Arshiya Anjum

*** ******** **, ********, ** ***** 860-***-**** adcdyo@r.postjobfree.com www.linkedin.com/in/arshiya-anjum SUMMARY

Enthusiastic Graduate student with a keen interest in deriving actionable insights from data and provide solutions to business problems EDUCATION

University of Connecticut School of Business Hartford, CT Master of Science in Business Analytics and Project Management, CGPA=3.862/4.00 August 2019-Present Relevant Coursework: Predictive Modelling, Statistics, Big Data with Hadoop, Deep Learning, Data Management, Business Process Modelling, Project Management, Business Decision Modelling, Data Mining and Business Intelligence National Institute of Technology Andhra Pradesh, India Bachelor of Technology in Electronics and Communication, CGPA = 7.57/10 July 2015-May 2019 EXPERIENCE

UConn Graduate Consulting, Graduate Analytics Consultant October 2019 – Present Adlineup Firm:

• Lead Conversion analysis: Developed data mining framework to analyze the leads and identify features that influenced successful client onboarding, setup regular reporting of the key indicators using Tableau Blue Earth Compost:

• Strategized marketing plan using Google Analytics by identifying lucrative markets and potential customers using demographics

• Cleaned, merged large datasets into single usable database using Python & MS Access, reduced calculation time by 20% and performed regression and random forest models to predict company’s revenue with an accuracy of 79%

• Reduced manual labor by 10 hours per month by creating real-time dashboard on PowerBI to report profits every month University of Connecticut, Graduate Teaching Assistant-Statistics August 2019-Present

• Elucidated students’ questions on time series forecasting techniques, statistical analysis and advanced data mining concepts for a class of 50 students

National Institute of Technology Andhra Pradesh, Researcher August 2018-May 2019 A Filtering Method for Classification of Motor-Imagery EEG Signals for Brain-Computer Interface

• Potential tasks of unhealthy paralyzed patients were discovered by building several classifications models [J48, Random Forest, Naive Bayes], implemented feature engineering and exploratory data analysis using Python

• Naive Bayes forest was chosen as best model with 95.5 % accuracy National Institute of Technology Warangal, Research Intern May 2018- July 2018

• Designed an IoT based Home automation system using Node-RED leveraging WiFi and Bluetooth Modules ACADEMIC PROJECTS

Text Analytics- Trending YouTube Video Statistics

• Estimated the probability of video to go trending based on time and day it is released and determined the impact of user interactions such as likes, views, comments, dislikes on trending content

• Conducted Natural language processing on the titles and taglines of the video using Python Fraud Analytics- Credit card Risk analysis

• Identified default customers for a bank in Taiwan based on customer characteristics

• Performed data analysis, transformation and built different models using R for predicting probability of credit card default of customers. Best model was chaid decision tree with 90% accuracy University guidance database

• Created an E-R diagram and swimlane diagrams for business model

• Designed a database in SQL for all universities where student can enter their requirements and gets the list of best fit universities SKILLS

Modeling and Analysis: R, SQL, JAVA, C++, C, HTML, Python, Spark, Pig, Hive, Hadoop MapReduce, QlikView Software & Tools: Tableau, Node-Red, MATLAB, MS Excel, Latex, MS Project, Google Analytics, Power BI Statistics and Machine Learning: Probability and Sampling Distributions, Statistical Tests and P values, Linear Regression, Logistic Regression, Discriminant Analysis, Naïve Bayes, Tree Based Methods, Support Vector Machines, Principal Component Analysis, Clustering, Ensemble models, K-NN, Data Reduction, Preprocessing and Visualizations, Neural Networks PUBLICATIONS

Arshiya Anjum, Ravi Kishore Kodali "IoT Based Home Automation using Node-RED" Second International Conference on Green Computing and Internet of things 2018 Arshiya Anjum, P Sri Ramya, Abhijit Bhattacharyya, Ram Bilas Pachori, K Yashasvi "A Filtering Method for Classification of Motor-Imagery EEG Signals for Brain-Computer Interface" 5th International Conference on Signal Processing, Computing and Control 2019 EXTRA CURRICULARS

• Joint Secretary and Executive Member at ECE Association, NIT Andhra Pradesh 2017-2019

• Student Coordinator at National Service Scheme, NIT Andhra Pradesh 2016-2018

• Sergeant at arms of ‘Vulcanzy’, Techno cultural fest at NIT Andhra Pradesh 2017