KALYAN CHAKRAVARTHI MARIDI

**** ********** **, *****: 812-***-****

Indianapolis, IN 46237 Email: ac0jpj@r.postjobfree.com OBJECTIVE

Seeking a Contract/Full Time Position as a Data Scientist RELATED KNOWLEDGE/SKILLS

Participated and Certified in Real-time Data Science Professional Project Competition by Microsoft (Cortana Intelligence Competition)

Querying Data with SQL

Analyze and Visualize Data with Excel and Power BI (Pivot tables, Pivot charts, DAX, VLOOKUP, HLOOKUP)

Statistical Thinking for Data Science and Analytics (Hypothesis Testing)

Python Programming for Data Science (Numpy, Pandas, Matplotlib, Scikit-learn)

R Programming (dplyr, ggplot2)

Principles of Machine Learning (Classification, Regression, and Clustering models)

Core Machine Learning Algorithms (Decision Trees, Random Forest, Logistic Regression, Support Vector Machines, Neural Networks)

Processing Big Data with Hadoop in Azure HDInsight. (MapReduce, Hive)

Hands on Experience with Microsoft Azure SQL Database and Microsoft Azure Machine Learning Studio

Knowledge on Data Visualization using Tableau.

EDUCATION

Master of Science in Computer Science December, 2016 Indiana State University, Terre Haute, IN GPA: 3.61 Course work includes

CS 617 Big Data & Data Mining (Relational databases, Data warehousing, Map Reduce, Machine Learning, and streaming algorithms.)

CS 557 Database Process (Data independence, Relational model, conceptual modeling, database design, transaction processing, concurrent transactions, and recovery). CS 652 Advanced Software Engineering (design patterns, aspect-oriented application development, XML processing and applications)

CS 569 Unix/Linux Administration & Networking (TCP/IP, FTP, Telnet, DNS, DHCP) CS 571 Operating Systems

CS 650 Advanced Discrete Mathematics (Symmetry and counting, auto morphism groups of combinatorial structures, finite fields and applications, error correcting codes, and generating functions) CS 579 Web Programming (JSP & PHP)

CS 570 Programming Languages (language definition structure, interpretative languages, lexical analysis, and parsing)

Bachelor of Technology in Computer Science and Engineering May, 2014 Jawaharlal Nehru Technological University, India

Course work includes

51006 C Programming & Data Structures 53023 Data Structures through C++ 54013 Database Management Systems 53014 Probability and Statistics 54058 Object oriented Programming 54016 Design and Analysis of Algorithms TECHNICAL SKILLS

Hadoop Technologies: MapReduce, Hive

Visualizations Tools: Tableau, Power BI

Programming: Python, Java, C

Web Development: HTML5, CSS3, JavaScript, PHP

Development Tools: Spyder, R Studio, Microsoft SQL Management studio, Eclipse, IntelliJ IDEA, MS Office, Azure Machine Learning Studio

Operating Systems: Windows, Linux

Database Management Systems: SQL

Scripting: Unix Shell Scripting

SDLC including Analysis, Design, Development, Implementation, Testing. PROJECTS

Loan Granting Binary Classification: Built a Machine Learning Model to predict whether a loan applicant will fully repay or default on a loan and published it as a web service that returns a unique loan ID and loan status label that indicates whether the loan will be fully paid or charged off. (Microsoft Azure ML, R, SQL, Cortana Intelligence Competition)

Created, trained, and evaluated a Machine Learning Model to classify bank customers as good or bad credit risks. Used Built- in Azure ML functionality, Python and SQL to select features used for training a machine learning model.

Worked with a dataset that contains records of diabetes patients admitted to US hospitals. Investigated relationships in the data set with visualization using Python code. Created, trained and evaluated a classification model using the Two-Class Logistic Regression algorithm to predict which hospitalized diabetes patients will be readmitted for their condition at a later date.

Stock Market Analysis: Visualize different aspects of stock information, analyzing the risk of stock based on its previous performance history and predicting future stock prices through a Monte Carlo method. (Python, Jupyter).

Processing Large Datasets using Hadoop Map Reduce: This project focuses on understanding the capabilities of the Hadoop ecosystem, particularly the MapReduce framework and HDFS components, and their operations on Processing large data sets. Acquired a thorough understanding of HDFS administration and MapReduce task monitoring. (MapReduce, Hive)

Spatial Approximate String Search: Developed an Approximate string search in Java using edit distance as the similarity measurement for the string predicate and focus on the range queries as the spatial predicate. Also addressed the problem of query selectivity estimation for queries in the Euclidean space. (Team of 4) EXPERIENCE

Indiana State University Terre Haute, IN

Building Manager(HMSU-Operations) September 2015 – December 2016 o Creating reports and present them convincingly, facilitating required discussion. o Facilitating and filling Excel reports on meetings and Events. o Managing the Meetings and Events in the HMSU department and monitoring daily activity. o Identifying and resolving any situation which might endanger the customer’s safety and security. o Creating a friendly atmosphere in the HMSU for students, staff and visitors, by building positive working relationships with ISU Public Safety, and other campus entities. Indiana State University Terre Haute, IN

Computer Technician March 2015 – June 2015

o Demonstrated extensive technical skills in identifying and resolving a wide variety of software problems. o Assist Students and Faculty in person, or via phone/email/chat with technical issues. o Troubleshoot and repair computer issues

ACHIEVEMENTS & WORKSHOPS

Certified in Python Programming from Udemy

Participated in the event workshop on Ethical Hacking at Valorous 2012 A National Level Technical Symposium held at JNTU, India.

Worked as Volunteer towards environmental protection for Council for Green Revolution conducted by State Government, India.

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