Product Manager Intern

BHAWNA MEHTA

347-***-**** adhr9p@r.postjobfree.com New York City, NY www.linkedin.com/in/bhawna-mehta-08510680 EDUCATION

COLUMBIA UNIVERSITY M.S.

IN TECHNOLOGY

MANAGEMENT,

Graduated Sept 2020,

New York, NY

Guru Gobind Singh

Indraprastha University

B.E IN INTRUMENTATION &

CONTROL Engineering,

Graduated May 2016,

New Delhi, India

SKILLS

Python (Numpy, Pandas,

Scikitlearn, Matplotlib), Tableau,

Power BI, Excel, SPSS Modeler, Jira,

C++, SQL, AWS, Google Analytics,

Statistical Analysis, Business

Analytics, CRM, Salesforce,

Requirement Analysis, Market

Research, Product Strategy, A/B

Testing, Agile/Scrum/Kanban,

SDLC, Stakeholders Management,

Invision, KPIs Monitoring,

Consulting, NLP

COURSEWORK

• Applied Machine Learning and

Artificial Intelligence

• Modern Database Architecture •

Operations Management

• Sales & Marketing Analytics

• Leading Disruptive Technologies

• Product Management

CERTIFICATIONS

• Developing on AWS (on-going)

• Machine Learning by Stanford

University on Coursera.org

• Data Science Bootcamp on

Udemy.com

PROFESSIONAL EXPERIENCE

PharmD Live Washington DC

Product Manager Intern Jun 2020- Present

• Define the product roadmap for an internal dashboard that stored and displayed patient’s information used by clinicians

• Facilitate on-boarding documentation and deliverables, code-collaboration and review setup, build versioning system for business process modeling

• Led a team of 7 engineers using agile methodologies, held scrum ceremonies, thereby improved the team’s sprint confidence by 30% Advance Hydrau Components Pvt. Ltd. New Delhi, India Product & Business Associate August 2016- May 2019

• Led 20+ user interviews on a monthly basis and collected customer feedback to understand pain points around the sales order processes to help inform the future product roadmaps

• Manipulated, cleaned and processed data (50,000+ data entries) using complex SQL queries

• Performed strategic activities to gain increased market share, and defined value propositions for combined product market lines in alignment with global strategic goals and roadmaps

• Collected data on competitors, consumers, marketplace, and consolidated presentations used for investor meeting, using Excel, Tableau and PowerPoint

• Partnered with vendors and suppliers to effectively manage inventory budget and resources

• Designed email campaigns and marketing campaigns for product launch which increased customer traction by 30%.

• Presented monthly analytics report to the management team; reporting daily, weekly, monthly key performance indicators using Tableau resulting in improved revenue forecasting (generating additional 8% of annual growth) ACADEMIC PROJECTS

Credit Risk Analysis

Applied Machine Learning Jan 2020- Mar 2020

• Completed project on assessing credit risk of an individual using classification algorithms and feature engineering

Movie Recommendation System

Data Analytics, CU Mar 2020- Jun 2020

• Designed an analytical model to recommend movies to users based on a collaborative algorithm

• Model produced a ranked list of items on which a user might be interested, in the context of their current choice or prior choices Comparative Analysis of Machine Learning Algorithms to Predict Returns Applied Machine Learning, CU Jun 2020- Aug 2020

• Developed a model to create a long/short portfolio using periodically ranked forecasted returns comparing SVM, Random Forest and Gradient Boosting techniques on training and test sets which predicted individual returns for DJ30 Index constituents

Contact this candidate