Data Scientist

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Data Scientist

ID : 1409

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 :

2022-12-08

Australian Graduate as Data Scientist having more than 5 Years+ of working experience as ML backend developer for prediction modeling and mining experience for creating a UI as frontend developer with backend developer for data extraction featuring. Possess IBM Data Science Professional Certification from Coursera.

Senior Data Scientist - CampWest LLC, Karachi, Pakistan ( February 2022 - Still In progress)

Developing SQL queries in Big Query for performing smooth transition of Datasets.
Managing the Data Engineering Pipelines with UNRaid Servers through python script for performing ETL activities into BQ.
Predicting Sales through SARIMAX algorithm for Seasonal Data set for entire period of one year.
Developing Dashboard in Google Data Studio for giving real time insights through BQ data sets.
Using Google Analytics to manage the metrics and making the extract into Data Studio for daily analysis.
Managing notion and Zendesk ticket management service in order to provide Zendesk Supermetrics to our Data Studio for Agent Stats.
Using Machine Learning algorithms in order to produce Churn Analysis for the lost customer.

Data Scientist - Ministry of IT (NITB) (Govt.), Islamabad, Pakistan (January 2021 – January 2022)

Predictive Modeling with Spyder, Jupyter Lab, pandas, scikit learn for
preprocessing and Modeling like (KNN, Logistic Reg, XG Boost Reg)
Used feature scaling libraries like Standard Scalar or MinMax Scalar for normalizing the data.
Used feature engineering libraries like LabelEncoder, One Hot Encoding, tfidvectorizer for converting categorical data into
continuous data.
Used chi-square test library to conduct the feature selection processing through t-test scores.
Used seaborn library for visualizing & analyzing the distribution of dataset on hyperplane, it includes selection parameter of ALGO to get fixed. Used GridSearchCV library to obtain hyper parameter tuning of the model for any ALGO.
Integrating RASA chatbot with our communication tool app, using NLP libraries and pipelines for lemmatizing and masking
COVID19 time series analysis for predicting future with Exponential Smoothing library.
Deploying the ML models on NTC servers with Docker images in
production environment. Using NLP to conduct OCR for image
processing documents and legitimating the text summarization
use case with SpaCy library.
Build e-office dashboards on Tableau to perform real time insights from databases.
Used pytesseract library for image text processing to extract the data from the multiple documents and build text generation use case.

Data Scientist Intern - Reesby Pvt Ltd, Melbourne, Australia ( July 2019 -Decemeber 2020)

Created UI based dashboard for web scraping multiple URL’s with python built in library called tkinter.
Use Logistic Regression and SVM algorithm for conducting comparative analysis to validate accuracy of a model
Use NLP (SpaCy) for preprocessing the data and handling semantics for making qualitative data.

Data Analyst - Soorty Enterprises, Karachi, Pakistan (February 2016 - May 2018)

Using Pandas and Seaborn libraries to make visualization of data and using PowerBI for building dashboards.
Mainly done work for visualizing the patterns and making use of structured,data-set.

Senior Merchandiser - AFGI, Karachi, Pakistan ( February 2010 - December 2015)

Handle EU customers like VF having multiple brands like Wrangler and Lee for sampling and production
Handle H&M cut to pack trims and fabric inhousing through ERP Oracle based software.

Troubleshooting
Python Coding
Data Analytics and Visualization
SQL
NoSQL
Machine Learning
NLP
Scraping
Tableau
Power BI
Future Skills
- Apache
- Spark
- Scale
- MangoDB
- S3
- Hive

Deep Learning
Decision Making
Customer Satisfaction

AWARDS
- Employee of the month
- Ideas creator and problem solver - Reesby
CERTIFICATIONS
- IBM – Data Science Professional Certification (2019 - till now)
- IBM – Machine Learning with Python Certification (2019 - till now)
- IBM – Deep Learning with tensorflow Certification (2019 - till now)
- Dice Analytics – Big Data in process

Troubleshooting, Python Coding, Data Analytics and Visualization, SQL, NoSQL, Machine Learning, NLP, Scraping, Tableau, PowerBI, Future Skills: Apache, Spark, Scale, MangoDB, S3, Hive

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ID : 2040

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Education level: Bachelor's degree

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Education level: Bachelor's degree

Work experience level: Beginner- (internship- 1 year experience)

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