Rushikesh Kurhade

RUSHIKESH KURHADE-- Bangalore, Karnataka r12k01 Portfolio EDUCATION Bachelor in Information Technology, 10/2020 – 05/2024 | Jabalpur Jabalpur Engineering College, CGPA : 7.85 CourseWork : Machine learning, Database Management System, Data Mining, Computer Network, Software Engineering, Cloud Computing, Operating System. PROFESSIONAL EXPERIENCE Data Analyst, SriSriTattva 12/2024 – present | Bangalore Tech : Python, SQL, Airflow, Google Sheets, SuperSet, N8N, AWS. Extracted and analyzed large datasets using SQL, Python, and Excel, optimizing business processes. Designed and maintained automated dashboards using Superset, Tableau to track key performance metrics. Collaborated with operations and supply chain teams to analyze inventory, sales, and logistics data, improving efficiency. Conducted statistical analysis and forecasting using Python providing insights for strategic decisionmaking. • • • • PROJECTS Banking Data Analysis, Python, Colab, Plotly, Pandas, Numpy Banking Client Analysis & Insights: Analyzed a dataset of 41,188 clients, identifying that only 11.3% subscribed to term deposits, with 61% being married, influencing marketing strategies. Statistical Analysis & Visualization: Used Pandas, NumPy, and Plotly to compute insights like average call duration (9m 13s) for successful clients and visualized trends using box plots and bar charts. Optimized Customer Engagement Strategies: Discovered that long calls (>3 min) were ineffective for younger clients, helping refine customer interaction and marketing approaches. • • • Website Content Summarizer, Python(Django), Gemini, Selenium, NLP Developed a web application capable of summarizing content from 100 websites daily, utilizing Selenium for dynamic content extraction and bs4 for HTML parsing. Integrated AI (Gemini model) to generate detailed summaries, improving content readability by 90%. Optimized UI for seamless display of summaries, reducing user interaction time by 80%. • • • AI-Powered Virtual Doctor, Python, Gradio, WhisperAI, Llama-vision Built an AI-powered virtual doctor using Llama-vision, Gradio, gTTS, and WhisperAI, enabling image analysis and patient interaction. Developed a Gradio-based interface for uploading medical images and receiving real-time text/voice responses. Integrated speech-to-text and text-to-speech for seamless voice communication with patients. • • • AI-Powered Plant Disease Detection Plant Disease Detection App: Developed a Streamlit-based web app for real-time plant disease prediction, integrating an ML model trained on 40K+ images. Deep Learning Model Deployment: Trained a CNN model for image classification, achieving high accuracy in detecting plant diseases and deployed it using Streamlit. User-Friendly & Scalable Solution: Designed an interactive UI allowing users to upload plant images for disease diagnosis, enhancing accessibility for farmers and agricultural experts. • • • SKILLS Languages: Python (Django), SQL, HTML, CSS | Libraries: NumPy, Matplotlib, Plotly, Keras, Tensorflow, Pandas, SciKit-Learn, HuggingFace, Selenium, Langchain, Streamlit | Tools: Excel, Tableau, PowerBI, Google Sheets, LLMs, Github, Linux, Windows, PostgreSql, MySQL, Git, Airflow | Other: A/B testing CERTIFICATES Python for Data Science — IIT Madras NPTEL | Introduction to Data Science with R — GUVI