Business Analytics · Operations · Supply Chain · AI
Building data-driven systemsfor real-world operational decisions.
I'm Garvit Mittal, a Business Analytics & AI graduate student with experience across operations, forecasting, reporting automation, and business analysis. I work at the intersection of analytics and business decision-making, building models, dashboards, and reporting systems that help leaders act with more clarity, speed, and confidence.
My strongest work includes an ML-powered warehouse decision system, forecasting projects, operational analysis, and KPI frameworks built to solve real business problems rather than showcase isolated tools.
Forecast Accuracy Lift
15–20%
Operational Records Analyzed
20,000+
Monthly Close Time Reduced
25%
Warehouse Throughput Model
R² 0.874
Current Focus
Business Analytics, Supply Chain, Operations, BI, and AI-driven decision support
About
How I think
My background in finance and business analysis shapes how I approach data. I do not look at analytics as just modeling or reporting. I look at it as a way to improve cost visibility, forecasting quality, operational efficiency, and business decision outcomes.
Across my work, I have built forecasting models that improved planning accuracy by 15–20%, analyzed 20,000+ operational records to surface cost and supplier insights, and automated reporting workflows that reduced monthly close time by 25%.
I am most interested in roles where data is used to drive better decisions in supply chain, operations, business intelligence, and performance management. My goal is to build systems that help teams move from reactive reporting to structured, forward-looking decision-making.
Education
Expected May 2027
MS in Business Analytics & Artificial Intelligence
The University of Texas at Dallas
GPA: 3.44 / 4.0
Relevant areas: Data Analytics, Advanced Statistics, A/B Testing, Applied Econometrics, and Operations Management.
Completed May 2025
BBA (Hons.) in Finance
Christ University, Bangalore, India
Built a foundation in finance, business reporting, analysis, and performance evaluation that now complements my analytics and AI work.
Certifications
- Data Science & Business Analytics - University of Maryland
- Power BI - Udemy
- Tableau Desktop Specialist
- Economics & Sustainability - Wayland Baptist
Experience
Business Analyst
JityAI
Jan 2025 - Aug 2025
- Performed SKU-level pricing and demand analysis for retail-focused use cases, building forecasting workflows and KPI views that supported inventory allocation and product-mix decisions.
- Developed regression and time-series models on sales velocity, margin, and assortment data, improving forecast accuracy by 15–20% through feature engineering and iterative refinement.
- Translated analytical outputs into structured business reports and decision views for stakeholders, helping standardize reporting workflows around pricing, inventory, and roadmap prioritization.
Operations & Business Analyst
Harsiddhi Foods Pvt. Ltd.
Apr 2025 – Jul 2025
- Analyzed 20,000+ procurement, production, and export records in SQL and Excel to identify supplier pricing gaps, cost variances, and margin pressure points for quarterly business reviews.
- Built a regression-based demand forecasting workflow using 12 months of sales and procurement data, improving inventory planning accuracy by 15% and reducing stockout and overstock risks.
- Presented product-line contribution margin and cost-allocation insights through Power BI dashboards to support supply chain and leadership decision-making.
- Automated vendor payment and accounts receivable reconciliation with Excel Power Query and VBA, reducing monthly close time by 25% and improving reporting consistency.
Accounts & Audit Trainee
Dipankar Gupta & Co.
May 2024 - Jun 2024
- Reviewed and reconciled financial records across multiple client portfolios, strengthening reporting accuracy through standardized validation workflows and audit support.
- Performed compliance checks and data-quality audits on 30+ client document sets, identifying discrepancies and escalating issues for timely review and resolution.
- Built reusable Excel templates with dynamic formulas and PivotTables, cutting recurring report preparation time by 20% and improving standardization across engagements.
Projects
ML-Powered Warehouse Decision System
Flagship Project · Python · SQL · XGBoost · Prophet · SHAP · R
A business-focused decision system designed to improve warehouse operations by turning shipment, disruption, and throughput data into better staffing, flow, and risk-management decisions.
View GitHub ProjectWhy it stands out
- Built an end-to-end workflow across ~53,000 supply chain records covering demand forecasting, disruption risk classification, throughput prediction, and decision support.
- Developed forecasting and predictive models using Prophet, XGBoost, and Gradient Boosting, with throughput prediction reaching R² = 0.874.
- Designed a 5-table MySQL schema, ran 8 analytical SQL queries, and validated insights with 6 statistical tests in R.
- Applied SHAP explainability to identify operational cost drivers, including an estimated $2,286 cost per disruption hour, and translated findings into staffing and flow recommendations.
- Structured the project as a realistic operations decision engine rather than a standalone model, aligning analytics outputs with warehouse manager and leadership decisions.
Revenue Prediction & Customer Segmentation
Predictive Analytics · Regression · Classification
Built predictive workflows for revenue forecasting and customer segmentation to support prioritization, business planning, and performance improvement initiatives.
- Designed regression and classification workflows for forecasting and customer targeting.
- Connected model outputs with business actions instead of stopping at technical metrics.
- Framed the work around growth, profitability, and decision support.
SQL Database Design & KPI Dashboard
SQL · Power BI · DAX · Reporting Automation
Designed a normalized relational database structure and KPI dashboard layer to reduce manual reporting effort and improve stakeholder visibility into performance trends.
- Wrote optimized SQL queries using JOINs, CTEs, and window functions for operational and performance analysis.
- Built KPI dashboards in Power BI with DAX to track multi-period trends and business performance.
- Reduced reliance on manual operational data pulls by structuring reusable reporting logic.
JityAI Analytics Platform Work
Pricing Analytics · Forecasting · Inventory Insights
Worked on analytics use cases involving pricing, demand forecasting, SKU-level performance, and inventory analysis to support better operating decisions.
- Built analysis around sales trends, product mix, and inventory planning.
- Supported pricing and assortment decisions using structured KPI views.
- Connected analytics with practical recommendations for decision-makers.
Skills
Analytics & Decisioning
Data & Programming
BI & Visualization
Business & Operations
Contact
Open to analytics and operations opportunities.
I'm actively building toward roles in business analytics, operations, supply chain, business intelligence, and AI-enabled decision support. If you are hiring for internships, analyst roles, or project-based work, I'd be glad to connect.