Data Scientist

Nama Rineeth ******@****.***.***

Highly analytical and process-oriented data analyst. In-depth knowledge of database types; research methodologies; and big data capture, curation, manipulation and visualization. Knowledgeable in finding ways to create useful, communicative insights from business data Furnish insights, analytics and business intelligence used to advance opportunity identification, process reengineering and corporate growth.

Education

M.S in Information Technology &Management, Illinois Institute of Technology, Chicago, IL Jan 2020 - Dec 2021

• Relevant Coursework: Data Analytics & Database management System, Machine Learning.

• Distinction: Completed my First Semester with GPA: 4/4. B.E in Computer Science, PSG College of Technology, Coimbatore, India May 2019

• Relevant Coursework: Object Oriented programming, Theory of Computing, Data Structures, Advanced Data Structures, Mobile Application Development, Computer Architecture, Micro Processors, SQL, Software Engineering.

• Distinction: Cumulative GPA: 3.75/4

Technical Skills

• Big Data- Data Profiling, Data modeling, Data Profiling, Data Validation, Data Wrangling, Feature Engineering, Data Mining, NLP, Text Mining, Data Visualization, Reporting.

• Languages/Platforms – R, Python, MySQL, PL/SQL, Java

• Python & R Libraries – NumPy, Pandas, Matplotlib, SciPy, Scikit Learn.

• Software/Tools – Octave, Tableau, PowerBI, Google Analytics, Microsoft Access, SQL server, Oracle.

• Machine Learning - K- means Clustering, Association Rules, Support Vector Machines, Decision Trees, Naïve Bayes, Bagging, Boosting, Linear and Logistic Regression

• Statistical Methods- Hypothesis Testing, Principal Component Analysis, Forecasting, Predictive Analytics, Regression Analysis

• Business Analysis- SDLC, Agile, Waterfall, Feasibility Analysis, UML Modelling. Projects

Crime Analysis of Chicago (Python (Machine Learning Tools) JAN 2020

• Quantified data of 100000+ crimes to make it suitable for analysis.

• Implemented Decision Trees, Random Forests, Naïve Bayes, KNN and Logistic regression to predict the arrests made against the crimes with an accuracy of 76%.

• Cluster Analysis of the crimes based on the Location of the Crimes to gain insight over the streets with the highest crime rate.

• Time Series Analysis of the Chicago Crime to understand the trend of crime in the city between the years 2012 to 2017

• Visually recognized the highest crime areas by generating a heat map for the city along with several other Crime Statistics reports. Fudge Mart – Retail Company (SQL, ETL, Alteryx, Power BI) SEP2020

• Analyzed and documented business requirements and defined the scope of realization.

• Designed fact and dimension tables and developed dimensional model by identifying business processes.

• Developed Star Schema model diagrams, performed data mapping, processed ETL to load over 110,000 records from source system to respective target tables by Alteryx.

• Generated business intelligence reports in pivot tables linked to Alteryx and visualized analytical results in PowerBI. ATM Management Apr 2018

• Developed a ATM Management system in Star UML using Activity, Use case, Timing, Communication Diagram.

• Utilized: Star UML.

Asset Management System Apr 2017

• Developed a system to list the assets (monitors, tables, chairs) of each department with it is respective id’s and manage them.

• Utilized: PHP is the language used and MySQL is the backend technologies used. Google analytics and Word Press Jun 2018

• Creating a website using Word Press based on sports news and performing the analytics for that website.

• Analysis includes identifying measures based in user goals and using website data to determine the success or failure of those goals and drive strategy and improve the user’s experience.

• Utilized: Word Press and Google analytics.

Professional Experience

Digital Twins Intern, Delta Technology, Hyderabad India Dec 2017 – Mar 2018

• Development of Digital Twin framework for medical devices information mirroring model

• Leveraged Knowledge in IBM Bluemix Thing Speak.

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