Sikander Batcha

About Sikander Batcha

I enjoy solving real-world business problems using advanced analytics and machine learning. I’m passionate about uncovering patterns in large datasets, transforming complex information into actionable insights, and using those insights to guide smarter decisions. With 3+ years of experience across consulting, tech, and operations, I’ve worked on projects ranging from churn prediction and bid success modeling to inventory forecasting and natural language query tools. My work spans industries such as public infrastructure, e-commerce, and enterprise services — consistently improving efficiency, optimizing strategy, or delivering measurable ROI. Currently, I’m pursuing my Master’s in Business Analytics at the University of Minnesota’s Carlson School, where I’ve deepened my skills in predictive modeling, causal inference, and applied AI. I enjoy bridging the gap between technical depth and business value — and I thrive in environments that foster curiosity, continuous learning, and cross-functional collaboration. Technical Specialties: • Programming & Libraries: Python, R, SQL, Pandas, PySpark, Scikit-Learn, TensorFlow, Keras • Data Tools & Platforms: Tableau, BigQuery, Apache Hive, Apache Spark, Databricks, AWS, GCP • Machine Learning Techniques: XGBoost, Random Forest, SVM, Naive Bayes, Neural Networks, Linear & Logistic Regression • Statistical Methods: Experimental Design, ANOVA, Propensity Score Matching, Regression Discontinuity, Synthetic Control • Use Cases: Marketing analytics, Operational efficiency, Forecasting, Customer behavior analysis Key Strengths: • Strong problem-solving mindset • Adaptable and resourceful under pressure • Skilled translating data into business language • Collaborative team player with stakeholder management experience

Experience

1. Data Science Consultant

   Carlson Analytics Lab

   Sep 2024 — Present · Minneapolis, MN, US

   Engineered a dynamic pricing system by modeling win probability with CatBoost and optimizing prices via Bayesian methods, projected to drive $30M+ in profit gains with no impact on conversion rates Led development of an AI-powered tool with GPT-4 and Streamlit, enabling non-technical users to query MySQL databases in natural language and auto-generate visualizations, reducing analyst dependency and saving 50+ hours monthly Devised a weighted evaluation framework and interactive Tableau dashboard to optimize warehouse location selection, identifying a site capable of reaching 3x more suppliers than alternatives Analyzed the impact of a major sports policy using Difference-in-Differences and clustering; engineered a custom metric to classify player types and behavioral shifts, enabling data-driven branding and scouting across four athlete segments

Education

• University of Minnesota - Carlson School of Management

  Master of Science - MS

  2024 — 2025

• BSA Crescent Institute of Science and Technology

  Bachelor of Technology - BTech

  2018 — 2022