Niharika Reddy Bokka

703-***-**** ad07zo@r.postjobfree.com Peoria, IL

EDUCATION

Bradley University, Peoria, IL Jan 2023 – Exp. Dec 2024 M.S. in Data Science and Analytics – 3.3 CGPA

Jawaharlal Nehru Technological University, Hyderabad, India Sept 2016 - May 2020 Bachelors in Technology – 6.7 GPA

TECHNICAL SKILLS

Programming Languages : Python.

Web Technologies : Jupiter Notebook, Rapidminer.

Visualization Tools : Tableau.

Statistical Methods : Z-test, T-test, Chi-squared, ANOVA, Linear & Logistic Regression, Time Series Forecasting, Decision Tree, Random Forest, Clustering, Hypothesis Testing. Databases : SQL, NoSQL, DBMS, MongoDB, Access.

Operating System : Windows, Mac, Android, IOS.

Machine Learning : Transformation, Clustering, Data Viz, Classification and Regression models. Forecasting Models : Naive Bayes, MAPE.

ACADEMIC PROJECTS

Credit Card Defaulter Prediction RapidMiner

As part of my ongoing project in Masters, I develop patterns with visualization to improve business performance by predicting each customer’s credit risk that helps to reduce any potential damage.

I’m working on implementing ML models and predicting a defaulter based on the data available.

I’m working on it by performing data cleaning, and data transformation and then applying ML models and choosing a model with high accuracy.

Chicago Crimes Over the Years Tableau

Implemented an overview of the raw dataset named “Chicago crimes in the year 2018-2022” using Tableau Visualizations. Each Dashboard in this Visualization shows the different types of graphical comparisons between the crimes. Dashboards show overviews using Filters and graphs like Heat maps, Bar graphs, Area charts, Circle views, Stacked bars, Tree-maps, etc.

Visual and Cognitive Design of Superstore Tableau

Using the “Superstore dataset” provided, created a dashboard consisting of KPIs that will be used as the business project.

Performed KPIs principles like Setting thresholds, hierarchies, Actions, Filters, and Parameters to guide interactivity. also demonstrated the visual and cognitive principles like attributes, strategic use of color or contrast effective use of language, labeling and scales, visual hierarchies, etc. Cotton Percentage Affecting Breaking Strength Regression

In this Regression model ANOVA methods are performed using Minitab, this method includes One-way ANOVA, Two- way ANOVA with and without interaction, and RCBD.

This follows the Hypothesis Test process and results to Factor information, Analysis of variance, Means, Standard Deviation, Confidence Interval, R square. And showing the graphs in Minitab contain Probability plots, Verus Fits, and Histogram.