Business Analyst Project Management

Name: Shresta Reddy

LinkedIn: www.linkedin.com/in/shresta-reddy

Contact : +1-475-***-**** Location : Connecticut

Professional Summary:

5+ years of experience in various domains like Insurance, HealthCare, Vision Care & Finance industry and Wealth Management. Practicing Scrum for the past 4 years.And substantial knowledge of Data Modeling, Data, and business Analysis experience in depth knowledge of Data /Predictive Modeling, Data Profiling, Data Migration, ETL, Data Integration, and Reporting.

Proficient knowledge in statistics, mathematics, and analytics.

Strong skills in planning, writing and executing SQL Queries for data analysis, with keen eye to define and correct metrics and tell story behind the data using visualizations and Reporting tools like Tableau, PowerBI, and SAS.

Proficient in Requirements Gathering and translating into concise functional and nonfunctional requirements, translating requirements into Specifications, project management, Application Design and data modeling. Good experience of software development in Python (libraries used: libraries- Beautiful Soup, NumPy, SciPy, matplotlib, scikit-learn, Pandas data frame, MySQL).

Proficient in deriving initial Product Backlog from Product Roadmap and creating user stories, mapping functional specs to story documents, story sizing and estimates, owned backlog grooming sessions, managing product backlog, release backlog, iteration backlog in Jira.

Responsible for interfacing with clients and gaining an understanding of requirements through meetings and discussions.

Insight experience with Project Portfolio Management to improve the project management maturity across the process.

Analyzed and interpreted complex data sets to assist with strategic decision-making, influencing key business initiatives.

Conducted in-depth analysis to validate the feasibility of new dashboard features, which increased user engagement by 15%.

Improved product ranking factors and listing requirements to minimize returns by 26%.

Collaborated with a team to design a proof of concept for a blockchain-based transaction system, which gained positive feedback from 5 potential clients.

Tracked, extrapolated, and interpreted customer data using Python, SQL and Excel to report customer behaviours and state-wide retention numbers.

Traveled 3 of 5 days to work with clients, observing business processes, interviewing staff and documenting practices.

Produce and maintain high quality functional specification document requirement for multi-featured document management system.

Evaluating and concluding data related to customer behaviour.

Developed business plans, determined Key Performance Indicators (KPI), and coordinated the measurement results.

Worked extensively in Development reports using PL/SQL and maintenance projects of Tableau. Familiar with Data Modeling in logistic regression, Market Basket Analysis, and Sentiment Analysis.

Interview business clients to analyze their business requirements and recommend and design technological improvements to their business processes and operational procedures.

Work tirelessly to improve the overall performance and be able to adapt to a new workplace and learning.

Technical Skills:

Category

Skills

BA Skills

- Requirements Gathering, Data Analysis, Business Process Modeling, User stories and Use Cases.

Technologies

- Microsoft Office Suite, Jira, Microsoft Visio, Git, SQL, MS Excel, MS Project, Balsamiq, Databases, System analysis, Agile methodologies, Documentation, Data analysis, SQL, Business Intelligence, Python, Analytical thinking.

Operating Systems

- Windows

- Mac

Methodologies

- Scrum, waterfall, Agile (Scrum), SAFE4.0, MS Access, MS SQL, Azure Synapse Analytics

Data Visualization &BI tools

- Tableau, Power BI, SQL Developer

Databases

Oracle, SQL Server

Other relevant skills and Collaboration Tools

- Documentation & Communication: Technical Writing, Stakeholder Management, Team Leadership, Mentorship

- Jira, Microsoft Teams, SharePoint.

Professional Experience:

Client: Wells Fargo Mar 2024-Present

Role: Business Analyst

Responsibilities:

Managed multiple different projects, delivering successful outcomes and exceeding expectations.

Developed detailed technical specifications and requirements documents to ensure accurate system implementations.

Demonstrated expertise in using a variety of software and reporting tools, including SQL, Java, and Tableau.

Developed detailed technical specifications and requirements documents to ensure accurate system efficiency.

Conducted comprehensive data analysis, generating detailed reports and insights to facilitate business decision-making.

Liaised with stakeholders, providing technical support and guidance to ensure successful implementations.

Utilized Agile methodology to manage project timelines and ensure successful outcomes effectively.

