Python,Power Bi,SQL,MS OFFICE,Open AI,Tableau,.net

SRUJAN KUMAR BATCHU

LinkedIn Profile *****************@*****.*** https://github.com/Sbatchu1901 +1-270-***-**** Fremont, CA

EDUCATION

•Master’s in information systems Murray State University, Murray, KY 2023 – 2025 CGPA: 3.33

•B. Tech in Electronics and Communication Engineering CVR College of Engineering, Telangana 2019 – 2023

SKILLS

Python Embedded Systems C Programming SQL Power BI Tableau Data Visualization SSIS Git HTML CSS Flask NumPy Pandas C#.Net Google Analytics Snowflake Seaborn Scikit-learn Azure Cloud

Tensor Flow XGBoost Streamlit Excel MS Office

CERTIFICATIONS

•Harnessing The Power of Data with Power BI -Microsoft Coursera

•Database Programming with SQL - Oracle

•Agile Project Management -Google Coursera

•Microsoft Azure Fundamentals-Coursera

•Google Cloud Engineering Track-GDSC CVR

ACADEMIC PROJECTS

Innovating Career Development with AI-Driven Resume Analysis Python, Streamlit, OpenAI GPT-3.5, NLP, TF-IDF, API Integration May 2025

Built an AI-powered resume analyzer using Streamlit and OpenAI GPT-3.5 to match resumes with job descriptions and generate skill-gap feedback and cover letter suggestions.

Implemented TF-IDF-based similarity, secure API key handling, and deployed via Streamlit Cloud.

Telecom Churn Prediction & Explainability Python, Jupyter, XGBoost, SHAP, Streamlit March 2025

Developed a customer churn prediction model in Jupyter using XGBoost (~76% accuracy) with recall tuning and SMOTE balancing.

Integrated SHAP for interpretability and deployed a real-time Streamlit app with a Power BI dashboard for actionable insights.

Production and Order Processing System Python, Pandas, NumPy Dec 2024

Created a Python-based system for order management and warehouse tracking.

Implemented customer/order modules and warehouse functionalities.

Used Git and Scrum methodology for collaborative development

Global Landslide Incident Analysis (NASA GLC) SQL, SSIS, ERD May 2024

Analyzed 11K+ landslide records from NASA’s Global Landslide Catalog.

Designed relational schema with ERD and resolved data inconsistencies in SSIS. Identified landslide triggers and outcomes to support disaster response planning.

Mood Disorder Detection Using NLP Deep Learning, Python May 2023

Built a deep learning model to detect mood disorders from text using NLP techniques. Enabled early identification and mental health support via language sentiment analysis.

Smart Wheelchair Using Eye-Blink Detection Embedded Systems, Arduino, C Nov 2022

•Designed a hands-free mobility solution using Arduino and Embedded C for quadriplegic users.

•Integrated IR sensors, RF modules, and motor drivers for real-time control via eye-blink signals.

•Ensured power efficiency and scalable potential for IoT-based home integration.

RESEARCH

Behavioral Analytics: Forecasting Digital Habits and Trends Power BI, DAX, Power Query, Python, Machine Learning

April 2025

Designed interactive Power BI dashboards to visualize social media engagement, ad efficiency, and user migration patterns.

Utilized DAX for custom metrics (CTR, CPM, CPC, Ad Saturation Index) and Power Query for data transformation.

Applied Python-based machine learning (K-Means clustering) and developed Detox Readiness Score to detect digital fatigue and segment users. Optimized content strategies using behavioral data insights, enhancing user retention and promoting ethical engagement.

HONORS AND ACCOLADES

•Awarded Gold Medal for securing Top 1 position as Best Major Project in CVR, Final Year 2023 Batch

•Awarded "Best Delegate" at CVR International Model United Nations (IMUN)

•Placed Top 3 in State-Level Elocution Competition by Eenadu

•Elected Membership Development Officer, IEEE CVRCESB, boosting membership engagement, 2022-2023

•Recognized as Events Management Lead, IEEE CVRCESB, for successfully organizing tech-events, 2021-2022

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