Python Manager

Tanvi Kulkarni

**** ******** *****, *******, ** *1227 301-***-**** ***@****.*** https://www.linkedin.com/in/tanvikulkarni11/ Education:

University of Maryland, Baltimore County, Baltimore Aug 19 - Master of Science in Information Systems

• GPA: 3.3 (Current)

Rajiv Gandhi Proudyogiki Vishwavidyalaya, Madhya Pradesh, India Aug 14 – May 18 Bachelor of Engineering in Computer Science

• GPA: 3.5

Technical Skills:

Programming Languages: JavaScript, Python

Databases: SQL, PL/SQL, Oracle DBMS

Visualization Tools: Tableau, Microsoft Excel, Google Studio, Weka Projects:

Sentiment Analysis on User Comment (Topic: Can we totally trust 5 stars?) Feb 20 - May 20

• Assume the text review on Yelp application does not 100% match the corresponding rating stars, accessed the recent Yelp dataset from Kaggle website and then preprocessed it using Python and then done classification based on positive, negative and neutral text review by using Python libraries. Finally visualized by using Tableau. Project Link: https://github.com/t8817/Sentiment_Analysis_Yelp_Reviews. Managing Doordash Complaints Feb 20 - May 20

• Objective: Identifying business problems in current model of Doordash (a food delivery startup) and proposing the corresponding solution. The business model was analyzed carefully based on data available from several sources; several solutions such as fraud detection, secure delivery policy, delivery locking was drafted and implemented separate feasible analysis on each of them. Course Scheduling System Aug 19 - Dec 19

• Big Idea: PL/SQL based relational system for scheduling courses. Implementation: Using functions, triggers and procedures, implemented a role based authentication system to abstract the information. Successfully established key dependency between tables and created views to reduce API overhead.

Movie Recommendation System Aug 19 - Dec 19

• Aim: The project aims to build a movie recommendation mechanism within Netflix, using data set directly from Netflix. Our Main aim was to do the comparative analysis of the collaborative filtering model and content-based filtering methods. Related Work Experience:

Business Analyst Intern, Digikart IT Solutions, India Nov 18 - Jun 19

• Assigned to work with the more than 5 development team and work for their database management (SQL).

• Assist the team with testing reports and dashboards that are being developed by the team.

• Prepared professional graphs, charts, and presentations, and participated in team meetings with executives.

• Successfully managed/delivered 4 projects within budget and hit over 60% of milestones. Web and Enterprise Development Internship, Pahal Techno-vision Indore Jul 18 - Oct 18

• Familiarity with SQL databases and programming.

• Knowledge about how the HTTP protocol works and how basic web interaction takes place.

• Knowledge of HTML, Specifically basic page structure and how HTML forms work.

• Understanding of software project management and the software development lifecycle. Talent Acquisition Trainee, Collabera, India Jan 18 - Jun 18

• Worked with hiring manager to document requirements of job openings as required opening requisition(s) under minimal supervision.

• Surfaced candidates and develops networks of people and processes to support a strong pipeline of qualified candidates.

• Documented candidate evaluation and interview process.

• Conducted employment background checks and reference checks. Extracurricular Activities:

• Appointed as Associate Guest Service Attendant for UMBC event center.

• Attended workshop on “Analytics Application and Career in Data Science”.

• Participated in IT Wizard curriculum as a Delegate under National Institute of Information Technology (NIIT).

• Participated in Virtual Lab Workshop organized by Indian Institute of Technology (IIT) Delhi.

• Volunteer UMBC Math Coach and work with a small group of students for two hours each week on key concepts in math at Lakeland Elementary/Middle School.

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