Hi, I'm Yash Moodi
A Data Analyst
A Data Analyst, Problem Solver, and Quick Learner with a passion for uncovering insights from data. I thrive on solving complex challenges using Power BI, Machine Learning, and Azure Cloud to drive impactful decisions.
About
I am a Computer Science student at C.K. Pithawala College with a passion for data analysis and visualization. Through internships at JP Morgan, PwC, and Accenture, I’ve gained hands-on experience in Power BI, Machine Learning, and Azure Cloud. I thrive on solving real-world problems through data-driven insights, turning raw data into impactful decisions.
- Languages: Python, Java, C, C++, HTML/CSS
- Databases: MySQL, PostgreSQL
- Libraries: NumPy, Pandas, Matplotlib, Seaborn
- Frameworks: TensorFlow, Keras, Flask
- Tools & Technologies: Power BI, Azure Cloud, Git, D3.js, HTML5 Canvas, SVG, Google Charts API, Google Maps API
Seeking a dynamic role that leverages my data analytics and visualization skills, offering opportunities for growth, innovation, and impactful problem-solving.
Experience
A Multinational Conglomerate Specializing in Engineering, Construction, and Technology Services.
- Worked on GPU & power optimization using unsupervised ML techniques on NVIDIA GPU telemetry data.
- Performed detailed EDA on 15+ GPU metrics including power draw, memory usage, and temperature.
- Built clustering models to identify workload patterns and reduce power usage inefficiencies.
- Designed automated dashboards to track real-time GPU performance using Python & Plotly.
- Developed insightful Power BI dashboards for cross-functional reporting and real-time monitoring.
- Built a project on Retrieval-Augmented Generation (RAG) using Optical Character Recognition (OCR) to extract and query scanned documents intelligently.
- Tools: Python, Scikit-learn, Matplotlib, Plotly, Power BI, Pandas, Jupyter, Unsupervised Learning, OCR
A technology-driven company focused on delivering advanced IT solutions, automation, and enterprise support systems.
- Analyzed large-scale operational data to identify inefficiencies in business processes and recommended data-driven improvements.
- Built predictive models to forecast customer behavior and improve service personalization.
- Conducted data cleaning and outlier treatment to prepare raw client datasets for advanced analytics.
- Developed a semi-automated system to extract insights from invoices and forms using OCR and spaCy NLP pipelines.
- Created interactive Power BI reports that tracked project KPIs and generated weekly insights for stakeholders.
- Tools: Python, Power BI, Pandas, Seaborn, spaCy, OCR, NumPy, Git
A Non-Profit Organization Focused on Technology Training and Research.
- Performed data preprocessing and exploratory analysis to derive insights.
- Developed interactive Power BI dashboards for real-time data visualization.
- Implemented ML models, improving classification accuracy by 15%.
- Optimized data workflows, reducing report generation time by 30%.
- Tools: Python, Power BI, NumPy, Pandas, Machine Learning, Azure
Projects
Conducted a detailed analysis of the mutual fund landscape in India, highlighting key trends in investment patterns, fund categories, and market behavior.
- Tools: Python, Power BI, Matplotlib, SEBI Reports
- Analyzed performance data of small-cap, mid-cap, and multi-cap funds over the last 5 years.
- Explored SIP growth trends and investor behavior using visual analytics.
- Mapped fund flows and sectoral allocation to identify emerging investment hotspots.
- Created easy-to-understand dashboards and wrote summary insights for beginner investors.
Explored hiring trends and skill-based demand across industries to uncover emerging opportunities for fresh graduates.
- Tools: Python, Pandas, Power BI, Matplotlib, Seaborn
- Analyzed hiring patterns across domains using curated fresher datasets.
- Created interactive dashboards to visualize demand by industry, location, and skillset.
- Highlighted top sectors and roles with high fresher absorption potential using trend forecasting.
Researched and analyzed how AI is transforming the world of sports — from player performance to injury prevention and fan engagement.
- Tools: Python, Power BI, NLP, Research Writing
- Explored AI applications in game strategy, training optimization, and performance prediction.
- Analyzed real-world use cases from football, tennis, and cricket integrating AI models.
- Visualized injury risk and workload balance using advanced metrics in Power BI.
- Published insights in a research-style article simplifying complex AI concepts for sports use cases.
Studied the India–UK Free Trade Agreement (FTA) and its implications across various economic sectors through in-depth data analysis and policy research.
- Tools: Power BI, Government Reports, Policy Research, Excel
- Analyzed trade flow trends between India and the UK using secondary data from credible government sources.
- Visualized sector-wise trade advantages, tariff benefits, and potential GDP impact via interactive dashboards.
- Explored industries like automobiles, textiles, pharma, and IT for bilateral trade impact forecasts.
- Drafted insights and simplified trade policy outcomes for non-specialist readers and fresh graduates.
Developed a responsive virtual drag-and-drop interface for web applications, allowing users to interactively move items in real-time using a clean UI/UX structure.
- Tools: HTML5, CSS3, JavaScript, DOM APIs, Git
- Created a modular drag-and-drop feature with intuitive design and responsiveness.
- Implemented event-based logic for smooth dragging, real-time UI updates, and drop-zone validation.
- Focused on user experience and accessibility for both desktop and mobile interfaces.
- Code is lightweight and optimized, making it ideal for modern dashboard or task management systems.
Skills
Languages and Databases
Python
HTML5
CSS3
MySQL
PostgreSQL
Shell Scripting
Libraries
NumPy
Pandas
OpenCV
scikit-learn
matplotlib
Frameworks
Django
Flask
Bootstrap
Keras
TensorFlow
PyTorch
Other
Git
AWS
Heroku
Education
Citizen High School, Gujarat Secondary and Higher Secondary Education Board (GSEB)
Surat, Gujarat, India
Qualification: Higher Secondary Certificate (HSC)
Board: Gujarat Secondary and Higher Secondary Education Board (GSEB)
Year of Completion: 2022
Percentage: 61%
Relevant Subjects:
- Mathematics
- Physics
- Chemistry
- English
- Computer
C.K. Pithawala College of Engineering and Technology, Gujarat Technological University (GTU)
Surat, India
Degree: Bachelor of Technology in Computer Science
University: Gujarat Technological University
CGPA: 9.0/10.0
Relevant Courseworks:
- Data Structures and Algorithms
- Database Management Systems
- Operating Systems
- Machine Learning
- Data Mining
- Data Visualization