ManetPal Singh

B. Tech in Electronics and Communication from SRM University. Currently obtaining a master’s degree in M. Eng. Technology Innovation Management from Carleton University in order to gain advanced knowledge and opportunities that come from combining management and technology and issues that current managers face when it comes to technology. Detail-focused Data Analyst with knowledge in data warehousing, process validation, and business needs analysis. Proven ability to comprehend customer needs and translate them into practical project plans. Dedicated and hardworking individual with a strong interest in Big Data. Working in the IT consulting and electrical industries is a plus. Excellent reputation for problem-solving and customer satisfaction improvement. Trying to deliver quick, intelligent solutions to the current areas of technology to seek and maintain the full-time position that offers professional challenges utilizing interpersonal skills, excellent time management, and problem-solving skills.

Applied Analytics

Project Title Text mining , calculation of Semantic brand Score (SBS), Integration and stimulation of data through user interactive web Platform Stream lit.

Streamlit Webapp Sept 22- Dec 2022

Created a machine learning model using python programming language, from an unstructured dataset using text mining. Data was Mined Through twitter API (COP26 Summit) and then preprocessed. Used generative platform (Streamlit) for creating machine learning applications for calculating SBS.

Administered Installations of Streamlit, Conda , Python environments

Text Mining

Twitter Data Extraction using Tweepy (python)

Data preprocessing

learnt Removing Punctuation, Applying Tokenization, Removing Stopwords, Applying Stemming

Textual Data Analysis

Acquiring knowledge about Sematic brand score , co-occurrence network (NLTK Python package).

The model's outcomes were tested by examining the most frequent words and the co-occurrences of each pair of words. In addition, the prevalence, diversity, connectivity, and SBS values were evaluated to substantiate the findings.

Applied Programming

Project Title Creating a Data driven Model for Prediction of Heart disease

Using Orange Sept 2022 - Dec 2022

Administered Installation of Orange Platform, Getting Familiarized with Widgets.

Making data sampler to look for features and co-relation.

Working on widget for test-train split

Performing classification through qualifiers like logistic Regression, Tree, Naive Bayees,Neural Network

Test- and score function and confusion matrix to check accuracy of models.

Using Python Jan2022-April 2022

Upgraded skills on Python, Matplotlib, Numpy, Pandas, Colab, Scikit-learn , cat-plots & Logistic Regression

Developed a Classification logical Regression Model for Binary Predictive analysis

Developed skills on co-relations, bar-plots , heat maps, training and test data sets , test score accuracy.

Demonstrating model predicting heart disease by entering values from data sets.

Data Intensive Applications

Design and development of data-intensive applications dealing with large-scale data

Jan 2022-April 2022

Project Work from Home Sentiment around globe and its prospects after Covid 19 Pandemic

Text Mining

Twitter Data Extraction using Tweepy (python)

Data pre-processing

learnt Removing Punctuation, Applying Tokenization, Removing Stop words, Applying Stemming (NTLK package)

Textual Data Analysis

Acquiring Knowledge about sentimental analysis, Concepts of subjectivity, polarity and creating a function for calculating them.

Data Visualization and Text Classifications

· Getting familiarized with scatter plots and Textual analysis through word cloud (eaborn library)

· Developing Code for count-vector and N-grams for Supporting Sentimental Analysis

Demonstrated sentimental analysis with visual analysis in the form of word clouds and scatterplots and engineered the approach of count vector to investigate n-grams, which is unique in contrast to past studies

Tableau 2020 A-Z: Hands-On Tableau Training for Data Science Udemy, Online April-2022

Data visualization discovering data patterns such as customer purchase behavior, sales trends, or production bottlenecks. Connecting Tableau to a Variety of Dataset ,Analyzing , Blend, Join, and Calculate Data . Visualizing data in the Form of Various Charts, Plots, and Maps.

Excel: Power Query (Get & Transform)

National Association of State Boards Of Accountancy (NASBA), Online Jun 2021 - Jul 2021

Explain the differences between Power Query and Excel. Distinguish the steps for querying data from different sources. Describe how to manage data in table queries.

Interpret the use of IF statements.

Distinguish between the types of joins to use given a scenario. Determine the elements required for a fuzzy match.

Excel: Power Query for Beginners

LinkedIn, Online

Jun 2021 - Jun 2021

learned How to use Power Query to connect to your data source, filter data, and create conditional columns of data, significant cleansing capabilities of Power Query

Data Science

Intern Shala Trainings, Online May 2021 - June 2021

Successfully completed a six week online certified training on Data Science. The training consisted of Introduction to Data Science, Python for Data Science, Understanding the Statistics for Data Science and Predictive Modelling and Basics

Technical Support Fundamentals

Google, Online

Mar 2020 - June 2021

In this course, I was introduced to the world of Information Technology, or IT. I learned about the different facets of Information Technology, like computer hardware, the Internet, computer software, troubleshooting, and customer service.

English

Hindi

Punjabi