Chanpreet Singh

About the Candidate

Apt. 1713

180 Lees Avenue
CHANPREET SINGH
Contact: +1(873) 288-0873

LinkedIn: Chanpreet Singh
Ottawa, Ontario K1S 5J6
Chanpreetsingh@cmail.carleton.ca

 

TECHNICAL SKILLS

• Web Technologies: HTML, CSS, AJAX, JavaScript, PHP, Bootstrap, SEO

• Database: SQL, CSV, Big data, Google Cloud Platform, AWS, MySQL, MS Excel, MS Access, Tableau, Google Data Studio, Adobe Analytics, Adobe Targets, Google analytics, Google Search Console, Google Tag Manager

• Software Tools: Teradata SQL, XAMPP, RStudio, Android Studio, MS Office, Jupiter Notebook, Adobe Photoshop, Word Press, GitHub, Asana, Slack, HubSpot, CRM, Trello, Moz, CMS, Datorama, site search 360

 

• Logical Programming skills: C, C++, Arduino, Java, basic concepts of C#, Bash, R, Python

• ML Frameworks: NLTK, Pandas, NumPy, TensorFlow, Sklearn, Matplotlib, GeoPy, Seaborn, SciPy, Scikit-learn

PROJECTS AND TRAINING EXPERIENCE

Digital Analytics Associate Manager, Wurth Canada (Sept 2022-Nov 2022)

• Inform digital strategy, website development and digital technology investments through analytics and data science
• Work closely with business partners to uncover powerful insights from a variety of big data sources using advanced tools, methodologies and algorithms
• Utilize online and offline data to understand digital performance in context of the overall business
• Profile and segment digital customers, analyze purchase behavior and functionality usage through digital channels
• Manage projects associated with Adobe analytics, Adobe campaigns implementation
• Build performance dashboard, define KPI’s, create calculated metrics, dimensions in Adobe analytics for business reporting to stakeholders
• Analyze opportunities and customer trends in the digital marketplace
• Seek to drive profitable investments through the unbiased evaluation of financial impact of technology and digital marketing investments

 

Data Analyst, Bell Canada (May 2021- Sept 2022)

• Perform exploratory data analysis on data from the customer self-serve portal (Bell Business Market)

• Build Dashboards using Teradata, Matomo, MS-Excel, MicroStrategy and other tools to help derive data-driven decisions

• Perform testing and validation of customer requests pipeline from self-serve centre to Smart-Path and analyze the results in Matomo testing environment

• Create tags, triggers, variables, and regular expressions to track user interactions on website

• Build Goal-Campaigns, Process-Funnels, Heatmaps and Forms to attain specific results such as KPI’s for user engagement, time spent, drop rate, conversion rate etc.

 

Digital Main Street-Web Developer, Invest Ottawa (Aug 2020- May 2021)

• Meet with clients and team leads to identify the needs and design of a website

• Create and test applications for a website

• Write code for websites and Develop dynamic and responsive web pages

• Work with UX/UI and graphic designer to develop mockups and execute on the user experience design plan

 

 

 

• Work with team to identify and add information and content onto the site including graphics, audio, and video

• Working with web content writing and Implementing search engine optimization (SEO)

• Edit and fix company websites to combat bugs and small errors

• Working with team to Develop Strategies for social marketing campaigns

• Manage projects-communicate and collaborate with supervisor and other designers and writers

• Working with Google Business Solutions including setting up Google My Business profile, Google Analytics, Google Search Console, Google AdWords and Google Merchant Centre

• Provide training and useful resources to newly hired Web Developers

 

Master’s Thesis-Research and Analysis, CU (May 2019-June 2020)

• Developed a unique machine learning model for studying and predicting depression in users on social media using various data analysis concepts
• Originated real-time Twitter data mining using Twint Tool and Tweepy (Python library)
• Instigated detailed research reviews for more than 20 existing published papers
• Implemented Topic Modeling, GloVe embeddings, Word2Vec, TF-IDF, Natural Language Processing, NLTK, Sentiment Analysis, Random Forest, Logistic Regression, SVM, XGBoost, Adaboost, Gradient Boost, LSTM, Bi-LSTM, Recurrent Neural Networks
• Accomplished highest accuracy compared to existing researches under Support Vector Machine by 98.14% using sentiment analysis on Word2Vec and TF-IDF within the tweets
• Attained utmost accuracy among existing researches under Gradient Boosting by 95.26% using 12 unique attributes by extensive feature engineering, Lexical features of vocabulary, and extraction of emotion from the text with User Level approach.
• Performed data visualization, data cleaning, matrix transformation functions, computation of confusion matrix for each algorithm’s performance using various metrics in detail, K-FOLD cross-validation as well as time complexity

