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Nikhil Raizada
Address: 15 Lindisfarne Drive Burwood East, Tel: 0420337136
Email: nikhil.raizada95@gmail.com
Career Profile
 Graduated from Deakin University with specialization in Data Analytics.
 Self-driven and accomplished software engineering professional with strong problem skills.
 Experienced in several programming languages and tools with multiple hands-on-projects.
 Progressive experience in developing popular new algorithm-based architecture and technologies
 Plan, implement, install, operate and maintains system hardware, software applications and Information
Technology infrastructure.
 Open-minded and flexible, while being reliable in any team
Education
November 2018 – October 2020 Master of Information Technology (Professional)
Deakin University, Burwood
 Major: Data Analytics
August 2013 – June 2017 Bachelor of Engineering (Electronics and Communications)
Chikara University, Himachal Pradesh, India
Technical Skills
 Python Programming: Python 3, NumPy, Pandas, Matplotlib, seaborn
 Business Intelligence Software: Tableau, Microsoft Power BI
 Database: PostgreSQL
 Advanced Topics: Machine Learning, Deep Learning
 Cloud Platform: Amazon Web Services
 Other skills: R programming language, Statistics for Data Science, Agile Methodologies,
Functional/Regression Testing, TFS, JIRA, Microsoft office
Employment
Jan 2017 – July 2018 Test Engineer
TestingXperts, Chandigarh, India
 Working in an Agile environment and handling deadlines.
 Worked on creating traceability, Test Case Design, Test Case Execution
and Defect Management.
 Experience in testing tools like Customized Bug Management System TFS,
Jira and Test Link.
 Experience in SDLC, STLC, Agile Methodology, V-model and Bug life
cycle process.
 Responsible for risk based testing, Regression, Sanity, User Acceptance
Testing (UAT) and Negative testing on different projects.
 Responsible for managing the Products for Production Releases and overall
accountability for the successful delivery of the quality product.
 Strong Analytical and Organizational Skills along with the ability to work
individually as well as in a team environment.
Projects
October 2020 Dashboard and storytelling with Tableau
 Created dashboard and storytelling with Tableau.
Derived insights for business benefits by analyzing
the dataset of UK bank customers.
September 2020 Business Intelligence Report with Power BI
 Created an interactive business intelligence report
with Power BI. Visualized and analyzed the dataset
of the European debt crisis.
July 2020- August 2020 Predicting Loan Repayment with a Neural Network
 Built a model using Keras API for TensorFlow that
attempted to predict whether or not the borrower will
pay their loan based on historical information.
July 2020 Emergency-911 Calls
 Identified the most popular days of the week for 911
calls to occur. Explored and visualize datasets with
bar plots, heatmap, clustermap. Libraries used:
seaborn, matplotlib, pandas, NumPy.
June 2020 K Means Clustering Project
 Using KMeans clustering to cluster universities into
two groups, private and public.
May 2020-June 2020 Content-Based Movie Recommender System
 Created a content-based recommender system for a
data set of movies using pandas, seaborn, matplotlib.
April 2020 Predicting Loan Repayment
 Explored publicly available data from LendingClub
(2007-2010) and created a Decision Tree and
Random Forest models. Compared the accuracy of
the models and predicted the people(borrower)
having higher chances of paying back their loans.
March 2020 Titanic Survival Prediction
 Built a Logistic Regression model to predict the
survival of a passenger in Titanic, based on
independent variables like gender, passenger class,
age, etc.
February 2020 House Prices Prediction
 Built a Linear Regression model using python to
predict the prices of the house.
November 2019 – December 2019 Web scraping with Python
 Built a web scraper with python to grab the titles of
the book with a 2-star rating from a scraping
website.
May 2016- June 2016 Wireless mobile charger
 Created a circuit which worked on the principle of
mutual inductance. Power was transferred from
transmitter to the receiver wirelessly based on the
principle of “Inductive coupling”.
May 2015- June 2015 Line following Robot
 In this microcontroller-based line follower robot, the
robot uses IR sensors to sense the line. The output of
the sensors was an analog signal which depended on
the amount of light reflected back. The comparator
was used to produce 0's and 1's of the analog signal
and send it to the microcontroller to decide the
direction of the robot.
Professional Development
October 2019 – November 2019 Deakin Study Abroad program
FPT University, Vietnam
 The Internet of Things Study Tour
Extra-curricular Activities
June 2014-December 2016 Sports Club
Chitkara University, Himachal Pradesh, India
 Managed to organize various sports events in the
university
 Delegate events responsibilities to club members based
on interests and abilities ensuring club facilities meet
competition standards
 Led our university’s cricket team as a Captain.
