Teaching Assistant

KIRTHI NAGORI

* ***** *******, *** ****, San Jose, 95134 CA

Cell : +1-720-***-**** e-mail : ******.******@********.*** SUMMARY OF EXPERIENCE

Current student at the University of Colorado, Denver pursuing Business Analytics. Well versed with SQL, JMP, Python, R programming, and Tableau. Excellent understanding of Statistics and Statistical Methods.Very good MS Excel skills.

Software experience with Microsoft Office Suite and CCH access (Deloitte tool for analytics). Developed models and carried out the analysis in R, Python, and advanced Excel creating Pivot Tables, Lookups, Macros, and more. EDUCATION

University of Colorado Denver, Denver, CO, 2021

Master’s in Business Analytics (MSBA), 3.77/4 GPA

Fall 2019 courses: Statistics for business analytics, Computing for business analytics, and Supply chain analytics

Spring 2020 courses: Time series forecasting, Prescriptive analytics w/ optimization, and Data visualization.

Fall 2020 courses: Predictive Analytics, Text Data Analytics, and DBMS.

Spring 2021 courses: Decision Analysis.

Master SQL for Data Science Certification from Udemy. Tableau Public profile: https://public.tableau.com/profile/kirthi6237 newProfile=&activeTab=0 SRM University, Chennai, India, 2017- Master of Business Administration, Finance, 7.63/10 GPA Analytics Projects/Cases

1. E-commerce - The Olist Brazilian Ecommerce Project using Python: o Carried out extensive pre-processing, EDA analysis, and correlation analysis on the dataset. o Used Python packages (Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn) for analyzing the data. o Build various regression models and used other techniques such as kNN, statistical techniques, etc. 2. Effect of schooling on women’s fertility:

o Carried out extensive pre-processing, EDA analysis, and correlation analysis on the dataset. o Built linear regression models in R. Used various feature selection techniques - Stepwise AIC and Best subset. o Performed cross-validation on the testing dataset and used K-fold cross-validation. o Build a non-parametric model – Quantile regression and models using advanced machine learning techniques such as Decision Tree, Random Forest, SVM, kNN and compared the different models. 3. COVID19 Xcel Energy Consumption Impact:

o Analyzed the average electricity consumption for 3 groups – Residential, Large Commercial & Industrial, and Small Commercial & Industrial.

o Build various time series models such as ARIMA, STL decomposition, Seasonal Naïve, Neural networks, using R. o Did the model comparison and predicted the average sales for the upcoming months. Also, analyzed the COVID-19 impact on the average consumption for each of the 3 groups.

4. Sentimental Analysis using R on Tweets with #JoeBiden and #DonaldTrump: o Scrapped tweets using Twitter API and pulled tweets to perform sentimental analysis on tweets. o Analyzed Twitter user's opinions for the presidential candidates and identifying their sentiments towards these candidates using various NLP packages and creating word clouds.

o A commonality and comparison word cloud to distinguishing the sentiments expressed. PROFESSIONAL EXPERIENCE

UC Denver, Denver, Colorado, August 2019 to present o Teaching Assitant for Business analytics(BANA3000 and BANA2010) by Prof. Martin Sabo o Graduate Student Assistant for the Risk Management and Insurance Department (Financial Budgeting). Deloitte, Hyderabad, India, May 2017 – June 2019

Tax Consultant - II

Managed taxation engagements in teams located across the US and Indian sub-continent.

Analyzed GAAP based financial statements and auditing documents provided by the clients for accuracy, validity, and legalities defined by the US tax code.

Leveraged tools such as Advanced MS Excel and Go-system and CCH access (Deloitte tools) to develop forecast models for quarterly and annual estimated tax returns and annual extensions.

Awarded outstanding participant in USI Tax Client Service Readiness, new hire training program, and a spot award for highly collaborative, accurate, and result-oriented work.

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