 

Machine Learning Classification Research, CU (May 2019-Aug 2019)

• Airline Sentiment Analysis in Python
• Executed Data Visualization, Association Rule Mining, Clustering and K-Fold Testing
• Performed Naïve-Bayes, ANN, Support Vector Machine, Stochastic Gradient Descent, Random Forest, K-Nearest Neighbors, Logistic Regression, and Perceptron
• Improved time complexity of the model and achieved the highest accuracy using Artificial Neural Networks by 94.21%

 

Data Analytics Predictive Model, CU (Jan 2019-April 2019)

• Income Prediction Analysis in R programming
• Conducted more than 15 existing research reviews related to the topic
• Achieved highest accuracy compared to existing researches using Gradient Boosting by 89%

 

Human-Computer Interaction, CU (Jan 2019-April 2019)

• Devised a women’s wearable safety device prototype with 2 different input modes
• Performed research, analysis, design, Arduino programming, as well as ethics certification for research involving humans along with conduction of market survey testing and debugging

 

Customer Churn Analysis in R programming, CU (Sept 2018-Dec 2018)

• Programmed EDA, Data Cleaning, preprocessing and enhanced feature engineering
• Built Logistic Regression, GBM, DNN, and Random Forest (Bagging)
• Pioneered accuracy and streamlined processes using Deep Neural Networks by 84%

 

Android Development – City Tour Guide App (July 2016-Jan 2017)

@ (SPIC) Society for Promotion of IT in Chandigarh, India

• Developed and modified software modules in collaboration with a team of 4 using Scrum/Agile methodology
• Implemented Java, JSON for development, XML for designing, and PHP for interconnecting MySQL database using XAMPP
• Revamped user interface for better interaction experience, devised a smart tour planning guide, as well as expedited route information using real-time location coordinates

 

Web Development Training (June 2015-Aug 2015)

@ Trigbit Technologies, Ludhiana, Punjab, India

• Designed dynamic serving E-Commerce shopping website
• Spearheaded front-end development using Javascript, jQuery and HTML5, design using CSS3 and Bootstrap, back end coding using PHP, AJAX, MySQL, and PayPal sandbox
• Implemented Software Development Lifecycle (SDLC)

 

Certificate course of C/C++ (June 2014-July 2014)

@ Alpha Tech Computers, Ludhiana, Punjab, India

• Drafted programming syntax and developed code structure for application development
• Reconstructed Logistics to solve problems using C and C++ programming languages
• Intermediate Proficiency in Object Oriented Programming (OOPs) concept

 

EDUCATION

Carleton University (CU), Ottawa, ON, Canada (Sept 2018-June 2020)

• Master of Information Technology (MIT): Digital Media specialization in Data Science

Guru Nanak Dev Engineering College, Ldh., Punjab, India (May 2013-May 2017)

• Bachelor of Technology (B.Tech.): Information Technology

VOLUNTEER EXPERIENCE

• Volunteer Council Member in Graduate Students’ Association (G.S.A), Carleton University

• Volunteer administrator in International Student Services Office (ISSO), Carleton University

• Planned and organized various social welfare events such as blood donation, planting trees and successfully raised funds and amenities for underprivileged

• Volunteer Data science lecturer at Government senior secondary school, Sidhwan Kalan, Ludhiana, Punjab, India (Feb 2023-March 2023)

EXTRA-CURRICULAR ACTIVITIE S

• Training skills in software like Virtual DJ Pro, Turntables Sound Mix Studio

• Video Visual Effects (VFX) and graphics software like Final Cut Pro

• Professional photo editing, Graphics & Logo Designing using Adobe Photoshop CS6+

• Social Media blogger (20k followers), Singing, Cooking, Photography, Travelling, & playing Chess