Krish Chaudhary
I'm a passionate
Data Analyst
📊🌟 Data Science Enthusiast & Innovator
🎓 Currently pursuing B.Tech in CSE-AI, diving deep into the world of Data Science.
🚀 Passionate about leveraging cutting-edge technologies to unlock transformative insights from data.
💻 Skilled in Machine Learning, Deep Learning, NLP, and AI, with expertise in Python, SQL, and Power BI.
📊 Proficient in crafting impactful visualizations and predictive models to drive data-informed decisions.
🧠 Strong Knowledge in Natural Language Processing and advanced deep learning techniques for intelligent solutions.
📚 Lifelong learner dedicated to mastering emerging data science tools and techniques.
🔍 Eager to build innovative solutions that harness the power of data for real-world impact.
Areas of Interest
Exploring the frontiers of data, intelligence, and their practical applications.
Developing models that learn from data to make predictions and decisions.
Building and training complex neural networks for advanced AI tasks.
Enabling machines to understand, interpret, and generate human language.
Transforming raw data into actionable insights through analytics and visualization.
Automating the end-to-end process of applying machine learning to real-world problems.
Creating new and original content, from text to images, using advanced AI models.
Managing the lifecycle of machine learning models from development to production.
Leveraging cloud platforms like GCP for scalable and efficient data solutions.
Teaching computers to see and interpret the visual world.
Technical Skills
A versatile toolkit for tackling complex data challenges.
Projects
Hands-on experience in building end-to-end data solutions.
🚀 Smart Attendance Management System combining facial recognition and geo-fencing technologies for secure, efficient, and fraud-proof attendance tracking, ideal for companies and educational institutions.
🔧 Key Features:
🔒 Secure Login & Admin Dashboard: Role-based access for organizations and users with password-protected secure access.
🧠 Facial Recognition: AI-powered identity verification using state-of-the-art facial recognition technology.
📍 Location Tracking (Geo-Fencing): Define authorized zones to ensure accurate location-based check-ins.
🔁 Real-Time Capture & Verification: Instant attendance marking with dual verification (Face + Location).
📊 Attendance Analytics & Reports: Downloadable summaries and visual dashboards for monitoring performance and attendance patterns.
🚀 Smart Order Management System built using Streamlit to streamline order processing, tracking, and analytics for businesses.
🗄️ Integrated with Supabase (PostgreSQL) for secure database management and Cloudinary for e-way bill (PDF/image) storage.
🧾 Key Features:
📋 Order creation, editing, deletion, and status tracking
📎 E-way bill upload, download, and replacement
📊 Advanced analytics: Revenue trends, top products/customers, CLV, retention, RFM segmentation, and sales forecasting
👤 User authentication with admin panel for managing users
📤 Exportable Excel reports for orders and revenue summaries
🧭 Responsive UI with sidebar navigation and expandable order details
🔧 Tech Stack: Streamlit, Python, Supabase, Cloudinary, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
☁️ Deployed on Streamlit Cloud with .env-based configuration for secure keys and credentials.
🧠 Web-based application for recognizing handwritten digits (0–9) using a deep learning model trained on the MNIST dataset.
🎨 Users draw digits on an interactive canvas, and the model predicts the digit with confidence scores and probability distribution.
🧾 Features:
🖌️ Interactive drawing canvas for input
✅ Predict button to classify digits
❌ Clear button to reset the canvas
📈 Displays predicted digit with confidence percentage
📊 Shows probability distribution for digits 0–9
📱 Responsive design for both desktop and mobile
🛠️ Tech Stack:
🧑💻 Frontend: HTML, CSS, JavaScript
🔙 Backend: Flask (Python)
🤖 Deep Learning: TensorFlow/Keras trained on MNIST dataset
🔍 Machine learning-powered web application and API to predict loan approval outcomes based on applicant and loan details.
Designed to assist banks and financial institutions in making faster and more reliable loan eligibility decisions.
