NIVEDYA ASHOKAN

adgwg7@r.postjobfree.com, www.linkedin.com/in/nivedyaashokan, https://github.com/nivedyaa, +1-215-***-**** EDUCATION

Drexel University, LeBow College of Business Philadelphia, PA Master of Science in Business Analytics, CGPA: 3.97 March 2020 National Institute of Technology Calicut India

Bachelor of Technology in Civil Engineering May 2017 EXPERIENCE

Paladion Reston, VA

Data Scientist June 2020 – present

• Performing data cleaning, transformation and reduction of large unstructured data containing log entries from DNS servers using Python

• Leveraging unsupervised learning methods to anticipate and detect cyber threats to provide high speed cyber defense Avid Technology Boston, MA

Data Analyst Intern June 2019 – September 2019

• Enhanced the entire payroll audit in USA & Mexico saving 95% of the time and manual effort spent on it biweekly, by automating it using ETL processing on DOMO with data extracted from Workday and ADP, and transformed using SQL

• Enabled self-sufficiency on the use and troubleshooting of the payroll audit processes by creating a user manual and by presenting to and training the US and UK Human Resources team virtually

• Built an ETL process that automates the calculation of employee satisfaction survey scores using regression analysis and created live dashboards that visualize the leading and lagging factors along with the scores Tejuri (Department of Economic Development, Government of Dubai) Dubai, United Arab Emirates Market Research Intern April 2018 – August 2018

• Collected and analyzed the data on all the businesses and services in Dubai for the development of the Government’s online platform (HiDubai) that helped make the city more accessible to residents, tourists and local businesses

• Worked collaboratively with app development team to investigate, document and report bugs, errors, and vulnerability within HiDubai software applications and website, while also achieving 100% data accuracy DUTCO Balfour Beatty Dubai, United Arab Emirates

Civil Engineering Trainee May 2016 – June 2016

• Actively involved in the procurement and vendor management for Project EXPO 2020 after sending the Bills of Quantities to 200+ contractors and speaking to each subcontractor individually regarding their tender

• Performed estimation, cost control and risk analysis while estimating timescales and meeting deadlines (Tool – Primavera) TECHNICAL SKILLS

Software: R, Python, SAS, SQL, Tableau, SPSS, MS Excel, Java, C, DOMO, eViews, Minitab Statistical Techniques: PCA, Logistic Regression, Hypothesis Testing, Clustering, Decision Trees, Random Forest, Time Series Analysis, Support Vector Machine, Neural Networks

PROJECTS

Credit Card Fraud Detection

• Performed data cleaning and transformation to eliminate class imbalance and missing values

• Performed logistic regression, k-nearest neighbor, neural network, support vector machine and random forest models and then created an ensemble model of majority vote to predict fraudulent transactions (Tools – R Studio) Measure the effectiveness of recent software updates in music apps (Text Mining & Sentiment Analysis)

• Performed data cleaning, lemmatization, and sentiment analysis of user reviews (Tool – R Studio)

• Visualized trends using WordClouds and bar plots (Tools – R Studio, Tableau)

• Identified business problems and provided recommendations to increase customer value of each app Forecasting Tesla’s stock price

• Collected data of factors affecting stocks from various sources including extracting Elon Musks’s tweets from Twitter

• Created ARIMA and regression models to perform time series analysis for prediction of stock price (Tool – Eviews) LEADERSHIP AND ACTIVITIES

Graduate Student Association, Event Coordinator, March 2019 - March 2020 Graduate Business Analytics Club, Event Coordinator, February 2019 – March 2020 Beta Gamma Sigma, Member, May 2019 - present

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