Manaswini S. Thakur Phone: 201-***-**** Email: *********.*.******@*****.*** www.linkedin.com/in/manaswinithakur
Tenacious Quest for Success + Ability to Learn Quickly. Completed Master’s degree in Data Science and has blend of technical skills, business acumen, critical thinking, and interpersonal skills to succeed in the domain of Business Intelligence and Data Analytics.
SKILLS
Base SAS
Accessing different data sources; SAS Formats; Data Manipulation using Functions, DO Loops, Arrays, and Conditional Statements; Generating Summary Reports and Frequency Tables.
Advance Excel
VLOOKUP, Pivot Tables, Charts, Macros, Formatting, Array Formulas, and Linear Optimization.
SQL Querying
SQL Server and MySQL (joins, set operators, sub-queries, table expressions, data aggregating, pivot and unpivot
Data Visualization
Tableau 10 and R (ggplot2)
R Programming
Data manipulation, Data Modeling, Using Stats packages and Building Machine Learning Models using R Studio
Statistical Analysis and Machine Learning
Regression (Linear and Logistic), Classification (K-NN), Decision Trees, Clustering (Hierarchical & K-Means), Random Forests, and Time Series, NLP/Text Analytics, CART, Cluster Analysis, Correlations.
Advance SAS & SAS Enterprise Guide
PROC SQL, PROC SORT, PROC TRANSPOSE, and SAS Macros
OS Environments
Windows, Linux, and Amazon Web Services (AWS)
Web Technologies
HTML, CSS, XML, Bootstrap, and MySQL/PHP, Google Analytics
CERTIFICATIONS
Certified Base Programmer for SAS 9
The Analytics Edge - Certified Course from edX.org
Google Analytics Certification
PUBLICATION
Crime Prediction Using Public Transportation Data and the Random Forest Algorithm, P. Zhao, N. Kapoor, M. Thakur, T. Ty, E. Moskal, G. Michaelson, S. Jaume, International Journal of Decision Science, Vol. 7, No 1, June 2016.
EDUCATION
M.S. in Information Technology, Wilmington University, DE GPA 3.73 (Aug 2017)
M.S. in Data Science, Saint Peter’s University, Jersey City, NJ GPA 3.83 (Dec 2015)
MBA in Retail Management, IGNOU, New Delhi, India GPA 3.80 (June 2013)
Bachelor of Commerce, Loyola Academy Hyderabad, India GPA 3.98 (May 2011)
GRADUATE SCHOOL PROJECTS
Customer Churn (switching carrier) Analysis for a wireless telecommunications company
Data consisted of 8,000 current and prior customers of which 22% were churned.
Using R fitted logistic regression model to analyze and select best predictor variables out of the four available variables: age, marital status, duration as a customer, and churned contacts count.
Orange Juice Blending Linear Optimization Model using Microsoft Excel Solver
Built a model to replicate Coke’s Orange Juice blending algorithm. Objective to minimize procurement cost while meeting all the specs of the product in terms of supply, demand and quality constraints (color and taste).
Machine Learning algorithm for identification of poisonous mushrooms using UC Irvine dataset
Implemented an algorithm to identify mushrooms by physical appearance and segregate poisonous mushroom from the mixed sample.
Base model achieved accuracy of 98.53% and advanced model achieved an accuracy of 100%.
Data Visualization (Tableau and ggplot2)
Startups Quadrant of High Growth Profitable companies - Dynamic dashboard with selection of cutoff values for Revenue and Expenses and selection for number of high growth companies
Citi bike NYC bike usage pattern study
World Demographics Animation (Life Expectancy vs. Fertility Rates)
Movie Rating Visualization and Chicago City Motor Vehicle Theft Visual Analysis
Term Project - Developing a portfolio web page
Used HTML, CSS and other web technologies.
PROFESSIONAL EXPERIENCE
Graduate Assistant, Dept. of Data Science, Saint Peter’s University, NJ Sep 2015 – Dec 2015
Collaborated with Data Robot Inc. to analyze data, and perform predictive modeling for crime prediction model for Bogota project.
Mentored new graduate students and conducted boot camps for R and Tableau.
Explored data visualization/mapping tools i.e. QGIS, and Carto DB for geospatial analysis.
Assistant Store Manager, Madura Fashion & Lifestyle, Bangalore, India Jun 2013 – Jun 2014
Oversaw and implemented overall store administration effectively by managing employees and store finances.