Data Analyst

Vinay Kumar Reddy Baradi

Tampa, Florida adbbtw@r.postjobfree.com 813-***-**** Linkedin GitHub

EDUCATION

University of South Florida Tampa, FL

Master of Science in Business Analytics and Information Systems (3.75/4.0) Dec 2020

Coursework: Data Mining, Analytical Methods for Business, Advanced Database Management Systems, Data Science Programming, Statistical Data Mining, Data Visualization, Big Data

Jawaharlal Nehru Technological University Hyderabad, India

Bachelor of Science in Mechanical Engineering (71%) May 2016

Coursework: Operation Research, Linear Programming, Probability and Statistics

TECHNICAL SKILLS

Programming: Python, R, SAS, SQL, Microsoft Excel, C

Packages: Pandas, NumPy, sci-kit-learn, SciPy, NLTK, Stats models, Theano, matplotlib, seaborn

Tools: R Studio, SAS Studio, Informatica, MS PowerPoint, Microsoft Office suite, Visio, Tableau, SQL Server

PROFESSIONAL EXPERIENCE

University of South Florida – Student Assistant August 2019 - Present

Analyze model sensor data and detect sleeping patterns and monitor the health of older adults in villages

Discover sleep disturbances, nap time of a person and render visualizations for the processed data

Pre-process and clean the data using R, Python (pandas, matplotlib, datetime, yaml files)

Wrangling sensor data for monitoring health, daily activities and improve the safety of life

Tata Consultancy Services – Barclays investment bank Hyderabad, India Data Analyst January 2017- August 2019

Worked with banking and financial services on regulatory reports.

Extracted and loaded customers’ data using ETL technologies from the source table to the data mart table database

Generated reports of the user’s data in SAP BO4 to perform data analysis

Built visualizations using R to present a story based on the drawings from the various sub ledger data and helped in maximizing revenue by 15%

Created daily reports in Microsoft Excel to streamline and organize team work requests, improving operational efficiency by 30%

TECHNICAL PROJECTS

Linear Regression on Taxi Trips in Chicago during 2016 (R, Excel, MATLAB)

Conducted the data cleansing, integration and exploratory using R in R studio, Excel

Performed Linear Regression to determine the significant factors that affected the fare of the taxi trips and predicted the taxi fare with 90% accuracy

Investigated the various interactions and independent variables transformations to find the best fit model

Sentiment Analysis on Drug Review and Drug Recommendation (Rapid Miner Tool, Python, Excel)

Build sentiment analysis model to categorize drug reviews into positive or negative

Used RapidMiner and Python tools to built and evaluated different models using confusion matrix and accuracy

Performed different text mining tasks like pre-processing to analyze the data

Introduced the concept of Drug ranking to rank different drugs for each condition

Build a recommendation engine using Collaborative filtering to recommend the best drug to customers, who rated a drug down

Airbnb data analysis (SQL, Spark)

Loaded Airbnb New York City data from csv file into Databricks Spark Cluster.

Cleaned and analyzed the data using Pyspark, Spark SQL, Spark RDD and Seaborn Plots

Created a Correlation Heat Map for finding the Influence of various feature attributes on the listed price of an Apartment

Predicted the price of an Apartment Listed on the Airbnb site by using Spark Machine Learning models

Stock Market Prediction Using Data Mining Algorithms

Designed an application that makes accurate timely price predictions for heterogeneous sets of Stock Exchange data

Used Java, MySQL, K-means clustering algorithm, Prediction algorithms

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