🧾 Features (Web App):
🖥️ Intuitive web interface for entering applicant information
🧠 Backend powered by a pretrained ML model for real-time predictions
📊 Visual tools to explore loan trends and insights
☁️ Deployed on Render for easy access and scalability
🔗 Features (RESTful API):
⚙️ Predict loan approval status via a production-ready API
🔣 Handles both categorical and numerical inputs efficiently
🧩 Easily integratable into other applications or services
🛠️ Tech Stack:
🐍 Python, Flask for backend
🤖 Scikit-learn for ML model training and inference
🧪 Pandas, NumPy for data preprocessing
🌐 HTML, CSS, JavaScript for the frontend
🚀 Render for deployment
📊 Data-driven analytics platform for evaluating and visualizing crop production trends across regions in India.
Developed during an internship at iNeuron Intelligence Pvt Ltd to aid agricultural decision-making through insights on productivity, regional performance, and crop trends.
🔍 Key Features:
🧹 Rigorous data cleaning and validation to ensure dataset accuracy
📐 Standardization of units and formatting for time-series analysis
📈 Enriched data with calculated productivity metrics (Production/Area) and crop categorization
🧠 Analysis using Python (Pandas, NumPy) and visual dashboards built in Power BI
🌍 Regional insights through added 'Region' tagging for geographic analysis
🛠️ Tech Stack:
🐍 Python (Pandas, NumPy) for data preprocessing and statistical analysis
📊 Power BI for interactive dashboards
🧾 Deliverables:
📄 Project Report with methodology and key insights
🧠 HLD/LLD documentation outlining system and data flow
🧭 Architecture diagram for visualizing processing pipeline
🎥 Demo video showcasing features and findings
🌟 Key Insights:
💰 Identification of profitable crops (e.g., wheat, maize, soybean)
🌍 Highlighted top-producing states (Uttar Pradesh, Maharashtra, etc.)
📈 Detected production growth trends and productivity disparities
📍 Mapped crop performance regionally to guide resource allocation
🌟 Virtual internship project focused on leveraging social media analytics to generate actionable business insights.
🔍 Project Overview:
Analyze social media data to understand brand sentiment, customer engagement, and trending topics.
Develop dashboards and reports to visualize social buzz.
✨ Key Tasks & Features:
📈 Perform sentiment analysis and trend detection from social media feeds.
🧰 Use data visualization tools to create impactful dashboards.
🛠️ Tech Stack & Skills:
🐍 Python (Pandas, NLTK) for data processing and sentiment analysis
📊 Tableau / Power BI for dashboard creation
📚 Comprehensive program to efficiently manage student records with easy-to-use data handling and CSV integration.
✨ Features:
➕ Add Student Data: Quickly add new students with details like name, ID, age, subjects, marks, and credit points.
✏️ Update Student Data: Modify existing student info to keep records accurate.
🗑️ Delete Student Data: Remove student entries when needed (use cautiously!).
👁️ Display Student Data: View detailed information for individual students or the full list.
💾 Save to CSV: Store all student data in CSV files for persistence and future access.
Experience
My professional journey and accomplishments.
Abhay Engineering
▪ 🚀 Developed OrderEasy Analytics, a Streamlit-based app for MSMEs, automating order creation and delivery tracking with real-time status and payment updates, reducing operational errors by 90%.
▪ 📊 Designed interactive dashboards leveraging RFM analysis, Customer Lifetime Value (CLV), and sales forecasting, boosting customer retention by 20% and revenue by 35%.
▪ ☁️ Implemented cloud-based storage for e-way bills and delivery documents, cutting document retrieval time by 40% and ensuring regulatory compliance.
▪ 📈 Created customizable Excel reports for orders, deliveries, and revenue, filtered by status or date, enabling efficient business planning.
▪ 🔍 Conducted trend analysis to forecast demand and optimize business scalability, enhancing operational workflows.
▪ 💸 Integrated real-time payment tracking with GST calculations, improving financial transparency and reducing payment disputes by 85%.
▪ 📋 Streamlined document management by enabling secure uploads of e-way bills and proofs, enhancing audit readiness by 50%.
▪ 📦 Performed product performance analysis, driving inventory optimization and reducing stockouts by 30%.
