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Data Science Intern

Location:
Mississauga, ON, Canada
Posted:
March 08, 2020

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Resume:

Moiz Shaikh

adb7gm@r.postjobfree.com +1-647-***-**** LinkedIn: linkedin.com/in/moiz586

Skillset Summary

• Understanding of Data Management with experience in MySQL, R and other Statistical analytics programs

• Experience with programming language concepts and Data Analysis.

• Experience with ETL tools and services.

• Design and implementation of ML algorithms using Python libraries like Pandas, NumPy, Scikit-Learn, using AWS services.

• Proficient with data manipulation tools such as SQL server Management Studio and writing robust queries with T- SQL.

• Ability to work independently and as a member of a team, transnational leader, quick learner, enthusiastic, hard worker, organized and punctual.

• Strong communication skills – written, verbal, comprehension -Strong organizational skills

• Proficient in all computer applications like Microsoft Office, Web designing, HTML and CSS, PHP, JavaScript, Python.

• Understanding of Business Logic and the requests to give insights based on the data.

• Working Knowledge of Python and other programming languages to develop statistical models and to solve challenging problems.

• Basic concepts, logic, and issues that form statistical reasoning including descriptive statistics, exploratory data analysis, elementary probability, sampling distributions, point and interval estimation, hypothesis testing for normal and binomial data, and regression analysis.

• Develop deep feed forward and Recurrent Neural Networks (LSTM) on internal and external datasets

• Perform data analysis, KPI derivation and development, and fine-tuning of algorithms and statistical models.

• Rapidly prototype models and KPIs using industry standard data science tools such as Python or R.

• Develop data science solutions that will integrate with the existing evolving product architectures.

• Provide innovative ideas and perspectives to improve product features and visualizations.

• Provide insight and suggestions on data analytics tools, platforms, market trends and competitors in the AI and ML spaces.

• Work closely with product, development, and professional services teams to identify actionable data science opportunities.

• Present deep data insights to customers who have a managed service BI requirement. Education

University of Toronto, Mississauga

Double Major in Statistics and CCIT (Communication, Culture and Information Technology) Bachelor of Science, Double Major in Statistics and Communication Technology and a minor in Computer Science. Business Management and Professional writing University level courses. Gained out of the box knowledge through Law, Information Technology and other such courses at UofT. Graduation anticipated in May 2021

Employment History/Professional Exp.

SOTI Inc. - Data Science Intern (16 Months) May 2019 - Present

• Data Engineering

• Understanding the database warehouse of SOTI.

• Working with reporting tools such as Power BI to create reports and dashboards for the Senior Executive Leadership Team.

• Working with relational databases and writing queries in Transact SQL using Windows SSMS.

• SSIS tools and understanding the ETL process and understanding ER Diagram design.

• Data Manipulation with SQL and NoSQL databases on SSMS and MongoDB to transform ETL processes and structure the data to make Visual analytics.

Data Science:

• Text to Speech analysis using AWS Transcribe and audio refining tools

• Using Python to change the sampling rate and the format of the audio files to enhance the transcription job on AWS.

• Research and application of noise reduction algorithms to implement.

• Writing scripts and functions for analysis, keyword extraction and implementation of sentiment analysis.

• Natural Language Processing and Query Understanding Image, Fraud and Abuse Detection, Text extraction and web scrapping to run machine learning algorithms on the filtered dataset

• Working knowledge with S3_bucket, AWS Comprehend and seamless transactions between local machine with the AWS Cloud Platform.

• Implementation of NLTK, Pandas, NumPy, Scikit-learn and other ML libraries to make the production model robust and to improve efficiency.

• Implementation of ML pipelines on cloud-based platform such as AWS transcribe and Comprehend for sentiment analysis and integrating it with S3 storage. Work Experience (Other):

Walmart

Customer Service Manager February 2018 - November 2018 Ensure the customer area is professional and inviting in appearance and customer problems are handled appropriately.

Manage a team of 20+ cashiers and floor associates. Customer service, sales and cash handling experience Excellent time management skills, finishing my work as well as assisting customers and other members of the crew with little to no overtime.

UTM Student Union

Board of Directors: Division I September 2016 - April 2017 Discuss and implement policies demanded by the student body as part of a team. Represent University of Toronto Mississauga – First year students in the Student Union. Work on grounds work of talking to first years and making a friendly environment around them so that they can feel free to share their issues and problems. This mainly required talking and making them aware of the services that are already offered by UTM.

Discuss major changes that we wanted to implement on campus for a better student life on campus. Make a firm decision and give our votes in favor or against the proposals. UTM

PR and Promotions Exec – HSC September 2017 - April 2018 Brainstorm and execute strategies to promote events conducted by the council Manage sales and attendance of the events

Come up with promotion methods and new ideas to promote our event and make sure that most people come out for the event, followed by a series of other events which were also successfully promoted, and people did like our events.



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