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Data Python

Location:
Noida, Uttar Pradesh, India
Salary:
$75000 - $85000
Posted:
January 21, 2021

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Resume:

JASMAN PREET SINGH

E-mail – adjljx@r.postjobfree.com Mobile – +1-347-***-**** LinkedIn GitHub Harrison, New Jersey EDUCATION

New Jersey Institute of Technology [Sept 2019 – May 2021] MS – Information Systems GPA – 3.61

Course Work: Web System Development, System Analysis and Design, User Experience Design, Enterprise Database Management, Data Analytics for Info Systems, Machine Learning, Data mining for managers. Guru Tegh Bahadur Institute of Technology [Aug 2015 – May 2019] BS – Computer Science & Engineering GPA – 7.29

TECHNICAL SKILLS

• Languages known –Java, SQL, HTML, CSS, JavaScript, Python

• IDEs and Software – MYSQL, MS Office, Excel, Git, Node.js, Tableau

• Deployment Tool – Docker, PyCharm, Spyder, Jupyter, Visual Studio Code, Travis CI, Azure

• Operating Systems – Windows and Linux

• Methodologies – Agile (Scrum), UML

EMPLOYMENT

Junior Chat Bot Developer Intern, Fresh River.ai (New Jersey, USA) [June 2020 – Dec 2020]

• Build AI Chat Bots, trained Machine Learning NLU models that improved the model accuracy and quality of user-facing results.

• Designed and implemented conversation designs, Sentiment Analysis, POS Tagging, Named Entity Recognition, Language Identification.

• Responsible for helping the company to select and scope the projects of highest customer value, evaluate resource requirements, plan milestones, and outline technology roadmap. Analyst and Developer Intern, Centre for Railways Information Systems (New Delhi, India) [June 2018 – July 2018]

• Developed a Web Page of Company Placement to maintain the recruitment system using web forms.

• Worked on technologies such as JSP to create a web application and provide more functionality with HTML tags.

• Examined algorithms for analyzing the data of students using Java and SQL to generate records of user placement reports that are placed and unplaced.

PROJECTS

Analysis of Insurance company (SAP, JMP, Excel)

• To analyze the data and adjust it by omitting diver variables that are not useful and identifying the omitting errors.

• Devised a business plan, use the regression results of the model to estimate claim amounts for new insurance customers.

• Analysis of data file with a neural net methodology and compare the results to the regression analysis for expected claims. City Library Database Management Systems (Java, HTML5, CSS, SQL)

• Worked on developing a data management application for a city library with numerous branches, keeping a record of its multiple types of users, their activities, and the journals, books, publishers, authors/editors, etc.

• Created queries in SQL for the database programming and used its connectivity with Java and Servlet programming to develop backend of the application. Also, used Java Server Pages with HTML5, CSS, and Bootstrap for the front-end of the application. COVID-19 Data Visualization Project (Tableau Dashboard, Excel)

• Projected different techniques to visualize cases of COVID-19 in Tableau that determine factors of rising cases worldwide.

• Created reading material for better analysis and explanation of data flow using end user tools like Word and Visio.

• Formulated an efficient method of clustering the dataset of points to keep the data of clusters accessible. Statistical Calculator (Python, VCS, Travis CI, Docker, Python)

• Developed a statistical calculator that calculates mean, median, mode, variance, correlation coefficient, the proportion of the population, and samples.

• Created datasets and unit tests for each of the above functions to run successfully and tested using the Travis CI.

• Performed and built RESTful Blog APIs using python and flask that has the four CRUD operation and authentications using JSON Web Token (JWT).

Random Hyperplane for Classification (Python, NumPy, GIT)

• Datasets are trained and tested with labels projected in same format and are uniformly sampled between -1 and 1.

• Hinge loss run on the predicted data after standardization of the data that makes it more accurate.

• Projection of data onto the weights and providing output in zero-one feature space with error less than 1%.



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