Aashitha Vishwanath Koushik

+1-508-***-**** adjl0r@r.postjobfree.com Boston, Massachusetts https://www.linkedin.com/in/aashitha/ Analyst with over 2 years of experience in managing and building business capabilities from the ground up across financial and management consulting domains and with sound foundations in statistical modeling using python and data querying in SQL with a specialized focus on machine learning and data visualization.

EDUCATION

Master of Engineering (M.Eng.) in Engineering Management from Stevens Institute of Technology, Hoboken, NJ, Date of Completion: Dec 23, 2020

GPA: 3.8/4

Coursework included: Web Mining, Statistics, Machine Learning, Big Data Technologies, Business Intelligence and Social Media Analytics Bachelor of Engineering (BE) in Telecommunication Engineering from Visveswaraya Technological University, Bangalore, IN, 2015 TECHNICAL PROFICIENCIES

Languages & Databases: SQL(MySQL, SQL Server), MongoDB Data Visualization Tools: Tableau, PowerBI

Machine Learning Algorithms: Regression, Clustering, Classification, SVM Packages: NumPy, Scikit-learn, Pandas, Matplotlib, PySpark, NLTK Software & Tools: Excel, AWS, Apache Spark, JIRA, Confluence, TFS, SharePoint Certifications: Machine Learning, Tableau Desktop, Deep Learning, Big Data PROFESSIONAL EXPERIENCE

SPURTREE TECHNOLOGIES 08/2016 – 06/2018

Business Analyst

Designed, tested and launched 2 cutting-edge apps for Android and iOS platforms. o Incorporated Agile methodologies across product, development & testing processes.

Developed a finance business architecture plan for Broadridge Financial Solutions. o Encompassed requirements, design cases, potential user workflows, testing scenarios, and application delivery roadmap.

Obtained understanding of business needs through collaboration with key stakeholders, QA and UX design teams. o Utilized wireframes and product demo techniques.

Achieved customer satisfaction and met quality KPIs by utilizing customer centric strategies: regression, usability and A/B testing.

Maintained data integrity through creation of SQL queries and statements for use in manipulating data.

Awarded “The Best Debutante” for performance excellence. ACADEMIC PROJECTS https://public.tableau.com/profile/aash#!/ Customer Analytics using K-means clustering

Identified target customers for a retail store by segmenting existing customers into clusters based on attributes (i.e., demography

& purchase behavior)

Linear Regression modeling using Ordinary Least Square(OLS) algorithm

Extracted data from Spotify’s web APIs and performed Exploratory Data Analysis(EDA)

Predicted the popularity of a song by correlating popularity and danceability attributes. Binary Classification model with Natural Language Processing

Trained binary classifier to predict whether customer review is positive or negative.

Collected 100k records from Yelp, TripAdvisor, Amazon, Rotten Tomatoes, etc. using web scraping techniques.

Achieved prediction accuracy of 83.26% by implementing Multinomial Naïve Bayes algorithm. Data Visualization for Boston Blue Bikes

Performed exploratory analysis on analyze metrics such as Peak Consumption hours, Hotspots for Bike Pick-ups, Customer Types(Member/One-Time) using Tableau.

Developed interactive dashboards using features such as Data Filters, Calculations, Map Functions for powerful storytelling.

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