Referees
Pradeep Rathi (Test Manager) at TestingXperts
+919833286255
Nick (Recruiter) at National Workforce
+61399154700

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Resume

  • 1. Nikhil Raizada Address: 15 Lindisfarne Drive Burwood East, Tel: 0420337136 Email: nikhil.raizada95@gmail.com Career Profile  Graduated from Deakin University with specialization in Data Analytics.  Self-driven and accomplished software engineering professional with strong problem skills.  Experienced in several programming languages and tools with multiple hands-on-projects.  Progressive experience in developing popular new algorithm-based architecture and technologies  Plan, implement, install, operate and maintains system hardware, software applications and Information Technology infrastructure.  Open-minded and flexible, while being reliable in any team Education November 2018 – October 2020 Master of Information Technology (Professional) Deakin University, Burwood  Major: Data Analytics August 2013 – June 2017 Bachelor of Engineering (Electronics and Communications) Chikara University, Himachal Pradesh, India Technical Skills  Python Programming: Python 3, NumPy, Pandas, Matplotlib, seaborn  Business Intelligence Software: Tableau, Microsoft Power BI  Database: PostgreSQL  Advanced Topics: Machine Learning, Deep Learning  Cloud Platform: Amazon Web Services  Other skills: R programming language, Statistics for Data Science, Agile Methodologies, Functional/Regression Testing, TFS, JIRA, Microsoft office Employment Jan 2017 – July 2018 Test Engineer TestingXperts, Chandigarh, India  Working in an Agile environment and handling deadlines.  Worked on creating traceability, Test Case Design, Test Case Execution and Defect Management.  Experience in testing tools like Customized Bug Management System TFS, Jira and Test Link.  Experience in SDLC, STLC, Agile Methodology, V-model and Bug life cycle process.
  • 2.  Responsible for risk based testing, Regression, Sanity, User Acceptance Testing (UAT) and Negative testing on different projects.  Responsible for managing the Products for Production Releases and overall accountability for the successful delivery of the quality product.  Strong Analytical and Organizational Skills along with the ability to work individually as well as in a team environment. Projects October 2020 Dashboard and storytelling with Tableau  Created dashboard and storytelling with Tableau. Derived insights for business benefits by analyzing the dataset of UK bank customers. September 2020 Business Intelligence Report with Power BI  Created an interactive business intelligence report with Power BI. Visualized and analyzed the dataset of the European debt crisis. July 2020- August 2020 Predicting Loan Repayment with a Neural Network  Built a model using Keras API for TensorFlow that attempted to predict whether or not the borrower will pay their loan based on historical information. July 2020 Emergency-911 Calls  Identified the most popular days of the week for 911 calls to occur. Explored and visualize datasets with bar plots, heatmap, clustermap. Libraries used: seaborn, matplotlib, pandas, NumPy. June 2020 K Means Clustering Project  Using KMeans clustering to cluster universities into two groups, private and public. May 2020-June 2020 Content-Based Movie Recommender System  Created a content-based recommender system for a data set of movies using pandas, seaborn, matplotlib. April 2020 Predicting Loan Repayment  Explored publicly available data from LendingClub (2007-2010) and created a Decision Tree and Random Forest models. Compared the accuracy of the models and predicted the people(borrower) having higher chances of paying back their loans. March 2020 Titanic Survival Prediction  Built a Logistic Regression model to predict the survival of a passenger in Titanic, based on independent variables like gender, passenger class, age, etc.
  • 3. February 2020 House Prices Prediction  Built a Linear Regression model using python to predict the prices of the house. November 2019 – December 2019 Web scraping with Python  Built a web scraper with python to grab the titles of the book with a 2-star rating from a scraping website. May 2016- June 2016 Wireless mobile charger  Created a circuit which worked on the principle of mutual inductance. Power was transferred from transmitter to the receiver wirelessly based on the principle of “Inductive coupling”. May 2015- June 2015 Line following Robot  In this microcontroller-based line follower robot, the robot uses IR sensors to sense the line. The output of the sensors was an analog signal which depended on the amount of light reflected back. The comparator was used to produce 0's and 1's of the analog signal and send it to the microcontroller to decide the direction of the robot. Professional Development October 2019 – November 2019 Deakin Study Abroad program FPT University, Vietnam  The Internet of Things Study Tour Extra-curricular Activities June 2014-December 2016 Sports Club Chitkara University, Himachal Pradesh, India  Managed to organize various sports events in the university  Delegate events responsibilities to club members based on interests and abilities ensuring club facilities meet competition standards  Led our university’s cricket team as a Captain. Referees Pradeep Rathi (Test Manager) at TestingXperts +919833286255 Nick (Recruiter) at National Workforce +61399154700