EDUCATION

RAHUL DHANASIRI

312-***-**** • adg9vz@r.postjobfree.com • LinkedIn: rahul-dhanasiri • GitHub: RahulDhanasiri University of Illinois at Chicago, Liautaud Graduate School of Business – Chicago, IL May 2021 Master of Science in Business Analytics (STEM), Dept. Information and Decision Sciences; GPA: 3.55/ 4 Relevant Courses: Statistical Analysis, Data Mining, Machine Learning, Neural Networks, Data Visualization, Big Data, Text Analytics, Natural Language Processing, Marketing Analytics, MLOPS, Corporate Finance & Marketing Osmania University – Hyderabad, Telangana, India June 2017 Bachelor of Engineering in Electronics and Communication Engineering; GPA: 3.5/4 PROJECTS

Predicting Loan Default & Developing Investment Strategies Tools: R Spring 2020

• Developed a classification (using GBM and random forest) to predict if a loan will default and subsequently developed investment strategies to maximize the profits based on metrics such as lift for Lending Club. Market Segmentation Using Cluster Analysis Tools: R Spring 2020

• Performed market segmentation for a market research agency using demographics, purchase behavior, and basis of purchase

(using K-medoids, AGNES and DBSCAN) in order to better advice brands on advertising and promotion strategies and to design more effective consumer reward and increase brand loyalty. Opinion Mining of User-Based Content Tools: R Spring 2020

• Performed text mining of user-based review data and sentiment analysis by bag of words approach to extract and tag each review to a score and then predict the review sentiments (Naïve Bayes & SVM) using TF-IDF. PROFESSIONAL EXPERIENCE

Amazon Development Centre (India) Private Limited Tools: SQL, Tableau, Excel Summer 2019 Transportation Analyst (Intern)

• Evaluated fulfilment Center’s data using Amazon’s internal tools to provide or cancel trucks(around 1000), based on the forecasts of the packages at the site which facilitated on time delivery of the packages and also reduced around 250K USD additional costs.

• Developed Tableau dashboards to communicate the accuracy of the model forecasts to the Machine Learning team which reduced the number of tickets received by the ad-hoc transportation team by 12.5%. Accenture Services Private Limited Tools: C#, BluePrism, UiPath, MySQL, Excel 2017 – 2019 Associate Software Engineer

• Designed and developed, an AI enabled chatbot using IBM Watson integrated with RPA tool (BluePrism) to solve ITSM tickets without any human intervention, which resulted in reduction of 80% of tickets directed to support team.

• Analyzed and documented 22 business processes in scope of automation and translated them into process workflows and Visual Business Objects which reduced the efforts which in turn led to cutting down of the team size by five FTE.

• Developed an automated mailing system which fetches data from various servers and manipulates the data into KPIs and CSIs, and sends emails to the leads, using VBA code (Excel).

• Prepared comprehensive test cases and performed testing to reduce post-deployment issues from 12.5% to 4%.

• Mentored and trained 10 new recruits on application functionality, architecture, and ETL jobs. Qrius Tools: Excel, PowerPoint August 2017 - September 2017 Marketing Analyst Intern

• Devised a plan to interact with potential consumers as a part of peer to peer marketing strategy and submitted a Marketing Thesis on Bench marking of Digital Marketing Strategies. SKILLS & INTERESTS

Analytical Tools: Python, SQL, NoSQL (MongoDB, Neo4j), Excel, VBA, HTML, NLP, Web Scraping, Tableau; Python packages: NumPy, Pandas, SciPy, Matplotlib, Sci-kit, TensorFlow, PyTorch, PySpark, BluePrism, UiPath Specialization: Text Analytics, Data Mining, Data Pre-Processing, Visualization, Statistical Modeling, Predictive Analysis Machine Learning: Linear and Logistic Regression, KNN, Decision Trees, Clustering, Random Forests, SVM, Boosting