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Hi, I'm Tryambakam Dev Sharma 👋
Data Scientist
Hire me
About
I'm a detail-driven Data Scientist with a passion for extracting meaning from numbers and building models that matter. I specialize in analytics, machine learning, and storytelling through data. Let's connect and solve something impactful together!
TDS
Work Experience
C
CipherSchools
Summer Training - Python, Data Science & Machine Learning
Education
LPU
Lovely Professional University , Jalandhar, Punjab
Btech (Bachelor of technology) / Computer Science & Engineering
2022 - Present
2022 - Present
Skills
Python
C++
C
Canva
MySQL
Microsoft SQL Server
Figma
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.
Data Analysis for Coffee Chain Website:
• Analysed key metrics such as sales trends, product, customer preferences, and geographic distribution, stakeholders can gain insights to optimize inventory management and refine marketing strategies • Analysis supports budget planning by ensuring efficient resource allocation, helping maximize profitability and meet customer demands across different locations • A dataset related to a
Finance Tracker App Design
Designed a user-friendly finance tracker app to help individuals manage their income, expenses, and savings effectively. The app features intuitive navigation, real-time budget tracking, categorized expense insights, and visual analytics to support better financial decision-making."
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 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
- 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 course on Coursera that teaches you how to write and debug R code, work with data structures, and perform basic data analysis. It’s designed for beginners and covers essential programming concepts, helping you build a strong foundation for using R in data science.
R Programming- Coursera
Contact
Get in Touch
Feel free to reach out through any of the following platforms or contact methods.