May 2023 – Sep 2025 · 2 yrs 4 mos · Alpharetta, Georgia, United States · On-site

• Business Data Analyst with over 7 years of experience in Business Analytics and 1.5 years in Machine Learning model development, solution design, and business process optimization using data-driven decision-making.
• My expertise spans statistical analysis, ML modeling, ETL workflows, and BI dashboard development to deliver impactful business solutions. Over the years, I have contributed to projects that saved companies $763M+ in operational costs and improved decision-making through advanced analytics and automation.
• 𝐌𝐲 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐬:
• ● Developing ML models (clustering, forecasting, NLP) for cost-saving initiatives
• ● Designing BI dashboards that drive data-informed decisions
• ● Optimizing ETL workflows for large-scale enterprise applications
• ● Collaborating with stakeholders to align technical solutions with business objectives
• 𝐌𝐲 𝐤𝐞𝐲 𝐚𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:
• ✅ Achieved $100M+ in cost savings by developing ML models for procurement optimization.
• ✅ Reduced vendor credit analytics time from 15+ days to 15 hours through automated pipelines, saving $663M in operational efficiencies.
• ✅ Created Power BI dashboards, saving $100K/year and improving supplier credit tracking accuracy by 30%.
• 𝐓𝐞𝐜𝐡 𝐒𝐤𝐢𝐥𝐥𝐬: Python | R | SQL | Tableau | Power BI | Alteryx | Snowflake | ETL | Time Series Forecasting | NLP | Clustering | Data Visualization | Data Modeling
• 𝐒𝐨𝐟𝐭 𝐒𝐤𝐢𝐥𝐥𝐬: Stakeholder Management | Problem Solving | Agile Development | Collaboration | Project Management

Feb 2023 – May 2023 · 3 mos · Austin, Texas, United States · On-site

• Created Tableau dashboard displaying different KPIs for flight operations to help make data-driven decisions.
• Created ETL process workflows, designed & managed data architecture to streamline data processing & analysis, enabling automation of data workflows and informed decision-making using Alteryx and MS SQL.
• Led teams in creating functional and technical specifications, and troubleshoot complex technical issues. Guided clients on technical decision-making and provide thought leadership. Managed project plans, review code and ensure high-quality deliverables.

Sep 2022 – Feb 2023 · 5 mos · Boston, Massachusetts, United States

Jan 2022 – Feb 2023 · 1 yr 1 mo · Boston, Massachusetts, United States

• Administer support to first-year undergraduate students joining Northeastern University.
• Utilized a new platform to create referrals related to Academic Habits, Academic Planning, Health & Well-being, and Career.

Jun 2018 – Jun 2021 · 3 yrs · On-site

• Business Analyst, Logistic based Client (2018 - 2021)
• 1. Applied clustering techniques, such as K-means and Hierarchical Clustering, in Python to identify common traits,
• resulting in a 40% improvement in user experience.
• 2. Worked in Agile software development process for deployment of Change Requests(CR); Effort time estimation.
• 3. Identified key metrics (CTQs and KPIs) that drive the business, ensuring alignment between business objectives, technical
• solutions, and business performance using standardized custom reports in Tableau.
• 4. Conducted Data Modeling and developed E-R diagrams for new requirements using System Architect.
• 5. Led documentation and gathering business requirements and translated them into technical requirements, creating use cases, functional design, user stories, and business processes, ensuring alignment between development and testing
• teams for new product development.
• 6. Organized client demos, training sessions, and provided support & consultation to onsite clients and internal stakeholders, ensuring understanding of new enhancements for each release cycle, delivering 40+ CRs in a year.
• 7. Spearheaded thought leadership initiatives, promoting knowledge sharing and self-service analytics adoption for cross-functional teams.
• 8. Reviewed and provided feedback on testing strategy, test cases, and test plans, ensuring complete coverage and tracking of the testing process and maintaining quality standards.

Sep 2016 – May 2018 · 1 yr 8 mos · On-site

• Senior Analyst, Supply Chain Management
•  Forecasted new car sales with 95% accuracy using machine learning models (ARIMA, Holt-Winters Method, Prophet) in
• Python, along with demand analytics, enabling clients to optimize production strategies.
•  Make a web application to forecast raw material requirements, utilizing HTML, PLSQL, and UNIX scripts, helping factory workers
• maintain optimal inventory levels.
•  Managed data modeling for new requirements and eliminated inconsistencies in databases through SQL queries,
• enhancing data accuracy and improving decision-making capabilities.