Ishita Chaubey profile photo 1 on Tal

Ishita Chaubey

Student at Vellore Institute of Technology

Pune District

1+ year of work experience

CodeChef VIT-AP Chapter
Dec 202410 mosSep 2025

EagleBurgmann
May 20252 mosJun 2025

Pune District, Maharashtra, India

Developed a Full-Stack BI Dashboard using React, Flask, MySQL, and REST APIs to visualize industry KPIs with interactive Highcharts and Plotly charts, enabling real-time insights for business users. Performed Exploratory Data Analysis (EDA) using Pandas, NumPy, and Seaborn to identify trends and anomalies in 500K+ records, optimizing MySQL queries to reduce dashboard load time by 35%. Integrated ML-based forecasting models with SHAP explainability to improve transparency and decision-making trust for business stakeholders. Added advanced dashboard features like chart-type toggling, dynamic year-range filters, and CSV/PDF export options for enhanced user experience and reporting. Tech Stack: React, Flask, MySQL, REST APIs, Python (Pandas, NumPy, Seaborn), Highcharts, Plotly, SHAP
NextGen Cloud Club VIT-AP
Sep 20231 yrAug 2024

Amaravati, Andhra Pradesh, India

Ishita’s AI Stack

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Education

Vellore Institute of Technology

Bachelor of Technology, Computer Science

Vellore Institute of Technology

20224 yrs2026
Delhi Public School - Bangalore East

Delhi Public School - Bangalore East

20184 yrs2022

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Headline

Student at Vellore Institute of Technology

About

I am a passionate Full-Stack Developer & Data Science Enthusiast with hands-on experience building AI-powered analytics platforms, interactive BI dashboards, and scalable backend systems. My expertise spans across frontend development, data engineering, machine learning, and cloud deployment, enabling me to deliver end-to-end solutions for data-driven decision-making. In my recent role at EagleBurgmann India Pvt. Ltd., Pune, I built a full-stack BI Dashboard using React, Flask, MySQL, and REST APIs to visualize industry KPIs with interactive Highcharts and Plotly charts. I optimized MySQL queries for 500K+ rows, improving dashboard speed by 35%, integrated ML-based forecasting with SHAP for interpretability, and added advanced features like year-range filters, chart toggling, and export options. My academic projects include: SmartBizIQ – AI-powered business analytics platform integrating forecasting, churn prediction, anomaly detection, recommendation systems, and an NLP chatbot using FastAPI, Node.js, and Google Gemini with interactive React dashboards. Potato Disease Classification – Built a CNN-based model for real-time disease detection, optimized with TensorFlow quantization, deployed via Google Cloud, and integrated into a React Native mobile app. InvestorAnalysis – Designed an AI-powered investment assistant with live portfolio tracking, forecasting models (Prophet, ARIMA, XGBoost), and real-time trading signals using Zerodha Kite API. I enjoy working at the intersection of software engineering and data science, leveraging tools like Python, ReactJS, TensorFlow, Flask, FastAPI, Power BI, and Tableau to build intelligent systems. My certifications in Azure AI, AWS, IBM Data Science, and Full-Stack Development complement my technical expertise. Currently, I am looking for opportunities where I can apply my full-stack development and AI/ML skills to build scalable, impactful, and data-driven solutions.

Location

Pune District

AI stack

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Work experience

Event Management/PR Lead at CodeChef VIT-AP Chapter, Dec 2024 - Sep 2025 · 10 mos

IT-Team Intern at EagleBurgmann, May 2025 - Jun 2025 · 2 mos, Pune District, Maharashtra, India, Developed a Full-Stack BI Dashboard using React, Flask, MySQL, and REST APIs to visualize industry KPIs with interactive Highcharts and Plotly charts, enabling real-time insights for business users. Performed Exploratory Data Analysis (EDA) using Pandas, NumPy, and Seaborn to identify trends and anomalies in 500K+ records, optimizing MySQL queries to reduce dashboard load time by 35%. Integrated ML-based forecasting models with SHAP explainability to improve transparency and decision-making trust for business stakeholders. Added advanced dashboard features like chart-type toggling, dynamic year-range filters, and CSV/PDF export options for enhanced user experience and reporting. Tech Stack: React, Flask, MySQL, REST APIs, Python (Pandas, NumPy, Seaborn), Highcharts, Plotly, SHAP

Co-Lead at NextGen Cloud Club VIT-AP, Sep 2023 - Aug 2024 · 1 yr, Amaravati, Andhra Pradesh, India

Education

Bachelor of Technology, Computer Science, Vellore Institute of Technology

Delhi Public School - Bangalore East