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Mailapalli Sree Harsha

Business Analyst • Milwaukee, WI • m*******************@gmail.com • +14******502 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Business Analyst with 0 years of experience applying Python, SQL, Tableau and Excel to convert raw data into decision-ready insights. Experienced in building interactive analytics dashboards (React, TypeScript) and prototyping ML models to inform investment and product decisions in analytics and research environments. Performed end-to-end data preparation, EDA and model evaluation using Jupyter Notebook, RStudio and Google Colab, and communicated findings to non-technical stakeholders and investors. Delivered business-facing features including a churn analytics dashboard, referral/commission modeling and an AI assistant integration to enable natural-language queries. Comfortable translating stakeholder requirements into technical specifications, designing visual narratives for executive review, and maintaining versioned code and prototypes using Git and Python.

Technical Skills

Programming Language: Python,SQL
Version Control & Development Tools: Git,Jupyter Notebook,RStudio
Data Analysis & Visualization: Data Cleaning,Tableau,Microsoft Excel
Machine Learning & AI: Supervised Learning
AI/ML Frameworks & Libraries: scikit-learn
Project Management & Collaboration: CRM systems
Product Management: Stakeholder Communication

Work Experience

Renaissance Analytics
Milwaukee, WI
AI Developer Intern
July 2026 – Present
Analytics and AI services firm — built dashboards and AI features to surface customer insights and automate decision workflows for business stakeholders.
Tech Stack: React, TypeScript, Python, Claude, MCP, Git
  • Architected and implemented a customer churn analytics dashboard using React and TypeScript with sortable tables and color-coded risk badges to surface at-risk accounts for revenue review.
  • Modeled multi-tier referral and commission structures and transformed engagement KPIs using Python and TypeScript to enable interactive scenario exploration for commercial decisions.
  • Integrated an AI assistant powered by Claude and an MCP tool-calling layer to enable stakeholders to query live metrics in natural language and reduce reliance on static reports.
  • Built a Python-based blockchain prototype implementing hashing, proof-of-work and chain validation to validate an automated transaction and audit concept.
  • Began developing an autonomous AI agent that interacts with the blockchain prototype to automate monitoring and transaction tasks using Python and Claude integrations.
  • Implemented Git-based version control and feature-branch workflows to coordinate intern development and maintain reproducible prototypes.
Black Orchid Research
Milwaukee, WI
Data Analysis & Research Intern
May 2025 – Oct 2025
Research and analytics group supporting venture capital evaluation of early-stage, analytics-driven business ideas and service concepts.
Tech Stack: Python, SQL, scikit-learn, Tableau, Excel, RStudio, Jupyter Notebook
  • Performed data cleaning and transformation with Python and SQL to standardize investor and product datasets for downstream modeling and review.
  • Engineered features and prototyped supervised learning models and neural network prototypes using scikit-learn and Python to surface predictive signals for early-stage investment evaluation.
  • Applied clustering techniques in Python to segment user and market behaviors and produced interpretable segment profiles that informed investment theses.
  • Built Tableau dashboards and Excel models to visualize KPIs and convey investment risks and opportunities to venture partners and non-technical stakeholders.
  • Designed and structured six new analytics service offerings with cross-functional intern teams to align analytic capability with identified market and investment needs.
  • Conducted statistical tests and model validation in RStudio and Jupyter Notebook to ensure prototype reliability prior to stakeholder presentation.
Systemair India Pvt. Ltd.
Hyderabad, India
Sales Engineer
Dec 2022 – Nov 2023
Global HVAC manufacturer — supported sales and project execution by managing customer data, requirements capture, and commercial quotations for HVAC systems.
Tech Stack: CRM systems, Excel
  • Managed customer records and the sales pipeline using CRM systems to track HVAC project status and prioritize follow-ups for commercial opportunities.
  • Gathered and documented client technical requirements through stakeholder interviews to translate needs into HVAC system specifications and scope.
  • Analyzed project specifications and prepared cost and materials estimates in Excel to support solution recommendations and quotation decisions.
  • Coordinated with engineering and procurement teams to confirm BOMs and schedules, ensuring accurate information flow and timely project delivery.
  • Maintained structured records of customer interactions and created follow-up workflows in CRM and Excel to improve project handoffs and accountability.
  • Prepared technical quotations and presented solution proposals to clients, translating technical constraints into clear commercial terms for decision-making.

Education

Concordia University, Wisconsin
Master of Science in Business Analytics • Concordia University, Wisconsin, United States • Jan 2024 – May 2026
Jawaharlal Nehru Technological University
Bachelor of Technology in Mechanical Engineering • India • Jul 2018 – Aug 2022

Certifications

Complete AI, Machine Learning, and Data Science: Zero to Mastery — Zero to Mastery
Complete Python Developer in 2025: Zero to Mastery — Zero to Mastery • 2025
Master Microsoft Excel: Apply, Analyze & Visualize Data — EDUCBA

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