER

• Researched and proposed a novel framework combining Generative AI’s creativity with Agentic AI’s autonomy to enhance adaptability, problem-solving, and real-time decision-making.

• Examined computational, ethical, and scalability challenges in AGI development, emphasizing responsible AI growth through collaboration between AI researchers, cognitive scientists, and ethicists.

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