Data Analyst

MUSKAAN HAZARI

Email: ****************@*****.*** LinkedIn: linkedin.com/in/muskaan-hazari

Proactive and self-motivated professional with a passion for analytics and knowledge in business, finance, and marketing domains. Creative problem solver with strong communication skills and proficiency in data analytics tools and techniques. EDUCATION

MS in Business Analytics, Syracuse University, NY, USA GPA – 3.6/4.0 Aug 2022 – May 2024

• Relevant Coursework — Data Analysis & Decision Making, Business Analytics, Data Science, Principles in Management Science, Marketing Analytics, Database Management Systems, Financial Analytics, Lean Six Sigma, Visual Dashboard Analytics, Machine Learning in Business, Scripting for Data Analytics, Data Warehouse. Bachelor of Business Administration, BAMU University, India GPA – 3.7/4.0 Jul 2018 – Aug 2021

• Relevant Coursework – Business Statistics, Financial Accountancy, Mathematics, Management Perspective, Entrepreneurship, Capital Markets, Human Communication in Business IT Application, Cost Accountancy, Accounting. PROFESSIONAL EXPERIENCE

Data Analyst Intern GlobalShala May 2022 – Jun 2022

• Collaborated with the marketing team to utilize R Studio and Excel for analyzing over 40 ad campaigns, focusing on Key Performance Indicators (KPIs).

• Created Tableau visualizations to communicate insights and enhance data accessibility and understandability for the team.

• Identified 9 underperforming ad campaigns, contributing to company's bottom line and resource allocation.

• Delivered a presentation to the marketing team on findings, recommending the discontinuation of 4 underperforming campaigns and providing strategies for future campaigns.

Business Analyst Forage Nov 2022 – Jan 2023

• Conducted a customer churn analysis simulation, showcasing advanced data analytics skills and strategic investigation.

• Utilized Python with Pandas and NumPy for data analysis, employing visualization techniques for trend interpretation.

• Engineered and optimized a random forest model, achieving 85% accuracy in predicting churn.

• Delivered a concise executive summary for the Associate Director, providing actionable insights for decision-making. ACADEMIC PROJECTS

University Search Portal: Aug 2022 – Dec 2022

• Crafted and developed a versatile database with 50+ entries encompassing a wide range of entities. Developed both conceptual

& logical data models, laying the groundwork for streamlined database design, development, and management.

• Automated complex data validation processes through 2 procedures, reducing manual effort and improving efficiency.

• Implemented views using SQL to simplify data access and enhance query performance in the database.

• Engineered a Power App that enables dynamic display and filtering of results using diverse search criteria. Healthcare cost prediction: Aug 2022 – Dec 2022

• Conducted dataset preprocessing, followed by exploratory data analysis and data visualization in R and Tableau.

• Presented a comparative study between variants of Multiple Regression models and Support Vector Machine (SVM) in R.

• Optimized the model performance using techniques like feature selection, hyperparameter tuning, data normalization, and handling class imbalance to ultimately achieve 88% accuracy and 97% sensitivity using SVM.

• Created a Shiny app to present actionable insights and allow for real-time cost prediction. TECHNICAL SKILLS

• Programming Languages: Python, R Programming, C++, C, HTML, Java.

• Tools: SQL, Tableau, Power BI, Excel, Snowflake, MS Office Suite, Google Analytics, Azure Data Studio, AWS, Minitab, Visio, AWS Redshift, Confluence, Alteryx, Jira, Hadoop, MS SQL, T-SQL.

• Libraries & Packages: Pandas, Matplotlib, NumPy, Seaborn, Plotly, Cufflinks, Scikit-Learn, Tensorflow, Keras, PyTorch, Rcmdr, ggplot2, jsonlite, tidyverse, caret, kernlab, dplyr, imputeTS, Shiny, tidyr, forecast, data.table, JSON.

• Techniques & Concepts: goal seek, pivot tables, time-series modeling and forecasting, solver optimization, power query, power pivot, spreadsheet analytics, deep learning, stored procedures, triggers, views, hypothesis testing, clustering techniques, data visualization, data mining, predictive modeling, linear regression, dashboard design, decision tree, logistic regression, agile development, macros, 3D Maps, PCA, KPI, SAS, SEO, ANOVA, VBA, ETL, ELT, VIF, VLOOKUP.

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