Business Analyst Power Bi

Vedvikas Reddy Magam

************@*****.*** 901-***-**** linkedin.com/in/vedmagam github.com/VedvikasReddy Professional Summary

Data and Business Analyst with 4+ years of experience in data analysis, ETL, and machine learning. Skilled in building scalable data pipelines, warehouses, and real-time analytics for Gen AI and business intelligence. Proficient in Python, SQL, Power BI, PyTorch, data cleaning, visualization, and predictive modeling. Experienced in cross-functional collaboration to deliver actionable insights and optimize data workflows for enhanced decision-making and customer experience.

Experience

Data/Business Analyst, Japali Tech Solutions LLC – Plano,TX Jul 2024 – Present

• Designed and developed scalable data architecture and ETL processes to support analytics and Gen AI initiatives, ensuring data quality, accessibility, and alignment with business goals.

• Built and maintained data warehouses and lakes, implementing batch and real-time data processing for optimized business intelligence, Gen AI model training, and reporting.

• Created dynamic Power BI dashboards, transforming complex data into actionable insights and visualizations for data-driven decision-making.

Student Research Assistant, The University of Memphis – Memphis, TN Jan 2023 – May 2024

• Developed a computer vision system for a retail client to detect customer faces upon entry and classify their moods, enabling personalized product recommendations by sales associates.

• Utilized Python, TensorFlow, and OpenCV to implement face detection and mood classification algorithms, improving customer engagement and satisfaction.

• Leveraged deep learning models for real-time image classification and mood categorization in retail environments, and developed Power BI dashboards to visualize customer mood insights, enabling data-driven decisions to enhance customer experience.

Systems Engineer, Infosys Ltd. – Hyderabad, India Aug 2021 – Aug 2022

• Automated data pipelines and implemented scalable ML solutions using PyTorch and TensorFlow, reducing data processing time.

• Developed and maintained ETL/ELT pipelines for data transformation and analysis, ensuring compliance with data governance and security policies.

• Documented technical procedures to explain complex processes to non-technical stakeholders, improving team comprehension.

Data Engineer Intern, Applied Synergy Technologies Pvt Ltd. – Hyderabad, India

Jul 2020 – Jun 2021

• Collaborated with DBA, analytics, and engineering teams to collect, clean, and prepare data for analysis, ensuring data quality and consistency across projects.

• Assisted in developing dashboards and visualizations with tools like SQL and Power BI, enhancing business decision-making through data insights.

• Optimized data pipelines and conducted exploratory data analysis (EDA) using Python and SQL to identify trends, supporting efficient data processing workflows. Electronics and Communication Intern, BSNL – Hyderabad, India Jan 2020 – Jun 2020

• Investigated mobile communications trends and the impact of IoT and Industry 4.0 on connectivity solutions.

• Gained expertise in broadband technologies, including DSL, Wi-Fi security, and optical fiber communication.

• Assembled electronic units following strict electrical principles to ensure quality and reliability. Skills

Languages: Python, Java, SQL, C/C++, SAS, R, MATLAB, Linux, DAX. Libraries and Tools: PyTorch, Sklearn, Pandas, Numpy, TensorFlow, Power BI, MS Office Suite 365, VLSI, AWS, Embedded Systems, MongoDB, Python IDLE, Arduino IDE, MySQL, Open Source Software. Technologies: Machine Learning, Data Science, Deep Learning, Natural Language Processing, Computer Vision, Data Modeling, Data Analysis, Data Visualization, Database Management, Statistical Analysis, Descriptive Analysis, MS Excel, Apache Kafka, Embedded Systems.

Education

University of Memphis, MS in Data Science Aug 2022 – May 2024

• Coursework: Data Science, Machine Learning, Database Systems, Advanced Statistics, Data Mining, Web Analytics.

Jawaharlal Nehru Technological University, BTech in Electronics and Communication Engineering

Jun 2017 – Jul 2021

• Coursework: Digital Signal Processing, Embedded Systems, C Programming, JAVA, Network Analysis, Electronics, Business Analytics, VLSI.

Projects

Facial Expression Recognition

• Classifying human feelings from images with accuracy up to 98%. It involves in the design of real-time sentiment analysis by implementation of convolutional neural networks using TensorFlow.

• Tools Used: Python, TensorFlow, Convolutional Neural Networks, Deep Learning. Apache Kafka for Real-Time Analysis of Wikimedia Data

• Design a robust architecture with Apache Kafka and OpenSearch that ingests and analyzes real-time Wikimedia data, enhancing the access and analytical capability regarding the same data.

• Tools Used: Apache Kafka, Python, Open Source Software, OpenAPI, MySQL. Fast-Food Nutrition Classifier

• Built a machine learning model for the classification of fast food’s nutrition through K-Means Clustering and Random Forest with an accuracy of 99.22%.

• Tools Used: R Programming, Machine Learning, Statistics, Pandas. Autonomous Fire Fighting Robot

• Designed and developed a robot with automatic navigation and flame detection sensors, presented at the International Conference of Smart Modernistic in Electronics and Communication (ICSMEC-2020).

• Tools Used: Arduino IDE, C Programming, Embedded Systems. Certifications

• Design Power BI Reports(Highgest Badge achieved) (Microsoft Learning)

• Business Data Analytics Intelligence with Python (Udemy)

• Generative AI with ChatGPT and OpenAI API (Udemy)

• AI for Everyone (Deeplearning.ai, Coursera)

• Supply Chain Fundamentals: Analytics (LinkedIn Learning)

• Python Data Structures (University of Michigan, Coursera)

• Python for Everybody (University of Michigan, Coursera)

• AWS Fundamentals: Going Cloud-Native (Amazon Web Services, Coursera)

• Managing Project Risks and Changes (University of California, Coursera)

• Leadership and Emotional Intelligence (Indian School of Business, Coursera)

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