Harsh Shukla Resume
HARSH SHUKLA
| Chicago, IL � 60618
SUMMARY
Predictive Analytics graduate student with keen interest in Data analytics and Predictive models. Familiar with advance machine learning algorithms, data analytics/processing, Regression, decision trees, ensemble learning. Able to explain analytical solutions using data visualization software to wide range of audience in a clear and precise manner. Proven team leader with broad, collaborative capabilities, detailed work and time bound. Experienced in working with large and complex datasets domaining healthcare, police records, and customer behavior.
EDUCATION
Master of Science in Predictive Analysis
September 2017 � November 2019 (Anticipated)
DePaul University, Chicago, IL
Bachelor of Engineering in Information Technology
August 2012 � June 2016
Gujarat Technological University (GTU), Gujarat, India
TECHNICAL SKILLS
� MS Office Suite (WORD, POWERPOINT, EXCEL)
� SQL (MySQL, PostgreSQL)
� Python, R, SPSS, SAS
� Tableau
PROJECTS
Probabilistic Classification of Lung Cancer in CT Scan Image
September 2018 � November 2018
Data:
LIDC (Lung Image Database Consortium collection)
Implementation:
Ongoing Project where we are planning to build an ensembled Probabilistic classification model using R, SAS and Tableau.
Predicting Automobile Price and Insurance Risk Levels
April 2018 � June 2018
Data:
Automobiles automotive handbook 1985
Implementation:
Developed decision tree and Multi-layer Neural network model for insurance risk prediction and performed PCA, FA and Linear Discriminant analysis to predict the pricing using R and SPSS.
Visualizing Fatal Police Shooting in USA over Race, Poverty and Education Levels
April 2018 � June 2018
Data:
Police killing in united states from 2015 to 2017
Implementation:
Visualized racial gap between killings and does poverty level and education level of the individual states affects the killings or not by creating Diffusion Cartogram, choropleth, Bubble chart and heat map using R and Tableau.
Predicting Probability of Customer�s Likelihood to Frequent a Store Every Week
March 2018
Data:
Departmental Store dataset without a target variable
Implementation:
Generated Target variable using SQL and from domain knowledge and then implemented logistic regression predict customer�s likely hood to come back and purchase less than 3 products on weekly basis using SAS.
Effective Factors on Mental health
January 2018 � March 2018
Data:
International survey of Mental Health in Tech workplace
Implementation:
Performed major data cleaning since it was a survey and built a logistic predictive regression model to check the likely hood causes that can affect on mental health using SAS and SQL.
EXPERIENCE
Information Services Department, DePaul University
Student Assistant at Classroom Technologies Division
September 2017 � Present
� Responsible for on spot equipment trouble shooting, reconfiguring and installing projectors, equipment and software in classrooms. Communicating with clients and resolving queries. Working time constrain.
Web big2day
August 2016 � July 2017
Content Writer and Client Collaboration
� Consulting directly with clients understanding their requirements and providing guidance or solution according to their need.
� Writing website content and understanding domain requirements of clients.
Link Technologies
August 2015 � May 2016
Project Training
� Developed a web portal for discounted student Regional Transportation Services with JSP in JAVA.
Team Leader, Capstone Undergrad Project
August 2015 � May 2016
Active Volunteer at DISA (DePaul Indian Student Association)
January 2018 - Present
HARSH SHUKLA
| Chicago, IL � 60618
SUMMARY
Predictive Analytics graduate student with keen interest in Data analytics and Predictive models. Familiar with advance machine learning algorithms, data analytics/processing, Regression, decision trees, ensemble learning. Able to explain analytical solutions using data visualization software to wide range of audience in a clear and precise manner. Proven team leader with broad, collaborative capabilities, detailed work and time bound. Experienced in working with large and complex datasets domaining healthcare, police records, and customer behavior.
EDUCATION
Master of Science in Predictive Analysis
September 2017 � November 2019 (Anticipated)
DePaul University, Chicago, IL
Bachelor of Engineering in Information Technology
August 2012 � June 2016
Gujarat Technological University (GTU), Gujarat, India
TECHNICAL SKILLS
� MS Office Suite (WORD, POWERPOINT, EXCEL)
� SQL (MySQL, PostgreSQL)
� Python, R, SPSS, SAS
� Tableau
PROJECTS
Probabilistic Classification of Lung Cancer in CT Scan Image
September 2018 � November 2018
Data:
LIDC (Lung Image Database Consortium collection)
Implementation:
Ongoing Project where we are planning to build an ensembled Probabilistic classification model using R, SAS and Tableau.
Predicting Automobile Price and Insurance Risk Levels
April 2018 � June 2018
Data:
Automobiles automotive handbook 1985
Implementation:
Developed decision tree and Multi-layer Neural network model for insurance risk prediction and performed PCA, FA and Linear Discriminant analysis to predict the pricing using R and SPSS.
Visualizing Fatal Police Shooting in USA over Race, Poverty and Education Levels
April 2018 � June 2018
Data:
Police killing in united states from 2015 to 2017
Implementation:
Visualized racial gap between killings and does poverty level and education level of the individual states affects the killings or not by creating Diffusion Cartogram, choropleth, Bubble chart and heat map using R and Tableau.
Predicting Probability of Customer�s Likelihood to Frequent a Store Every Week
March 2018
Data:
Departmental Store dataset without a target variable
Implementation:
Generated Target variable using SQL and from domain knowledge and then implemented logistic regression predict customer�s likely hood to come back and purchase less than 3 products on weekly basis using SAS.
Effective Factors on Mental health
January 2018 � March 2018
Data:
International survey of Mental Health in Tech workplace
Implementation:
Performed major data cleaning since it was a survey and built a logistic predictive regression model to check the likely hood causes that can affect on mental health using SAS and SQL.
EXPERIENCE
Information Services Department, DePaul University
Student Assistant at Classroom Technologies Division
September 2017 � Present
� Responsible for on spot equipment trouble shooting, reconfiguring and installing projectors, equipment and software in classrooms. Communicating with clients and resolving queries. Working time constrain.
Web big2day
August 2016 � July 2017
Content Writer and Client Collaboration
� Consulting directly with clients understanding their requirements and providing guidance or solution according to their need.
� Writing website content and understanding domain requirements of clients.
Link Technologies
August 2015 � May 2016
Project Training
� Developed a web portal for discounted student Regional Transportation Services with JSP in JAVA.
Team Leader, Capstone Undergrad Project
August 2015 � May 2016
Active Volunteer at DISA (DePaul Indian Student Association)
January 2018 - Present