Business Analyst Machine Learning

Abhiram Sistu

Philadelphia, PA *****

*************@*****.*** 215-***-**** https://www.linkedin.com/in/abhiramsistu EDUCATION

Drexel University, LeBow College of Business Philadelphia, PA Masters of Science in Business Analytics Mar 2025

Loyola Academy India

Bachelor of Commerce in Business Analytics May 2023 SKILLS

Languages and Tools: Python programming, R programming, Advanced Excel, Power BI, Tableau Machine Learning, Deep Learning, LLM’s, Generative AI (Open AI, Llama, Gemini, BERT, Huggingface, Langchain) EXPERIENCE

Hitachi Digital Services (formerly Hitachi Vantara) India Business Analyst Intern July 2022 - Sept 2022

• Cleaned and pre-processed raw data to ensure accuracy and reliability for downstream analysis.

• Performed comprehensive exploratory data analysis using advanced statistical techniques on Python, extracting insights that supported strategic decision-making and identified cost-saving opportunities.

• Analysed customer churn drivers through regression analysis and presented insights via interactive dashboards in Power BI.

PROJECTS

Capstone Project: Customer Segmentation & Telecom Insights (Precisely), Drexel University Sept 2024 - Dec 2024

• Cleaned and analyzed 29,177 residential customer records, segmenting them into clusters using Python.

• Built Tableau dashboard to recommend 5G and fiber-optic network expansions, impacting 60% of the population.

• Developed targeted telecom plans for families, seniors, and tech-savvy customers, offering strategic acquisition and retention insights.

Broadband Recommendation System, Drexel University June 2024 - Aug 2024

• Led a consulting team to explore a client’s potential broadband market expansion, analysing broadband plans using census and FCC data.

• Designed and implemented a SQL database to store demographic data. Applied clustering algorithms to enhance recommendation accuracy on Python.

• Developed and tested a Python-based recommendation system with a synthetic dataset, delivering top 3 plan recommendations and improving customer experience with personalized suggestions. AI-Powered Medical Assistant Development February 2025

• Built a chatbot that provides medical guidance and schedules doctor appointments using LLaMA-3 via LangChain's RAG framework.

• Enabled document retrieval using FAISS and Sentence-BERT (all-MiniLM-L6-v2) over medical data from CDC, WebMD, and Mayo Clinic.

• Integrated Google Calendar API for automated appointment scheduling and Maps API to locate top 3 nearby doctors based on pincode.

• Performed real-time sentiment analysis using Hugging Face Transformers to assess user mood and message urgency.

• Developed an interactive chat interface in Streamlit with LangChain memory for seamless user experience

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