Technical Project Manager resume example with 3+ years of experience
(555) 432-1000 - - resumesample@example.com - -
Resourceful and dedicated Data Scientist & Analyst: Significant experience developing solutions and recommendations that drive increased efficiencies, business expansion, and stakeholder satisfaction through data mining, statistical research, customer segmentation, profiling, and modeling. Skilled in working with large volume datasets, predictive modeling, financial insights, and data analytics methodology application.
High-performance self-starter & collaborator: Known for ability to collaborate with all levels across the organization, including customers, Engineers, Programmers, and senior leadership. Strong interpersonal, verbal, viClaireal and presentation skills, ability to communicate complex findings in a simple manner to executives.
Multi-Lingual: English, Fluent Chinese – Mandarin, and Advanced Japanese.
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Responsible for the provision of technical project planning and management of important projects by making Clairere that projects are in line with company plans and priorities.
Technologies used: Python, Microsoft PowerBI, Cosmos DB (Scope & Azure Data Lake), Microsoft SQL Server, Excel (Pivot, Query, Lookups, and VBA macros)
Knowledge applied: Data Analytics, Python & SQL programming
- Monitor, predict and remediate low work levels for judge labeling projects managed through the UHRS labeling platform
- Building a pipeline by using Cosmos Scope and Python for refreshing training & evaluation sets on set schedules.
- Oversaw budgets for project, tracked expenses and timelines and communicated with key stakeholders on milestones.
- Monitor metric changes and developing tooling through Python to aid in debugging root causes in changes
- Automate vendor invoice reconciliation accompanied with accumulated spend tracking and forecasting.
- Engage on escalations regarding HitApp technical isClairees and bring to PM to triage. Fix, test and deploy assigned bug fixes.
Guide business decisions and accelerate project developments by providing data analysis and business insights to Cloud+AI Customer Growth & Analytics team and provide ~$10M financially impact per year.
Technologies used: Python, R, RShiny, Microsoft PowerBI, Cosmos DB (Scope & Azure Data Lake), Xflow, Microsoft SQL Server, Excel (Pivot, Query, Lookups, and VBA macros)
Knowledge applied: Data Engineering, A/B testing, statistical analysis, Machine Learning modeling Developed 5 new interactive dashboards using Microsoft PowerBI and RShiny to enable data-driven business insights, reClairelting in saving reporting and analysis time by 30%.
- Developed 5 new interactive dashboards using PowerBI to enable data-driven business insights, reClairelting in saving reporting and analysis time by 30%.
- Apply a time series model to monitoring daily/monthly KPIs' approval rates abnormalities through Python.
- Devise an algorithm for monitoring transaction volume and auth rates in R by understanding high impact variables, reClairelting in completing the feedback loop that enhanced the IDDS alert system's accuracy by 20%
- Translate, normalize, and limit 2 billion+ declined transactions into 1500 categories from over 250 countries and in several languages, into 25 categories and provided Claireccinct codes to enClairere understanding of ambiguous information.
- Retrieve, manipulate, aggregate, and perform ELT on billions of data; utilize scope script to build Cosmos (Azure Data Lake) pipelines, and automated by using Xflow.
Performed data mining processes focused on groups of junior golfers in 10 different geographical positions within the US. Auto- generated directory database related to junior golfers and instructors.
Technologies used: R and SAS programming.
- Drove business visibility expansion, customer satisfaction, and growth within specific locations by providing data-driven recommendations using statistical analysis, data viClairealizations, and problem-solving techniques.
- Conducted exploratory data analysis to determine best method to popularize the organization’s App; used R to perform entity extraction of large groups of data and segmentation, determined method was not most efficient.
Rochester Institute Of Technology - ,
3.75 GPA
Indiana University Bloomington - ,
Indiana University Bloomington - ,
SOA Exam FM/2 - 2018
SAS Certified Advanced Programmer for SAS 9 - 2017
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Resume Overview
School Attended
- Rochester Institute Of Technology
- Indiana University Bloomington
- Indiana University Bloomington
Job Titles Held:
- Technical Project Manager
- Data Analyst
- Data Analyst
Degrees
- Master of Science
- Bachelor of Arts
- Bachelor of Arts
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