Hello! I'm Pavan
I am a tremendous Manchester United fan, a dog lover (fortunate to have a beagle boy) and a passionate biker.
I have a Masters' degree in Information Systems with the aspirations of becoming a data scientist.
I have 4 years of experience in Business Excellence consulting and leveraging business data to improve decision making and operational efficiency. I am looking for opportunities in data science where I can leverage my knowledge to solve challenging business problems.
Pavan Dinkar Palve
Aspiring Data Science Professional
​
Phone:
(312) 838 7253
Email:
Address:
1911 South May Street, Unit 2,​
Chicago, IL, 60608
​
Date of Birth:
April 12th, 1991
​
EXPERIENCE
August 2018-Present
Data Analytics Project Intern
MWRD GREATER CHICAGO
Leading a team of 4 interns to analyze IT service desk data to,
-
Identify incident types impacting operations.
-
Assess tickets resolution time as an indicator of operational efficiency.
-
Create dashboards to monitor KPIs and metrics.
Python (Scikit-Learn, Statsmodels & Pandas) & Power BI
December 2017-May 2018
Data Analytics Project Intern
ZURI PRODUCTS
Analyzed socioeconomic data of the Brazilian population to market hair & beauty products. Developed data models which guided cross-sell & up-sell strategy by product, customer segment, and geographical area.
Python (Scikit-Learn, nltk, Statsmodels, Seaborn & Pandas)
August 2017-December 2017
Process Management Project Intern
SOUTH FLORIDA PBS
-
Performed AS-IS analysis and modeling of Procure to Pay business process.
-
Automated Accounts Payable business process.
-
Configured document management portal.
ARIS Cloud, Microsoft Excel
December 2016-July 2017
Management Consultant – Business Excellence (BPM & Data Analytics)
KPMG
-
Supported clients in digital transformation.
-
Enabled data-driven decision making by configuring data pipelines.
-
Enabled centralized processes and knowledge repositories.
Python, SQL, ARIS BPM Suite, MS Excel
March 2014-December 2016
Business Process Analyst
TECH MAHINDRA LTD.
-
Conducted business process analysis and requirements gathering workshops with process owners to define process architecture.
-
Developed reports to measure KPIs and process maps.
ARIS Architect & Connect, MS Excel, JavaScript
May 2012-July 2013
Lecturer
K. K. WAGH COLLEGE OF ENGINEERING
Instructed following courses in Computer Engineering department,
-
Data Structures using C (Class of 60 students)
-
Theory of Algorithms​ (Class of 60 students)
EDUCATION
August 2017-December 2018
Master's Degree
UNIVERSITY OF ILLINOIS at CHICAGO
Pursuing Master of Science in Management Information Systems with the intent of becoming a Data Scientist.
GPA: 3.5 / 4
July 2009-May 2012
Bachelor's Degree
UNIVERSITY of PUNE
Completed Bachelor of Technology in Computer Science.
GPA: 7.8 / 10
CLIENTS
Reliance Industries Limited
MWRD of Greater Chicago
South Florida
PBS
The Executive Council, Dubai
Danieli Group,
Italy
SKILLS
Python
NumPy, Pandas, SciPy, Scikit-Learn, Statsmodels, Seaborn, Matplotlib, nltk, Pyspark, Tensorflow - Keras API
R
dplyr, ggplot2, mlr, nnet, rpart, ROCR, mice, caret, readr, pysch, cluster, factoextra
Big Data
AWS, Spark, RDDs, Hadoop, MapReduce, Hive, Pig, Pyspark
Data Visualization
​Tableau, Power BI
Databases
MySQL, Postgres, MongoDB
Machine Learning Algorithms
Classification & Regression (Logistic and Linear), Decision Trees, Random Forest, Neural Network, Support Vector Machine, Clustering (Hierarchal, K-means), Association
Programming & Scripting Languages
Python, R, Java/J2EE, JavaScript, JSP/Servlets, C++, C
Tools
Jupyter, Spyder, Pycharm, Eclipse, Microsoft Excel (Pivot, Vlookup, Analysis toolkit), Google Analytics, Atlassian (Jira & Confluence)
ACADEMIC PROJECTS
Image Classification
Personal Project
DNN Classifier, Tensorflow - Keras API​
Classified clothing dataset to predict category of clothing item, using Tensorflow-Keras API & Python ​
Sentiment Analysis of Yelp Reviews
Personal Project
Sentiment Analysis of Yelp Reviews
Personal Project
Python - nltk, sklearn
Built a data model using Multinomial naive Bayes to predict customer's sentiment from reviews on Yelp.
Python - nltk, sklearn
Built a data model using Multinomial naive Bayes to predict customer's sentiment from reviews on Yelp.
Titanic Survival Challenge
Personal Project
AWS EC2, Spark, Pyspark, RDDs
Developed classifiers to predict survival of passengers on Titanic.
Jain University-Admission Dilemma
Data Mining for Business
Python - Regression, Decision Trees
Built a data model (with 80% precision) to set cut-off percentage for new admissions based on previously admitted student profiles.
Federal Employee Satisfaction
Statistical Applications for Businesses
R - Factor Analysis, Regression Analysis
Built a data model (with 83% precision) to predict employee satisfaction. Performed factor and cluster analysis to identify factors affecting the satisfaction of employees.
Profit Analysis of an Auto-Insurance Firm
Statistics for Management
R - Linear Regression
Built a data model (with 91% accuracy) to predict the profit from insured vehicles. Performed cluster analysis to analyze the pattern of claims submitted by customers.
Southwest Airlines-Performance Analysis
Business Data Visualization
Tableau
Created visualization to analyze on-time performance, different types of delays, flight network and competitor analysis of Southwest Airlines.
Microsoft Stock Vs S&P500
Corporate Finance
MS Excel - Regression Analysis
Performed regression analysis of Microsoft's stock prices for a quarter. Built a linear model to predict the stock price based on S&P 500 index.
Database Management Toolset
Enterprise Application Development
J2EE, JSP, JSF2.0 & MVC
Developed a web interface to manage various RDBMS. The web interface provided a secure login, CRUD, Upload Script, Descriptive Analysis, Regression reports, and plots.
AS A VOLUNTEER
