Mohini Priya Kumar
*** * ******** **, ** ***** l 774-***-**** l ac7nif@r.postjobfree.com https://www.linkedin.com/in/mohini-priya-kumar-51220a8b/
Data Analytics Graduate Student
I am an aspiring Data Analyst pursuing masters at student in Data Analytics at Penn State University with prior professional work experience of 3+ years. I’m highly analytical and process-oriented professional with all the essential skill sets needed for Data Analyst/Data Scientist, who keeps learning every day. Here are a few key factors that I can contribute to any organization, to solve their business problems with data.
My experience with exploratory data analysis (EDA) / predictive analytics with real world data set.
Storytelling ability and passionate about combining my skillset and talent with working with the teams at your organization and acquiring mastery in Machine learning and Data Science.
Theoretical Background in Mathematics, Statistics and Machine Learning
Avid learner, self-motivated at work, goal getter, eager and willing to add to knowledge base and skills, task oriented.
I’m a motivated professional with 3+ years of work experience and a unique blend of technical skills, business experience and statistical knowledge.
Education
Penn State University, Great Valley, Malvern, PA
Master of Professional Studies in Data Analytics Dec 2018 (GPA: 4.0)
West Bengal University of Technology, India
Bachelor of Technology in Computer Science and Engineering Jun 2011 (GPA: 8.5)
Skills
Machine Learning Algorithms
Exploratory Data Analysis
Advanced Data Mining
Quantitative Methods
Data Warehousing
Text Analytics
Regression Analysis
Data Visualization
Hypothesis Testing
Market Basket Analysis
Data Science Research Methods
Predictive Modeling
Statistical Computing Method
Web Scraping
Data storytelling ability
Programming Languages: Python packages Pandas, Numpy, Seaborn, Scikitlearn, SciPy, Matplotlib, R, SQL queries. Advanced PL/SQL, Java, Javascript
Tools: Tableau, Power BI, IBM SPSS, Microsoft Azure Cloud, Knime Analytics, MALLET, Weka, Hadoop, Rattle GUI, Docker, Oracle Application, Oracle R12, Oracle eBusiness Suite, Excel, PowerPoint, Sabrix Taxware, XML Publisher, HP ALM.
DBMS: Oracle, SQL servers, Postgre SQL, Hive, HBase, Apache Pig
Experience
Data Analytics Intern West Pharmaceutical Services May’18 – Aug’18
Built analytics infrastructure and predictive model on Microsoft Azure Cloud applying classification model machine learning algorithm techniques to predict whether a sales opportunity would be won or lost.
Performed diagnostic analytics on sales and pricing data to analyze the customer behavior in past 3 years using Python and Tableau.
Worked on Text analytics and built an emotion classification system for sentiment analysis using Cognitive Services on Azure.
Assisted the team to develop a pilot for a commercial dashboard from different data sources and analytic capabilities to provide the Commercial Leadership team with key information’s for better decision-making using Power BI.
Graduate Student Research Assistant Penn State Engineering Lab Oct’17 – May’18
Performed text mining to perform detailed analysis of posts and to identify the top 10 common questions, keywords and tags posted by game developers on Stack Overflow forum.
Used machine learning algorithms and tools MALLET, Python and Knime to analyze and identify trends on Stack Overflow.
Techno-Functional Consultant
Keysight Technologies
Jun’14 – Feb’15
Experienced with requirements gathering and specification and coding for database views and reports.
Provided development expertise in building new and supporting existing Oracle Reports, including queries and XML Publisher.
Worked as a Techno-functional consultant on the relational databases (RDBMS), SQL, Oracle applications E-Business Tax (EBTAX), advanced PL/SQL programming and production support in Oracle apps and Sabrix.
Designed many logics which involved code customization PL/SQL Packages based on tax requirements.
System Engineer
Tata Consultancy Services
Mar’12 – Jun’14
Worked as a developer in several projects using SQL queries, advanced PL/SQL programming, Oracle Applications, XML Publisher for the customers/end users.
Analyzed and Implemented XML reports using XML Publisher, XSL style sheet for better code quality which led to the reduction in reported defects, later it was implemented as a standard for project development.
Academic Projects
Unsupervised Anomaly Detection and Machine Learning (Industrial Capstone with DataKwip Inc.)- This project involves applying unsupervised machine learning to detect anomalies in Air Handling Unit operation using Clustering techniques to build automation system and tuning model to accommodate for seasonality effects.
ASA Data Fest Competition - Analyzed large dataset from Indeed.com to identify how its customer/user base can be better served and advice job seekers about mismatch between demand and supply in different cities.
Implementation of an employee turnover analysis project by using Python’s Scikit-Learn library
Implemented a risk analysis data modeling project on a banking domain dataset using Rattle and R to interpret data and draw conclusions to identify potential defaulter of Credit Cards.
Visualized the NYPD- Stop and Frisk large data set using Python and Tableau by applying several cleaning and feature reduction techniques to see the impact of the policy, evaluate and understand the inefficiencies and ineffectiveness of the policy.
Built an interactive dashboard using UNICEF Vitamin A Supplementation data in Tableau.
Implemented data warehouse project performing ETLs using Knime and PostgreSQL. Extracted, compiled and tracked data, and analyzed data to generate reports.
Implemented a data mining project on University data to redesign the curriculum using Pig and Hive.
Certificates
Agile Business Analysis certificate from Penn State
Tableau Certification from Udemy
Network analysis using R certification from Data Camp
Python programmer certification from Data Camp
R programming from Data Camp
Awards and Recognitions
Scholarship: Received Chancellor Scholarship at Penn State University, Great Valley Campus based on excellent academic performance in Undergraduate.
On the Spot Award: Awarded twice for developing a critical application in a very stringent timeline. Awarded to only one person on a team.
Participated in the American Statistical Data Fest’18 at Penn State University and waiting to participate in more.
You Have Earned IT Award: Honored for supporting OS patching in multiple production servers, validating all the application running on them and coordinating with multiple teams.