▪ 💡 Built customer segmentation models using RFM metrics, enabling targeted marketing strategies that increased engagement by 25%.
▪ 🤝 Collaborated with cross-functional teams to drive data-driven strategies, fostering growth and operational excellence.
INeuron Intelligence Pvt Ltd
▪ 🌾 Led a Crop Production Analysis project analyzing a dataset of over 240,000 rows from 1997–2015, using Python libraries (Pandas, NumPy, Matplotlib, Seaborn) for data preprocessing and visualization.
▪ 🧹 Performed extensive data preprocessing, handling 3,730 null values, removing outliers (e.g., zero production rows), and standardizing crop names (e.g., merging synonyms like Paddy to Rice) to ensure data quality.
▪ 📊 Developed interactive Power BI dashboards to visualize crop production trends across seasons (Kharif, Rabi, Whole Year), states, and zones, enabling stakeholders to identify key agricultural insights.
▪ 🔍 Uncovered critical insights, including coconut’s 92% production dominance, leading to separate dataset analyses for balanced visualization of other crops like Rice, Wheat, and Pulses.
▪ 📈 Contributed to High-Level Design (HLD) and Low-Level Design (LLD) documentation, wireframes, and architecture, enhancing project planning.
▪ 🤝 Strengthened project management and skills, adhering to industry standards and delivering a comprehensive video presentation of findings.
Certifications
Committed to continuous learning and professional development.
Provided by: IIM Mumbai
In collaboration with National Skill Development Corporation (NSDC) and CoE Logistics & Supply Chain Management IIM Mumbai Under the vision of Viksit Bharat @2047 and the mission of PM GatiShakti National Master Plan
▪ Participated in a national-level program focused on applying Generative AI to enhance data-driven decision-making in business and supply chain contexts.
▪ Gained hands-on experience with AI-powered tools and frameworks for business intelligence, predictive analytics, and strategic planning.
▪ Explored the integration of AI in logistics and supply chain management, aligning with the objectives of India’s PM GatiShakti initiative.
▪ Developed a deep understanding of how emerging AI technologies can transform data into actionable insights for efficient and scalable business operations.
▪ Contributed to the broader vision of Viksit Bharat @2047, promoting innovation and digital transformation across critical sectors.
Provided by: Coursera-IBM
Data Analysis Fundamentals: Understanding the data analytics process, data structures, and the roles of data professionals.
Excel: Performing basic to advanced spreadsheet tasks, including data entry, formulas, pivot tables, and data visualization.
Python: Utilizing libraries like Pandas and NumPy for data manipulation and analysis.
SQL: Querying databases to extract and analyze data.
IBM Cognos Analytics: Creating interactive dashboards and visualizations to communicate data insights.
Generative AI Tools: Exploring how AI can enhance data analysis processes.
Provided by: Forage-accenture
▪ Completed a virtual job simulation focused on data analytics and visualization, designed by Accenture through Forage.
▪ Analyzed a large dataset to identify trends, patterns, and key insights relevant to a client’s business performance.
▪ Created a comprehensive dashboard using Microsoft Excel and data visualization tools to present actionable recommendations.
▪ Applied storytelling techniques to effectively communicate data-driven insights to non-technical stakeholders.
▪ Gained experience in handling client-centric analytical challenges, replicating real-world consulting scenarios.
Education
My academic journey and qualifications.
Parul University
Immersed in a dynamic academic environment renowned for its commitment to excellence. My curriculum focuses on practical learning and cutting-edge technology, building a strong foundation in Computer Science with a specialization in Artificial Intelligence. Core subjects include data structures, algorithms, machine learning, deep learning, and advanced AI applications.
Jawahar Navodaya Vidyalaya
Completed my higher secondary education in a vibrant and inclusive residential environment dedicated to nurturing rural talent. The CBSE-affiliated curriculum emphasized holistic development, critical thinking, and experiential learning, supported by modern facilities that prepared me to excel in a competitive world while fostering national integration and social values.
Get In Touch
Have a project in mind, want to collaborate, or just say hi? Drop me a message!