About Me
I am skilled in using data analysis techniques to improve decision-making and efficiency. With experience in data analytics, machine learning, and data visualization, I use modern tools to provide useful insights. My teamwork and problem-solving approach helps improve collaboration and adds value in different areas.
| Degree: BTech
| Mail: newnaveendhawan
Interests & Hobbies:
Workout
Education
NATIONAL INSTITUTE OF TECHNOLOGY, WARANGAL
Relevent Courses: Neural Networks, Probability and Statistics, Data Science and Machine Learning from Intrutiv.ai, SQL, Data Visualization with PowerBI, and Machine Learning
Krishna Vidhya Mandir, Sikar
Projects
CUSTOMER RETENTION AND ACQUISITION ANALYSIS OF A LOGISTIC COMPANY
Created Power BI dashboards to track orders, registrations, and customer behaviors, enabling real-time insights for performance monitoring
Analyzed data for targeted cities to enhance customer segmentation, leading to improved marketing strategies.
Optimized inventory, campaign effectiveness, and predictive analytics, supporting better promotional ROI, stock management, and customer retention strategies.
AUTOMATED STOCK TREND ANALYSIS USING FYERS API
Integrated Fyers API to retrieve stock data for any listed stock, enabling customized analyses.
Developed code to identify stock uptrends by percentage after accumulation over various timeframes, supporting swing trading strategies.
70% of the time, accumulation on daily time frame leads to advancing (38 out of 54 times)
Complete document with all findings is here
HOUSE PRICE PREDICTION MODEL
Analyzed 13,320 property records to develop a predictive model for house prices.
Train and evaluate regression models (Linear, Lasso, Ridge) for house price prediction.
The deployed model provides estimates property price, aiding investment planning and real estate decisions.
Complete document with all findings is here
Use House Pricing Model from here
Other Useful Projects
Developed a dashboard to analyze sales performance, uncover trends, and provide insights for data-driven decision-making. It tracks key metrics such as total sales and performance, enabling better strategic planning.
Developed a Power BI dashboard for HR analytics to track employee performance, attrition, and recruitment trends, automating data analysis, enabling strategic workforce planning.
Segmented customers using KMeans clustering to group customers based on their annual income and spending scores, enabling targeted marketing strategies and personalized customer engagement.
Skills
- Attention to Detail
- Problem-Solving
RESPONSIBILITY & Certifications
RESPONSIBILITY
- Volunteer and Management in SpringSpree in 2022
- Sub core: SpringSpree’23 in Design Team in 2023
- Member of Material and Metallurgical Engineering Association in Design Team (2022)
- Member of the student council from 2022 to 2024 (team leader)
Certifications
- Completed a free online course in Data Science Foundations provided by Great Learning Academy (July 2022).
- Completed the course 'Supervised Machine Learning: Regression and Classification' offered by DeepLearning.AI and Stanford Online through Coursera (Nov 2023).
- Completed 'Learning Python' course on LinkedIn Learning, acquiring foundational skills in Python programming and core concepts (July 2022).
Contact ME
I am always open to connecting with professionals and organizations for potential career opportunities. You can reach out to me through the platforms listed below for inquiries, collaborations, or any questions you may have.