Data Analyst Power Bi

Darshil Vora

623-***-**** • ************@*****.*** • linkedin.com/in/darshil-ashishbhai-vora/ • github.com/Darshil-Vora07 PROFESSIONAL EXPERIENCE

Cintana Education LLC, Tempe, AZ: Data Analyst 07/2024 – Present

● Developed and maintained data models using Excel, enhancing data accuracy and reducing reporting time by 20%.

● Built a cross-functional Power BI KPI dashboard with Power Query, partnering across Operations and Services teams to pinpoint bottlenecks; boosting partner performance tracking and speeding program launches by 27% globally.

● Improved key business functions by managing projects in ASANA for stakeholder analytics, automating HubSpot sales workflows with Power Automate to expedite lead qualification, and enabling real-time analysis across 22+ campaigns.

● Automated ETL data pipeline, validation, and report routing in Google Docs using Google Apps Script and Google Analytics, enabling 100% data consistency, eliminating manual rule application, and streamlining data visualization. Arizona State University, Tempe, AZ: Math Grader Instruction Aide 08/2023 – 05/2024

● Collaborated with the mathematics faculty by preparing materials, grading, leading discussions, and utilizing Excel to analyze student performance of over 200 students across multiple sections of calculus, algebra, and statistics classes. YoShops, Remote: Data Science Intern 03/2022 – 05/2022

● Redesigned a Python script with Selenium to automate the extraction of over 300 product listings, improving market analysis efficiency and revealing business insights into consumer trends and pricing strategies.

● Utilized SQL queries and machine-learning techniques to transform over 5000 rows of complex raw data into comprehensive insights, improving decision-making by enabling strategic recommendations and data manipulation.

● Engineered interactive Power BI dashboards from five years of company order history, revealing critical purchasing trends that guided new marketing and sales strategies, which contributed to a 10% increase in repeat customers. Feynn Labs, Remote: Machine Learning & Data Analytics Intern 12/2021 – 02/2022

● Optimized data quality and operational processes by cleaning and preprocessing large datasets with SQL, Excel, and Python, resulting in a 5% increase in data reliability and refining product direction for predictive modeling application.

● Collaborated on a real estate market segmentation project by analyzing trends, strategy meetings, and implementing classification algorithms, increasing segmentation accuracy by 12%, and providing research-driven insights. The Sparks Foundation, Remote: Data Science Intern 10/2021 – 11/2021

● Achieved 87% accuracy in predictive modeling by applying supervised ML techniques to a large-scale data project.

● Applied k-means clustering unsupervised learning techniques to analyze over 10,000 data records, uncovering key customer segments and highlighting trends, correlations, and anomalies to inform marketing and improve decisions. TECHNICAL SKILL

Programming Languages & Software: Python, SQL, C, C++, HTML, VBA, Google Analytics, HubSpot CRM, Jupyter Notebook Databases & Visualization: Power BI Dashboard, Matplotlib, Seaborn, Tableau, SAS, SPSS, PostgreSQL, MySQL, SSMS, Fabric Project Management: Agile, Documentation, Data Management, Communication, A/B Testing, Data Quality, Business Insights Machine Learning: Pandas, Scikit-Learn, NumPy, TensorFlow, Random Forest, DBScan, Data Warehousing, Data Mining, ETL Data Analytics: Data Modeling, Data Visualization, EDA, Statistical Analysis, Trend Forecasting, Pattern Recognition, KPIs, DAX Big Data & Cloud Platforms: Apache Spark, Hadoop, AWS, Google Cloud Platform, Azure, Airflow, Hadoop, DBT, Snowflake EDUCATION

Master of Science in Computer Science 05/2024

Arizona State University, Tempe, AZ 3.60 CGPA

Bachelor of Engineering in Computer Engineering 06/2022 Kadi Sarva Vishwavidyalaya, Gandhinagar, GJ 3.93 CGPA RELEVANT COURSES

Machine Learning, Data Processing at Scale, Fundamentals of Statistical Learning, Data Mining, Data Visualization, Big Data, Data Structures, Neural Networks and Deep Learning, Knowledge Representation, Database Management, Software Testing RELEVANT PROJECTS

Time Series Analysis using CGM data (Data Analysis, Data Mining, Data Visualization, Python) 01/2023 – 05/2023

● Analyzed over 50,000 data points using advanced machine learning models (K-Means, DBScan) to detect and categorize patterns in glucose levels, significantly enhancing patient treatment plans.

● Directed advanced health data features and custom visualizations (Matplotlib, Seaborn) that simplified complex patient metrics, enabling an 8% improvement in the accuracy of clinical decision-making.

● Guided the development of targeted treatment strategies, boosting patient outcome efficiency by 13%.

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