Data Financial Analyst

Urmil Tamboli

347-***-**** ******@***.*** linkedin.com/in/urmil-tamboli github.com/urmiltamboli Education

New York University Brooklyn, NY, USA

Master of Science in Management of Technology, Specialization in Data Analytics, CGPA = 3.81/4 Sept. 2019 – May 2021 Courses: Business Analytics, Machine Learning, Statistics for Data Analysis, Programming for Business Intelligence and Analytics, Data Engineering, Operations Management, Accounting and Finance. Udacity Online

Data Analytics Nanodegree and Business Analytics Nanodegree June 2020 – Aug. 2020 Courses: Statistics, Data Wrangling, Data Visualization using Python, Data Storytelling,Tableau Dashboard Design, Excel Modeling. Narsee Monjee Insitute of Management Studies Mumbai, Maharashtra, India Bachelor of Technology in Mechatronics Engineering July 2016 – May 2019 Courses: Industrial Robotics, Object - Oriented Programming, Micro-electro Mechanical Systems Experience

Financial Analyst Intern Sept. 2020 – Present

Chartwells Higher Education Dining Services New York, NY

• Interacted with 10 dining locations to attain invoices worth $120k per week to process them and performed preliminary check runs to determine cash requirements.

• Increased forecasting accuracy by 5% and overall revenue by 1% through creation of organized system helping streamline proper flow of data where no data was lost, which helped in better forecasting.

• Yielded better results within financial reports and reduced inventory errors by 10-15% by working with team to educate employees regarding proper inventory management system and how to feed numbers correctly. Business Development Intern June 2020 – Aug. 2020

New York Speech Coaching New York, NY

• Slashed miscommunication variance by 10% by creating a CRM database to devise databases for analysis in SAP system.

• Enhanced efficiency of current business model by 30% using different tools such as SQL and Excel for visualization. Operations Analyst Intern Aug. 2019 – May 2020

Chartwells Higher Education Dining Services New York, NY

• Minimized process discrepancies by spearheading budget, supervising staff and controlling inventory and supply management.

• Vetted sales trends by supporting surveys, contests, and promotions to vet progress of sales using A/B testing in Python and Excel.

• Performed seminars to educate 1k+ incoming students about meal plan benefits; sold 125+ meal plans in 3 weeks and gathered feedback helping increase sales numbers by 15% within 4 weeks. Technical Analyst Apprentice Dec. 2015 – May 2016

Air India Engineering Services Ltd Mumbai, Maharashtra, India

• Initiated thorough analysis using SQL database and R, and crafted regression model to predict maintenance date preventing catastrophic failure.

• Reduced fatality rate by 5%, rectifying issues regarding locating wheels’ discrepancies by assessing previous SQL server datasets. Projects

Email Spam Filtering Python Dec. 2020

• Engineered machine learning model to pinpoint spam and manage emails from datasets with accuracy of 80%.

• Applied logistic regression model in Python to classify emails using packages such as numpy, pandas, sklearnn and scipy Analysis of Ford GoBike System Data of San Francisco Bay Area Python July 2020

• Disputed and cleaned dataset to conduct different univariate, bivariate, and multivariate explorations using Python libraries such as numpy and pandas.

• Produced visuals in Jupyter notebook using libraries such as matplotlib and scaborn to address questions. Visualizing Flight Delay Tableau July 2020

• Audited dataset and created dashboards in Tableau to gather dynamic insights from data. Financial Analysis and Forecasting of NYSE data Microsoft Excel June 2020

• Reviewed NYSE data in Excel using pivot tables, which supported development of dashboard for PL statements and graphs for different GISC sectors and sub-industry.

• Generated financial model predicting gross and operating profit and EBIT for 2 years using best, worse, and base case using analyzed data. Data Acquisition, Wrangling and Analysis of Twitter Data Python May 2020

• Attained data from Twitter account using Twitter API and used tweepy library to access database into pandas dataframe.

• Used requests and BeautifulSoul libraries to extract tweets and cleaned the dataset using pandas.

• Examined cleaned dataset and devised visual from findings using matplotlib and seaborn. Technical Skills

Analytical Skills: ML Regression Analysis, ETL, Financial Planning and Analysis, Budgeting, Forecasting, Statistical Analysis Software: Advance MS Excel, MS Word, MS Access, MS SharePoint, MS Visio, MATLAB, Solid Works, Solid Edge, AMPL, AutoCAD Programming Languages: R(dplyr, tidyr), Python(Pandas, Numpy, Matplotlib, Scikitlearn, Seaborn), SQL, SAS, SPSS, Excel VBA Visualization Tools: Tableau, Excel, PowerBI, Alteryx Databases: Oracle, MS SQL, MySQL

Languages: English, Hindi,Gujarati, Marathi, German (A1)

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