Loading...
Hi, I'm Manish Dagdee 👋
Data Science
Hire me
About
I'm Manish Dagdee, a CSE student at LPU with strong DSA skills in C++. I build smart web apps, analyze data using Python, R, Tableau, and Power BI, and hold certifications in Cloud, Data Science, and ML. Passionate about AI-driven innovation.
MD
Work Experience
MSS
Meenakshi Shiksha Samiti (NGO)
Social Worker
CS
Cypher School
DSA Intern
Education
LPU
Lovely Professinal University , Jalandhar, Punjab, India
Btech (Bachelor of technology) / Computer Science & Engineering
2022 - Present
2022 - Present
Skills
C++
Python
C#
R
C
Canva
Solana
MySQL
Microsoft SQL Server
My Projects
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
• Stack vs Queue: The Ultimate Showdown:
Developed an interactive web-based project demonstrating the working of LIFO (Last In, First Out), FIFO (First In, First Out), and Queue data structures using Data Structures and Algorithms (DSA). Implemented core functionalities with optimized algorithms to explain how elements are processed in different structures. Tech: HTML, CSS, JavaScript, DSA (Stack & Queue Algorithms)
Railway Ticket Booking Website
• Developed a mobile-responsive railway booking website, improving booking efficiency by 30% with streamlined • workflows and seamless cross-platform compatibility (100% responsiveness). • Designed a minimalistic, responsive user interface with clear navigation and interactive elements, achieving cross-platform • compatibility with 100% responsiveness across mobile, tablet, and desktop. • Optimized booking workflows, reducing transaction times by 30% and enhancing user retention.
Dynamic Excell dashboard for B2C sales (Excell)
- Created an interactive Excel dashboard that increased decision-making efficiency by 25% through visual. - Pivot Tables: Gained proficiency in organizing and summarizing large datasets efficiently. - Advanced Formulas: Complex Calculations Leveraged advanced Excel functions(e.g., VLOOKUP, INDEX- MATCH, IF statements) to perform complex calculations for revenue, profit margins, and average order values. - Interactivity: Implemented slicers and dropdown menus to allow users to filter data interactively based on specific criteria such as date ranges, product categories, and customer segment
HR Analytics Dashboard (Microsoft Excel)
Designed an interactive HR analytics dashboard in Excel to track key workforce metrics like attrition rate, active employees, and job satisfaction across departments. Increased HR decision-making efficiency by 30% through visual insights on employee demographics, attrition trends, and job role distribution. Pivot Tables: Utilized to organize and analyze large HR datasets for efficient trend identification. Advanced Formulas: Applied Excel functions (e.g., VLOOKUP, INDEX-MATCH, conditional formatting) to calculate attrition by age, job role, and education level. Interactivity: Integrated slicers and filters enabling dynamic data exploration by gender, department, and marital status.
Coding Profiles
My Certifications
I like to Learn New Skills
Throughout my professional journey, certifications have been eye-opening. Each certification has deepened my knowledge and skills, allowing me to contribute effectively in various projects and environments.
- Successfully completed a foundational course in Supervised Machine Learning, taught by renowned AI expert Andrew Ng, focusing on the core principles of regression and classification algorithms. Key Learnings & Highlights: Machine Learning Fundamentals: Gained a solid understanding of supervised learning techniques, including linear regression, logistic regression, and generalized linear models. Model Training & Evaluation: Learned to train, validate, and optimize ML models using key performance metrics like accuracy, precision, recall, and cost functions. Feature Engineering & Regularization: Applied techniques such as feature scaling, normalization, and regularization (L1/L2) to improve model performance and prevent overfitting. Gradient Descent Optimization: Implemented optimization algorithms from scratch to minimize loss functions and achieve accurate predictions. Real-World Applications: Built and deployed practical machine learning models for tasks like housing price prediction and binary classification. This certification strengthened my understanding of core ML algorithms
Supervised Machine Learning: Regression and Classification- Coursera
- Successfully completed a hands-on course in Data Analysis with Tableau, authorized by Tableau Learning Partner and delivered via Coursera. This course equipped me with the knowledge and practical skills to transform raw data into insightful visualizations for effective business decision-making. Key Learnings & Highlights: Dashboard Creation: Built interactive dashboards to visualize trends, performance metrics, and KPIs using real-world datasets. Data Connections: Learned to connect, blend, and clean data from multiple sources within Tableau. Visual Best Practices: Applied design principles for creating clear, informative, and visually appealing charts and graphs. Calculated Fields & Filters: Used formulas, sets, and filters to perform advanced data analysis and derive meaningful insights. Storytelling with Data: Developed data-driven stories to present analytical results effectively to both technical and non-technical audiences.
DATA ANALYSIS WITH TABLEAU - Coursera
- uly – November 2024 Successfully completed an in-depth certification program in Cloud Computing offered by NPTEL, gaining a strong theoretical and practical understanding of modern cloud technologies and services. Key Learnings & Highlights: Cloud Architecture & Models: Studied public, private, and hybrid cloud models, along with essential service models like IaaS, PaaS, and SaaS. Virtualization Techniques: Understood how virtualization enables cloud scalability and resource efficiency, including hypervisors and VM provisioning. Cloud Deployment: Explored cloud deployment and migration strategies used in enterprise environments. Security & Compliance: Gained insights into cloud security frameworks, risk management, data privacy, and compliance measures. Real-world Use Cases: Analyzed practical applications of cloud computing in industries like healthcare, education, and e-commerce.
Certified in Cloud Computing - NPTEL
- Completed a comprehensive specialization in C++ programming, designed for both beginners and aspiring developers. This hands-on course series provided a deep dive into the core principles of C++ programming, with practical exposure to fundamental and advanced concepts. Key Learnings & Highlights: Core Programming Concepts: Mastered essential topics such as loops, conditionals, and data types through real-time coding challenges. Data Structures in C++: Developed strong command over vectors, pointers, strings, and file handling in C++. Functions & Recursion: Gained practical knowledge in writing modular code using functions and solving problems using recursive techniques. Object-Oriented Programming (OOP): Implemented OOP principles like inheritance, encapsulation, and polymorphism to design efficient and maintainable code. Problem-Solving Approach: Applied learned concepts in mini-projects and exercises, improving logic-building and debugging skills.
Programming In C++: A Hands-On Introduction Specialization- Coursera
Contact
Get in Touch
Feel free to reach out through any of the following platforms or contact methods.
9772938299