Machine Learning Business Analyst

Siddharth Holankar

# ********@***.*** H 623-***-**** ï linkedin.com/in/sholankar

Education

Masters of Science in Business Analytics August 2024 – May 2025 Arizona State University; GPA: 4.0/4.0 Tempe, Arizona Relevant Coursework: Machine Learning in Business, Analytical Decision Modeling, AI & Data Analytics Strategy, Quantitative Risk Management, Marketing Analytics, Enterprise Data Analytics Bachelor of Business Administration in International Business June 2019 – April 2022 MIT World Peace University ; GPA: 9.1/10 Pune, India Relevant Coursework:Financial Management, Business Statistics, International Finance, Marketing Management, Operations Management, Business Economics

Experience

Business Analyst January 2025 – Present

DHL Supply Chain (Capstone Project)

• Engineered an end-to-end analytics platform integrating logistics and operations KPIs, aligning warehousing and courier strategies with broader cost-efficiency and delivery performance metrics.

• Partnered with operations and finance leads to align shipment routing models with cost-per-mile analysis, achieving a 12% reduction in last-mile delivery expenses by optimizing the routes.

• Architected machine learning models to optimize courier-warehouse pairings across 500+ daily deliveries, reducing delays by 15% and improving SLA adherence.

• Optimized warehouse and courier allocation using Lean Six Sigma, optimizing routing to improve workflows. Data Analyst December 2022 – July 2024

Morningstar (PitchBook)

• Delivered automated company and funding round insights for 3,500+ startups by building SQL and Python-based scripts, reducing manual research time by 25%.

• Created funding trend dashboards in Power BI across sectors and stages, enabling investment teams at JP Morgan and BlackRock to identify high-growth opportunities faster.

• Researched VC- and PE-backed companies across North America, resulting in 1,000+ verified profiles for PitchBook’s private market intelligence platform.

• Integrated external data with internal company data using Excel Power Query and pandas, streamlining multi-source updates with minimal manual effort.

• Collaborated with cross-functional teams to interpret data and shape investor narratives, impacting high-stakes decisions around IPO readiness and late-stage funding.

Business Analyst December 2021 – November 2022

FUEL (Friends Union for Energizing Lives)

• Developed Power BI and SQL dashboards to analyze student employment trends, helping state governments shape job-focused education policies.

• Built a grant allocation model using Python and Excel that improved funding efficiency by 20% across 4 regional skill development programs.

• Worked with corporate CSR teams from HDFC Bank, Capgemini, Citi, and DBS to customize analytics dashboards — increasing reporting efficiency by 30% and supporting 10+ stakeholders in impact assessment. Projects

Dynamic Freight Pricing Optimization using Reinforcement Learning March 2025 – April 2025

• Designed a Q-learning–based simulation to optimize dynamic freight pricing for a 3PL provider, adapting to real-time variations in demand, fuel prices, distance, and load weight.

• Trained over 50,000+ episodes to outperform static strategies, achieving a 12% uplift in profit margins and 18% improvement in route utilization .

• Built Power BI dashboards to visualize delivery time, margin impact, and fleet capacity across pricing policies. Business Risk Analysis December 2024 – February 2025

• Deployed Monte Carlo–based simulation models to quantify revenue volatility and capital exposure, influencing scenario-based forecasting and contingency planning.

• Identified key risk factors influencing revenue fluctuations, revealing top drivers contributed 70% of total volatility.

• Calculated distributions for financial metrics, enabling a 20% reduction in uncertainty via risk-adjusted strategies.

• Evaluated simulation results to enhance forecasting models, leading to a 15% improvement in revenue projection accuracy. Technical Skills

Programming & Analytics Tools: Python (pandas, NumPy, scikit-learn, matplotlib), SQL, R, Power BI, Tableau, Excel, Jupyter Cloud/Data Tech: AWS (Redshift, S3), ETL, Data Warehousing, APIs, JSON, Git Certifications & Methodologies: Lean Six Sigma (Green Belt), CRISP-DM, Agile Analytics

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