Hello!

I'm Shubham Chandra



A Lead Data Engineer

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Name: Shubham Chandra

Job Role: Lead Data Engineer

Experience: 7+ Years

Skills

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

About

About Me

With over 7 years of comprehensive experience in Data Engineering, Data Science, and Data Analytics, I have primarily worked with major Financial, Media clients, including Morgan Stanley, Warner Bros, and Fox. I have a proven track record of leading impactful projects and providing effective mentorship.

  • Profile: Data Engineering, Data Science & Analytics
  • Domain Expertise: Finance, Media, Retail, E-commerce, Marketing, BFSI (Banking, Financial Services, and Insurance), Education, and Healthcare
  • Master's Education: Master's in Data Science, University at Buffalo, SUNY, New York, USA
  • Bachelor's Education: Bachelor's in Computer Science Engineering, Presidency University, Bengaluru, India
  • Languages: English, Hindi
  • BI & Reporting Tools: Power BI, Tableau, SSRS, Amazon QuickSight, Looker
  • Technical Skills: Cloud Computing (Snowflake, AWS, Azure, GCP), PySpark, SQL, Python, Git, JIRA, Data Modeling, CI/CD (GitAction, Terraform, Ansible), Google Analytics, Databricks, Teradata, Oracle
  • Interests: Traveling, Photography, Teaching, Financial Markets
  • Certification:

    Generative AI by Microsoft

    Quantitative Researcher by JP Morgan Chase

    Power BI by PWC

    Analyzing and Visalizing Data with Power BI by Udemy

    Agile Scrum Master by Udemy

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

+ 91 99420 76140

Email Address

Shubham Chandra

Download Resume

Resume



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