Name: Shubham Chandra

Job Role: Senior Data Engineer

Experience: 10+ Years

Skills

Database 95%
PYTHON 100%
Data Analysis 90%
Data Engineering 95%
Data Science 80%

About

About Me

With over 10 years of comprehensive experience in Data Engineering, Data Science, and Data Analytics, I have primarily worked with major financial clients, including Morgan Stanley, Fannie Mae, and Barclays, alongside other global leaders like Corevitas and Walmart. I have a proven track record of leading impactful projects and providing effective mentorship.

Projects

Projects

Below are few sample projects highlighting my expertise in Data Engineering, Data Science, Data Analysis, Databases, Generative Artificial Intelligence, LLMs, SQL, Python, Power BI, Tableau and Machine & Deep Learning.

Incometric – Personalized Financial Advisor

Engineered a Python & Streamlit application, leveraging Google Gemini Pro AI and Hugging Face, to predict personal income with a R score of 0.87 and provide tailored financial advice, boosting user decision making by 80% based on their socio-economic data.

MovieSelect – Personal Entertainment Tonight

Built a Netflix like movie recommendations system with a self-created dataset with over 1 million movies across 42 features, offering tailored recommendations through a combination of multiple criteria, hybrid and customized filters.

Spotify TuneTracker – Streaming Intelligence

Developed a Power BI and Deneb – based intelligence dashboard integrating Spotify API for real-time music streaming insights, crafted and monitored 6 essential KPI’s to analyze trends, enhancing strategic marketing and artist promotion decisions.

Sales Forecast- Time Series Forecasting

Used multiple machine learning models to forecast sales (retail store) and performed time series analysis.

Customer Segmentation in Insurance Sector

Developed a ML model to give various recommendations of financial products & services on target customer groups.

Sales & Customer Analysis Dashboard

Developed an interactive Tableau dashboard to monitor sales and profit metrics, featuring dynamic exploration of 20+ KPIs. This facilitated a 20.4% increase in year-over-year sales and improved decision-making in resource allocation.


12 Achievements
17 Projects
35 collaboration
5000 Cups of coffee

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Available for opportunities wherever needed

Contact Number

+ 1 913 703 5638

Email Address

Shubham Chandra

Download Resume

Resume



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