Data Scientist

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Data Scientist

ID : 1519

Education level : Master's degree

Work experience level : Experienced- (4-7 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-11-26

I am a mid-level data scientist looking for a more challenging job. Excellent in logic building with Python language, applying SQL queries, and applying different Machine Learning algorithms using Python, Microsoft Azure and WEKA. I am confident that my experience and expertise will be a perfect fit for your organization.

Data Scientist - Addressable Insights, USA - (Oct 2022 – Present)

Working closely with team lead to do Feature Engineering on publicly available data of contributions made to political parties.
Cleaning up the data entered by the users (Contributions made by US citizens to Political parties). Finding a method, from a few thousand records, that we can apply to millions of records, which will help us in cleaning of the data. i.e. an example of cleaning up is cleaning the employer's name written by the contributor.
Extracting tweets about politics and calculating the sentiment of that tweet. Also, finding better ways (only research) to find sentiment for a particular topic in a tweet.
Using AWS S3 for data handling, Athena for data dumping (to be used in wireframe for visualization), and Databricks to process more data faster, using Spark Pandas API.
Creating interactive dashboards, using Power BI, for the CEO to present to the clients i.e. Angie Craig, Tim Walz (Democrats in Minnesota).
Closely working with the CEO to perform some day-to-day tasks that helps him make decisions regarding our next move.

Data Analyst - Mashkraft, Lahore - (Apr 2022 –Present)

Maintaining database of QQuote (A Canadian Automotive parts company) to keep the database up to date with the data of different automotive companies i.e. Porche etc.
Using Machine Learning (ML), extracting insights from the change in data of automotive companies’ accessories to increase the sales of QQuote.
Creating interactive dashboards, using Power BI, for different clients to convey the data story through beautiful visualizations.
Directly dealing with clients to understand their demands and give demos of different ML models.

Data Analyst - Air University, Islamabad - (April 2021 – Mar 2022)

Maintaining database of students’ admission, subject registration, attendance record, subject marks, and GPA.
Making relational database so that every table is connected with each other, for a particular student, by using student’s registration ID.
Training different Machine Learning Models to solve problems of different departments in the organization i.e. HR department (NLP-Sentiment Analysis), Finance Department (Fraud Detection), Academia (Students’ performance), etc.

Lab Engineer - Air University, Islamabad - (September 2017 – March 2021)

Teach MATLAB and Python language to undergraduate students of Computer Science and Engineering Programs.
Supervise three employees throughout the semester several times for timely completion of labs.
Design course outlines of four different subjects to satisfy PEC’s Washington Accord.

Python language (Advance level)
SQL (Intermediate level)
AWS S3
Databricks
Spark Pandas API
Tableau
Microsoft Azure (Machine Learning)
Power BI
Google Colab
Github

Professional Strengths
Strong team management skills.
Strong team and relationship building skills.
Problem solving and conflict resolution skills.
Experience in planning and meeting the given objectives.
Excellent logic building skills in programming.

Data Mining Course Sep 2020 – Mar 2021
- Python language: Basic functions, libraries like Numpy, Pandas, Matplotlib, Seaborne, TensorFlow.
- SQL language: Basic queries, Joins like outer join, inner join etc.
- Microsoft Azure: From data cleaning to model deployment.
- WEKA: How to use this basic but effective tool to apply algorithms, with limitations.
- Exploratory Data Analysis (EDA), Supervised learning (Classification, regression) and Unsupervised learning (Clustering, PCA).
- Theory of different algorithms (Decision Tree, Random Forest, Naive Bayes, Apriori, KNN, K-Means Clustering, Hierarchical Clustering, Fuzzy Clustering).
- Application of different algorithms using Python, Microsoft Azure and WEKA.
Google Data Analytics Professional Certificate Dec 2021 – Mar 2022
- An understanding of the practices and processes used by a data analyst in their day-to-day job, data-driven decision-making and how data analysts present findings, how to access databases and extract, filter, and sort the data they contain.
- Examine open data and the relationship between and importance of data ethics and data privacy
- Apply SQL functions for retrieving, cleaning and transforming data.
- Usage of Tableau to create effective visualizations.
- An understanding of data frames and their use in R.
Deep Learning Specialization by Deeplearning.ai (Coursera) Oct 2022 – In Progress
- Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications.
- Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow.
- Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data.
- Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering.

A mid-level Data Scientist with skills in Python language (Advance level), SQL (Intermediate level), AWS S3, Databricks, Spark Pandas API, Tableau, Microsoft Azure (Machine Learning), Power BI, Google Colab and Github.

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