KRITHIN KUMAR VENKATESH

**** * ******* ***, ****-12, DeKalb, Illinois

Phone: +1-815-***-****, Email: adbmp7@r.postjobfree.com LinkedIn: www.linkedin.com/in/krithin-kumar-7ba639150, GitHub: https://github.com/KrithinKV Summary

• Highly analytical and process-oriented Data Analyst with master’s degree in Computer science with concentration on Data science and Data Analytics with more than 2-year experience as Data Analyst with a background in Data Analysis, Dashboards, Databases and Reports Creation.

• Proficient in Databases and concepts such as Data Cleaning, Data Visualization, Designing, Data Testing, Query Optimization and Generating interactive reports.

• Proficient with tools like Tableau, MS SQL Server Management Studio and MS SQL Server with a good knowledge in Python, Java, HTML and CSS.

• Proficient in SQL querying and worked extensively to meet end user requirements by producing complex queries with Union, Joins, Sub-Queries and Views.

• Proficient Experience in Python Libraries such as Numpy, Pandas, SciPy, Matplotlib, Seaborn, Machine Learning with Scikit-Learn and Neural Networks.

• Quick Learner, Initiator, Passionate, creative and capable of working and communicating with people at all levels of an Organization with a sense of responsibility with self, team, and Client possessing Excellent analytical and problem-solving skills with an ability to handle multiple projects in a fast-paced, deadline- oriented environment.

Skills

Technical skills: Quantitative Methods, Advanced Data Mining, Business Intelligence (BI), Data Structures, Regression Analysis, Data Visualization, Data Technologies, Data Science Research Methods, Research Data Management, Statistical Computing Methods, Experimental Design & Analysis Power user of: Tableau, Microsoft Power BI, Microsoft Office Suite, Microsoft SQL Server Management Studio, Microsoft SQL Server, Jupyter Notebook, GitHub, IBM Watson. Certifications

IBM Coursera : Datacamp:

Python for Data Science and AI Introduction to Python Data Analysis with Python Supervised Learning with Scikit-Learn Data Visualization with Python

Databases and SQL for Data Science

Employment History

FERVID DIGITAL MEDIA AGENCY

DATA ANALYST

DURATION: January 2017 – December 2017

• Worked on Multiple Large-scale projects in the areas of sales analysis by creating dashboards using Tableau gaining insights into the data from various Data formats.

• Experienced with Complex SQL querying to retrieve data from the databases and automated the querying process with VBA script.

• Performed ETL jobs on daily batch of data and made transformations on data based on client’s requirements.

• Performed data pre-processing techniques like data cleaning, Data transformation and Data Reduction on huge datasets imported from various data sources like Excel, CSV, JSON and text files.

• Worked with python and Tableau to develop, verify and visualize the results using Data Manipulation, machine learning algorithms and visualization libraries to create Various plots used for statistical Data exploration.

• Advocated Data Analytics best practices, with a focus on consistency and usability. Assured that company’s growth is validated every month.

• Performed Data Analytics on company’s sales records and helped in the evaluations of company’s progress through Consistent presentations about the analysis and growth of the company.

• Collaborated with user interface and user Experience teams. Collaborated with the design team to define the information architecture. Created clean, precise browser compatible code and designed functionality. Developed new user-facing features.

HCL CDC

INTERN

DURATION: May 2016 – June 2016

• Intern at HCL CDC for a project related to VLSI and C++ Programming.

• The main project during this Internship was to use programming languages (C and C++) to run the hardware efficiently.

• This project was successfully completed with efficiency, hard work and the co-ordination of other team members.

NORTHERN ILLINOIS UNIVERSITY

GRADUATE TEACHING ASSISTANT

DURATION: September 2018 – December 2018

• Teaching assistant at NIU under a professor helped students to learn the data analytics efficiently.

• Helped students to learn Python and its libraries like Numpy, Pandas and Tableau for Data analysis and Data Visualization.

• Created and conducted several assignments and quizzes for students, also helped the professor by giving many presentations to students regarding data analytics.

• Conducted several lab sessions, where students used to perform Data analysis on various Types of Data. GRADUATE RESEARCH ASSISTANT (DATA ANALYST)

DURATION: January 2019 – December 2019

• Collected the Course rubrics from all the courses in the Department which were imported from Excel sheets, CSV and text files, also analyzed the Data using python and its libraries.

• Used machine learning algorithms to predict the performance of the courses and the department in the future semesters.

• Used Tableau to create interactive visualizations for the analysis done on the courses of the Department which were used in the presentations.

• Analyzed the performance and progress of the department every semester by collecting data from the student’s performance on their courses.

• Analyzed student performance on all courses in the department and analyzed the Faculty’s performance by comparing with previous semester’s analysis.

• Conducted surveys for all courses in the department at the end of the semester to retrieve the student feedback on the course and the faculty. This data was compiled and analyzed to produce the performance of the course, Faculty and students.

• Gave presentations to the board of Department at the end of every semester regarding the performance of all Courses and Faculty, also pointing out the steps to be taken to improve the performance of the overall Department.

ACADEMIC PROJECTS

SOCIAL MEDIA ANALYSIS:

Performed exploratory data analysis with the use of Numpy and Pandas python Libraries and Data Visualization Libraries such as Matplotlib and Seaborn to find out the features which have major influence on the paper popularity. Performed Linear regression and Neural Networks machine learning algorithms to analyze the gathered data for its accuracy. Completed the data analysis of which factors were more likely to contribute to the popularity of scholar articles on social media platform: Facebook

NEWYORK CITY BIKE SHARING:

Performed Data Analysis on the New York City Bike Sharing Impact on the Population and its effectiveness on People consumption of public transport over a decade. Used several python libraries for Data Analysis and Data Visualization Techniques such as Matplotlib and Seaborn and Visualization Tools Like Tableau and Power BI for effective Visualization of the patterns of Bike Sharing through a year and in different Seasons. It was a challenging project with a Huge data sets received from online Databases of New York city Bike Share Program. NPR PROJECT:

Analyzed the Financial Data of the different Types of Educational institutions in USA and the types of scholarships given to the students and the trends of economy flow throughout the years with Several python libraries like Numpy, Pandas and Data Visualization Techniques like Seaborn and Identified the trends using Neural Networks. The Visualization tools like Tableau and Power BI were used to produce effective visual patterns and trend flows of the financial data of the Educational institutions.

Languages

C, C++, Python, JAVA, R, D3.js, MySQL, and SQL

Education

NORTHERN ILLINOIS UNIVERSITY

Master of Science (M.S) Degree (Computer Science) : Graduated December 2019 (GPA 3.657/4) GITAM UNIVERSITY

Bachelor of Technology Degree (Electronics and Communications Engineering) : Graduated April 2017 (CGPA:7.62/10)

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