Data Analyst

ANANYA MARAGONI

+1-412-***-**** admjxe@r.postjobfree.com Fairfax, VA, 22030

Summary

Aspiring Data Analyst skilled with 2+ years of experience with strong abilities to analyze, model, and interpret data for driving business solutions. Experience in data analytics, business intelligence and statistical analysis gained both in the industry and academia. Proficient knowledge in Python, R, and SQL. A highly self-motivated, detail-oriented, and responsible individual looking to secure a position that enables me to bring my qualifications, skills, and experience to a role of a data analyst to create a respectful and constructive atmosphere that will support the organization.

Work Experience

Data Analyst Intern – Accure Analytics, VA, USA Jan 2021 – May 2021

Worked on a Handwritten Text Recognition system that intends to build an Artificial Neural Network model using Momentum Automate tool that takes an image of a handwritten text document as an input, processes the image with the help of Computer Vision model: A Convolutional Neural Network (CNN) based Long Short-Term Memory (LSTM) model, segments each line, coverts the text to machine-readable format and outputs the converted text in user desired format.

Used agile boards, tracked tasks and errors, scheduled sprints, and managed the project by using YouTrack.

Achieved a character error rate of 13.58% and a word error rate of 27.91%.

Data Analyst Intern – Sai Agencies, TS, India Jun 2020 – Aug 2020

Worked on data exploration, data cleaning, preparation, and transformation of data for analysis using R.

Converted data into actionable perspectives by forecasting and modeling possible outcomes.

Built predictive models to group customers and predict customer turnover using Python and R.

Produced graphs and reports using the ggplot package in R and Google Analytics; provided reasonable interpretations of the results to improve the sales by 20%.

Junior Data Analyst – Midrib Health Care, TS, India Dec 2018 – Jul 2019

Analyzed large data related to company products and performed data transformation, data manipulation, data validation using SQL.

Improved the process performance by SQL tuning and optimized queries to ensure reports are refined to the fullest efficiency.

Generated visualizations using Tableau and Power BI; analyzed interesting trends in inventory and invoice data to help the company make decisions.

Optimized data collection procedures, examined reports, and presented findings in PowerPoint and Microsoft Excel.

Educator – Unacademy ( India’s largest online learning platform ) Jun 2017 – Jun 2018

Planned, prepared, and presented video lectures using Microsoft PowerPoint on computer science topics.

Revised lectures iteratively based on the feedback and helped students in clearing their doubts, replied to their queries and comments.

Education

Master of Science – Data Analytics Engineering George Mason University, VA GPA – 3.73 May 2021

Relevant Graduate Coursework: Analytics: Big Data to information, Principles of Data Management and Mining, Analytics and Decision Analysis, Applied Statistics and Visualizations for Analytics, Data Mining for Business, Decision and Risk Analysis, Big Data Essentials, Data Mining in Health Care, Applied Predictive Analytics.

Bachelor of Technology – Computer Science Jawaharlal Nehru Technological University, India GPA – 3.7 May 2019

Relevant Undergraduate Coursework: C Programming, Data structures, Object Oriented programming with C++, Probability and Statistics, Java, Database management systems (DBMS), Design and Analysis of Algorithms (DAA), Computer Networks, Operating Systems, Software Engineering, Android Programming, Data Warehousing and Data Mining (DWDM), Information Security, Software Project Management, Big Data Analytics, Image Processing and Pattern Recognition.

Skills

Programming Languages: Python, R, SQL, C, C++, Java, HTML

Databases: MySQL, Oracle, MongoDB, NoSQL,

Environments and Tools: Git, Tableau, Weka, Microsoft SQL Server Management Studio (SSMS), YouTrack, Jira, MS Office, Analytical Solver for MS Excel, Google Analytics, Android Studio, Adobe PageMaker, RStudio,

Related Skills: Machine learning Data Visualization Regression Classification Time series analysis Exploratory data analysis Data Analysis – Hadoop and HIVE TensorFlow Power BI Pivot Table ETL Pivot table V – Lookup H - Lookup Advanced MS Excel Pandas MapReduce Hypothesis Testing AWS Amazon S3 VBA

Academic Projects

Coronary Heart Disease (CHD) Prediction - Used R

The main purpose of this project was to identify the important risk factors and characteristics that contribute to heart diseases.

●Built various predictive models like logistic regression, lasso model, and PLS model. Compared the models to recommend the

best fit model.

●Identified the top risk factors that contribute to increased chances of 10Year CHD.

Predicting Length of stay for patients with emergency admission-type - Used Weka and SSMS

The goal of this project was to create a model that predicts the Length-of-stay (LOS) for each patient at the time of admission with

admission type as Emergency. Data used for this project is from the MIMIC- III database.

●Performed certain data preprocessing in SQL Server Management Studio (SSMS).

●Weka Analysis: Pre-processing, Feature selection, Selection and Application of appropriate predictive models like Bayesian Network,

Naïve Bayes, and Random Tree, and Performed analysis of the results.

●Used metrics like accuracy, ROC area, precision and recall for comparing the models. Proposed the best fit model and its

impact on healthcare.

Wine Quality: Logistic Regression - Used R

The main purpose of this project was to explore the Wine Quality data set and find out the significant features that affect wine quality.

●Data preprocessing, data exploration, and Visualizations. Prepared data and built a Logistic Regression Model.

●Significance test for logistic regression. Predicted the topmost statistically significant features that affect wine quality.

Analytics Project - Consumer Complaint Database - Used R and Tableau

The Project mainly focuses on understanding the consumer complaints received about financial products and services.

●Descriptive/Exploratory Data Analysis (EDA); data visualizations.

●Formatted potential questions that can be answered by an analysis of the data and Interpretation of the analysis results.

Analysis of Medium-Sized Truck Data using Regression and Tensorflow:

Used Python, NumPy (without using any deep learning libraries)

●Conducted a study to analyze the relationship between various features of the truck.

●Developed a tool to estimate the price of a truck based on its features using regression analysis and TensorFlow.

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