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Data Analyst

West Des Moines, Iowa, United States
February 26, 2018

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*+ year of industry experience in Data Science, Data Analytics, and Visualization packaages - Matplotlib, ggplot2, or Tableau

Expertise in Statistics, Machine Learning, Predictive Modelling, Data Mining, Regression, data cleaning and data transformation

Certified Alteryx Designer Core, Preparing for Advanced Alteryx Designer Certification


Programming Languages: SAS, R, SQL, Python (Libraries: NumPy, Pandas, MatplotLib, Seaborn, Scikit-Learn, Plotly)

Data Preprocessing: Importing Libraries, Importing Datasets, Dealing with Missing Data and Categorical Data, Feature Scaling.

Statistical Analysis/Machine Learning Algorithm Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Kernal SVM, Naive Bayes, Decision Tree, K-Means, Hierarchical Clustering, Apriori, Eclat

Dimensionality Reduction: Principal Component Analysis, Linear Discriminant Analysis, Kernel PCA

Databases/ Visualization Tools: Tableau, Alteryx, MS SQL, MS Access, MS Excel (Pivot Tables, VLOOKUP), MATLAB


Master of Science in Information Systems, GPA- 3.8/4

Iowa State University, Ames, May 2018

Bachelors of Technology in Electronics and Communication, GPA- 4/4

Rajasthan Technical University, Kota, India, May 2014


NCMIC, Clive, IA Jan 2018-Present

Marketing Data Analyst

Extensively using Alteryx and Tableau for creating complex workflows and dashboards for high level executives

Analyzing data from the weekly business plans and actual statistics to identify profitable revenue growth opportunities/insights

Collaborating with account executives to define campaign strategy (including cross-channel treatments control groups & A/B testing)

Tracking performance of campaigns using Google Analytics and analyzing impact on profitability

Developing marketing dashboard to provide executive view of departmental performance

Developed customer segmentation predictive analytics model to find the Jackpots and the Gold Nuggets.

Optimizing existing customer targeting by analyzing historic cannibalization


Data Analyst Intern

Analyzed large datasets of crash data by connecting Python, SQL with ArcMap with python library Arcpy & sqlite3

Filtered and cleaned data by reviewing reports and performance indicators to make the data more efficient

Assisted Iowa DOT by finding correlation between accident sites and reasons for crash

Worked with Project manager to understand business model and technical specifications

Visualized analytical results via charts, graphs, tables, etc. in Tableau

IOWA STATE UNIVERSITY, Ames, IA Oct 2016–Jan 2018

Data Science Research Assistant

Analyzed and Visualized large datasets of Parkinson's patients with 2500 attributes of each patient

Web scraped the organic data to find out the general consent of American people and other researchers

Visualized multivariate relationships in large datasets using nmle, scatterplot3d and table plots packages

Led a team of 6 members and prepared weekly agendas and presentations for staff meetings

INFOSYS LIMITED, Pune, India May 2014–June 2016

Marketing Data Scientist

Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.

Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.

Identified, measured and recommended improvement strategies for KPIs across all business areas.

Analyzed data from the weekly business plans and actual statistics to identify profitable revenue growth opportunities/insights.

Extensively used R, SQL & advance Excel to fulfill analytical requests & drive new acquisition

Designed and analyzed test campaigns and recommended future initiatives to drive new acquisition for existing customers.


Received Full scholarship for 1-month international internship to Florida International University, Miami, USA

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