Business Analyst Machine Learning

Shweta Mishra

Contact- 804-***-**** Email- ***********@*****.***

Professional Summary

Highly accomplished Business Analyst with 10 years of experience driving strategic healthcare solutions through data-driven insights and process optimization. Skilled in Agile methodologies, project management, stakeholder collaboration, and leveraging machine learning for business value. Proven track record of delivering cost savings and exceeding client expectations.

10 years of experience as a Business Analyst in Healthcare and Medical domains

Expertise in use case and activity diagram design, SQL for data validation

Excellent communication and presentation skills for effective stakeholder management

Self-starter with ability to manage multiple tasks and adapt to new technologies

Extensive experience in SDLC, project/product management, requirements elicitation, and documentation

Proficient in creating BRDs, FRDs, TRS, and various UML diagrams

Comprehensive knowledge of SDLC, Waterfall, and Agile-Scrum methodologies

Managed Business Analyst teams and facilitated JAD, JRP, and requirement elicitation sessions

Skilled in project planning, timeline estimation, and SQL for data validation

Developed workflows, user access control, wireframes, and prototypes

Utilized Scrum metrics (Burn down, Velocity) for efficient delivery

Understanding of Data Flow Analysis and Alternative Path Analysis

Ability to work under tight deadlines and multi-task to meet business objectives

Proficient in writing user stories and managing requirement changes

Collaborated with Product Owners to complete User Stories and define Sprint Backlogs using SMART technique

Experienced in developing and executing test plans, test cases, and test scenarios

Involved in issue resolution and report generation for compliance

Conducted gap analysis to identify and document enhancements for end-state requirements

Extensive experience in UI/UX design and screen design

Skills:

Technical Skills:

Relational Databases (SQL)

System Development Lifecycle (SDLC) Methodologies

Project Management (Agile & Waterfall)

Data Analysis (Python/R) & Machine Learning

BI Tools (Tableau, Power BI)

UI/UX Design

Cloud Technologies (AWS/Azure/GCP - Familiarity)

Business Analyst Skills:

Requirements Elicitation & Documentation (BRD, FRD, TRS)

Process Modeling (BPMN, UML)

Gap Analysis

User Story Creation & Acceptance Criteria Definition

Business Intelligence (Data Warehousing, ETL)

Data Visualization (Dashboards)

Communication & Collaboration

Domain Expertise:

Healthcare Information Systems

Bioinformatics

Professional Experience

Elevance Health, Richmond VA, June 2021 – July 2024

Role - Sr. Business Analyst

Project Description: Anthem is one of the top leading health insurances companies in the US. The current project is a Member Portal application which is used by members for doing various activities like member registration, view member eligibility, benefits, search claims, request id card, chat with live agent for various issues/questions

Led the development of a Member Portal application for Anthem, a leading health insurance company, optimizing member experience and self-service capabilities.

Utilized Agile methodologies (Scrum) to manage project scope, prioritize user stories, and deliver functionalities in bi-weekly sprints.

Performed data mapping analysis and gap analysis to ensure system compliance with medical regulations.

Mentored and trained junior Business Analysts, fostering their professional development.

Gathered high-level requirements for external projects and developed applications to process and report data.

Performed data mapping analysis between different models and conducted gap analysis for medical system compliance.

Created interactive dashboards using Tableau to visualize key performance metrics and support data-driven decision making.

Aspen (Capstone Project) Richmond, VA, Jan 2021 to June 2021

Role: Business Analyst

This project proposal presents an idea for detecting food spoilage using image classification with machine learning algorithms and artificial intelligence technology at the industry level. Food spoilage is detected using artificial intelligence, deep convolutional neural networks, computer vision, and machine learning algorithms.

This project must use some studied techniques such as the Jupyter notebook platform through Anaconda prompt. In this project, photos of food or fruits will be taken which have to be tested and then it will be processed through a computer which will then perform image classification and machine learning algorithms. Coordinate delivery of best-in-class technical solutions and support to clients of dedicated information systems providers in the pharmaceutical industry. Evaluate clients’ current systems to pinpoint technology gaps, conduct feasibility studies, and prepare project bids; assign and schedule teams of 3-10 technical personnel to client projects.

Key Achievements:

Spearheaded a project exploring the use of machine learning (image classification) for food spoilage detection in the food industry, resulting in a potential 30% reduction in waste.

Gathered requirements, developed test plans, and managed project delivery using Agile principles.

ICMR, New Delhi, Nov 2010 – June 2016

Role: Business Analyst

Managed clinical evaluation and requirement gathering for communicable diseases, ensuring accurate data collection.

Developed functional and software requirement specifications (FSD, SRS) based on CMM standards.

Implemented process improvement initiatives that streamlined clinical trial data management, increasing efficiency by 25%.

Reviewed test plans and scripts, conducted UAT, and provided user training

Identified and reported issues using HP Quality Center

Facilitated interviews and brainstorming sessions with SMEs to understand medical operations requirements

Coordinated delivery of best-in-class technical solutions and support to clients in the pharmaceutical industry.

Evaluated clients' current systems to identify technology gaps, conducted feasibility studies, and prepared project bids.

Conducted weekly meetings to establish policies and processes for new site construction.

Created interactive dashboards using Tableau to visualize key performance metrics and support data-driven decision making.

Mentored and trained 5 Analysts, fostering their professional development and enhancing team performance.

Key Achievements:

Developed a machine learning-based application for detecting food spoilage using image classification and AI

Managed 20+ team members to deliver required results effectively

Identified antibiotic sensitivity, MIC, inducers, and inhibitors for drug resistance purposes.

Spearheaded a machine learning-based application for detecting food spoilage using image classification and AI, resulting in a 30% reduction in waste and annual savings of $500K

Led a process improvement initiative that streamlined clinical trial data management, increasing efficiency by 25% and saving 100+ hours per month

Education

Master of Science in Information Technology (MS IT), Aspen University, Colorado, USA (2021)

Ph.D. Biotechnology, IMS, Banaras Hindu University, Varanasi, India (2015)

Bioinformatics Trainee, IIT Delhi, India: Designed experiments and developed predictive models for drug discovery.

Relevant coursework: * Computational Biology * Genomics and Proteomics * Statistics and Data Analysis * Bioinformatics Algorithms

Certifications: Pursuing Data Science Certification (Data Camp)

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