Business Analyst Process

YASHASWINI REDDY K R

Boston, MA 857-***-**** ******************.*@************.*** linkedin/yashaswinireddy-kr SUMMARY

Business Analyst & Data Strategist with experience in business process analysis, stakeholder communication, and data-driven decision- making. Skilled in Python, SQL, Tableau, and Excel, with a proven record of translating business needs into actionable insights. Adept at documenting requirements, collaborating across IT and operations teams, and aligning analytics to business strategies. Known for analytical thinking, attention to detail, and influencing cross-functional decisions. EDUCATION

Northeastern University Boston, MA

Master of Science in Business Analytics (GPA – 3.8/4) Sep 2024 – Dec 2025 Coursework - Predictive Analytics, Data Visualization, Data Mining & Machine Learning, DBMS, Business Process Mapping, Statistical Inference, Simulation & Forecasting, Agile Business Analysis, Data Governance, Supply Chain, Blockchain AI SKILLS & CERTIFICATIONS

Technical tools : SQL, Python, R, Excel (Pivot Tables, Power Query, VBA), Tableau, Power BI, Alteryx, SPSS, QuickSight Data Platforms : AWS (S3, Redshift), Microsoft Azure, Snowflake, Oracle DBMS, BigQuery, Relational Database Design Process tools : JIRA, Confluence, Miro, Lucidchart, Visio, Agile, Microsoft Office 365, Salesforce, CRM ML Algorithms : Decision Trees, Regression Models, Clustering, Time Series Analysis, Forecasting, PCA Certifications : Google Data Analytics, Microsoft Business Analyst, AWS Cloud Practitioner, Six Sigma, CIMA, IMA, Bloomberg WORK EXPERIENCE

Chantilly Group, India Business Analyst Jun 2023 – Jun 2024

• Analyzed over 15,000 vending machine transactions using Python and Excel (Pivot tables, Xlookups, Vlookups) to identify a decline in sales, found that low performing products lacked competitive features like online payment which were seen in market competitors.

• Developed Power BI dashboards to visualize sales by category and benchmark against competitors, revealing a gap between product features, pricing, and customer expectations.

• Presented findings to stakeholders with actionable recommendations, leading to a product strategy shift across 50+ locations and a 12% improvement in placement accuracy within 8 weeks. Decathlon Sports, India Data Analyst Nov 2021 – May 2023

• Collaborated with the finance team to identify irregularities in refund transactions by analyzing high-volume, multi-channel payment data using Python, Oracle SQL, and AWS Redshift. Engineered anomaly detection pipelines to flag suspicious patterns, which led to a 17% reduction in revenue loss and a 25% improvement in CRM precision.

• Built interactive Tableau dashboards using Alteryx-prepped datasets to visualize operational KPI’s and refund patterns, replacing manual reports and producing weekly business summaries, improving reporting visibility and boosted key business decisions.

• Worked alongside with operations, CRM, and compliance teams to implement Spark-based fraud control checks. Improved data visibility across teams and ensured fraud insights were directly applied to CRM process improvements. Embrace Accessoire, India Founder and Business Strategist Jan 2021 – Jul 2024

• Directed company’s financial planning, applied Python based forecasting models to project sales trends and inventory needs from historical data, enabling informed pricing and sourcing decisions that increased profit margins by 37% and streamlined daily operations.

• Designed and implemented interactive Power BI dashboards to track KPIs including acquisition cost, revenue segmentation, and repeat purchase behavior, enabling faster decision making and streamlined assortment planning across seasonal cycles.

• Queried and segmented customer groups using SQL-based models and combined performance metrics with market insights to target high-value audiences, resulting in a 22% increase in campaign effectiveness. PROJECTS

MBTA Fare Evasion Strategy Python, Power BI

• Evaluated $30M+ in revenue loss using real-world transit system data to identify fare evasion hotspots across high-risk geographic zones and built predictive targeting models with an AI-enabled strategy using video surveillance and potential fare policies.

• Enhanced compliance rates and optimized field resource allocation by aligning data insights with operational deployment planning and presented findings and recommendations to executive stakeholders at MBTA to support strategic implementation. Ledge Brewing Revenue Modeling R, Excel

• Interpreted 49K+ rows of sales, music, and weather data from a seasonal brewery; developed forecasting models using linear regression and decision trees to quantify the financial lift from event type, weather, and timing which enables investment decisions.

• Delivered genre-based dashboards and boxplots to support artist selection and maximize profitability through event scheduling. Used Car Pricing Optimization Python, Excel

• Trained regression, decision tree, and random forest models on 98K+ UK car listings by engineering key features such as fuel type, mileage, and brand. Used Excel Power Query for dataset merging and Pivot Tables for early price segmentation, helping uncover outlier clusters and inform model design.

• Deployed a Streamlit app for real-time pricing simulation, enabling stakeholder transparency and allowing customers to track updated prices within seconds, supporting pricing strategy through interactive input exploration.

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