Identified real-time KPIs, Statistical Analytics, Baselining, and Notification for better actions and decisions

Fostered a positive and collaborative work environment, leading to increased employee satisfaction.

Involved in designing creative approaches to uncover the biggest opportunities for cost and time savings

Worked with Data Base Administrators (DBAs) to create a best fit physical data model from the logical data model .

Worked with the Business Intelligence team for filtering, data cleaning, merging, exploratory analysis for the raw data and automated monthly performance reports using SQL queries and MS Excel.

Tech Stack: MS Excel, Microsoft Office Suite

Environment : Windows, MS Office (MS Word, MS Excel, MS PowerPoint, MS Visio), Oracle, SQL Server, Python, Tableau Desktop, Tableau Server 2019.4, LINUX, UNIX, PostgreSQL, Snowflake, Teradata, JIRA.

Client: Unschool April 2018 – Jan 2022

Role: Data Engineer

Responsibilities:

Delivered Power BI dashboards and Excel tools to visualize financial and fraud risk scenarios.

Developed ETL processes for collecting, cleansing and integrating data from various sources, including APIs, internal databases, cloud storage .

Incorporated Python and SQL intol datapipe;lines, ensuring that high availability and performance of the data infrastructure maintained.

Optimized stored procedures, views and functions in SQL server and MYSQL to streamline and querying and reporting.

Collaborated with data analysts and product teams to translate business requirements into technical solutions using PowerBI and Tableau.

Implemented version control and agile workflows using Git and Jira, contributing to cross-functional data projects with tight deadlines.

Ensure data quality and consistency by developing validation scripts and anomaly detection tools using Python.

Applied basic machine learning techniques to support predictive analytics tasks within financial and operational datasets.

Communicating with the development team and proactively raised, clarified and followed upon issues.

Working with internal business groups on process improvement projects designed to improve.

Developing training materials for User Training.

Performing review of documents and ensuring documents meet corporate guidelines in a timely and accurate manner.

Tech Stack: Figma, Jira, Microsoft Office suite, Zoom.

Environment: Windows, MS Office (MS Word, MS Excel, MS PowerPoint, MS Visio), Oracle, SQL Server, Python, Django, Python, Django, FastAPI, Celery, PySpark, SQL Alchemy, ReactJS, HTML5/CSS3,Bootstrap, Tailwind CSS, PostgreSQL, PL/SQL, Snowflake,Databricks.

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Projects in my Graduation:

Project 1: Voice Tone Recognition:

Preprocessed, extracted relevant features from the audio data and implemented supervised ML and deep learning algorithms to predict the type and intensity of emotion from the audio files

.Key Contributions: Achieved an accuracy of 79% for type and 48% for intensity using the Random Forest algorithm

Project 2: Covid19 Analysis and trend Visualization:

Preprocessed, performed data analysis, and extracted useful insights of the real time COVID-19 data around the world.

Created interactive plots using Seaborn and Plotly. Built and deployed machine learning models to predict equipment failures and schedule maintenance.

Streamlined model training and evaluation processes using Vertex AI.

Automated data collection and preprocessing workflows, improving equipment uptime by 15% and reducing maintenance costs by 10%.

Designed and integrated the chatbot using advanced NLP techniques and continuous deployment pipelines.

Ensured scalability and efficiency for real-time interactions.

feedback.

Key Contributions:

I implemented customized prompts for resume evaluation and deployed the application with MLOPs practices.

Created an interactive user interface for professional resume feedback.

Created a wireframe /paper design/ design document to finalize the number of dashboards or graphs, graph type & color code.

Developed storytelling dashboards in Tableau Desktop and published them on Tableau Server, which allowed end users to understand the data on the fly with the use of quick filters for on-demand information. Converted charts into Crosstabs for further underlying data analysis in MS Excel.

Developed and published interactive reports, also scheduled reports using Tableau Server.

Handled Tableau admin activities, granting access, managing extracts, and Installations.

Conducted data profiling and utilized Tableau to analyze large data sets.

Implemented row-level, user-level, group group-level security as per requirements.

Developed and presented reporting models and mock reports to get feedback and approval from business users, installed and administrated Tableau Server

Education:

Bachelor of Business Administration

ICFAI, IBS University Graduated: May 2020

MS in Analytics and Systems

University of Bridgeport Graduated: December 2023

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