About Me
(Last Updated May 2023)
My name is Sandeep Pawar. I am a Data Analytics & Data Science professional, currently working at Hitachi Solutions as Sr Power BI Architect. I use advanced data analytics, data visualization, Statistics, Machine Learning to create solutions, primarily using Microsoft data products & tools.
You can watch my chat with Ben Ferry to learn about me, my work and data :
Few things about me:
- I focus on creating solutions not reports and models
- I enjoy collaborating with others, learn from them and share what I know
- I have a process-focussed view of analytics, i.e analytics can only be successful if it aligns with business processes (new or existing). Hence, you will often find me talk about the business processes that generate the data, decision frameworks to consume the data/reports/models, and data governance.
- I love exploring and learning new technologies. Currently I am learning various frameworks and packages to explore high volume, high dimensional data effectively at scale using Python and how to integrate that with Power BI projects.
I enjoy watching cricket and making espressos & latte art. I can make a heart, tulip & rose. Learning to make a swan :) (If you have a favorite coffee blend or local espresso bar, send me a note). Since you asked, my favorite beans are Epic Espresso by 49th Parallel and favorite cafe is Espresso Cielo in Santa Monica, CA. I am a die-hard Sachin Tendulkar fan.
Volunteering: I volunteer at Elmhurst Art Museum, a local non-profit that showcases artwork of local and international artists and helps educate local community about art. I help them with their data analytics needs to improve community outreach and marketing. I am always looking for volunteering opportunities so feel free to get in touch with me if I can be of any help.
Education:
- Masters in Engineering Management, Business Analytics, Northwestern University, IL
- M.S, Mechanical Engineering, Illinois Institute of Technology, Chicago IL
- B.E, Mechanical Engineering, Pune, India
Certifications:
- Machine Learning Engineer with Microsoft Azure - Udacity Nanodegree
- Microsoft Certified Enterprise Data Analyst (DP-500)
- Microsoft Certified Azure Data Scientist (DP-100)
- Microsoft Certified Data Analyst (PL-300)
- Azure AI Fundamentals Certification (AI-900)
- JMP: Modern Screening Designs (Statistical Design of Experiments)
- JMP: ANOVA and Regression
- JMP: Data Exploration
Some Bragging
- Won Navigant Business Strategy Competition
- Won Microsoft-Udacity Azure Machine Learning Scholarship
- Won 1st Prize for my project on Time Series Forecasting in Azure ML
- Finalist, AECOM Global Business Innovation & Strategy Competition
- 4 Patents: US D750317, US 20150345715, US 20150316249, US 20140268730. Related to thermal design of lighting fixtures
- 2X Employee Recognition Award for using Data Analytics to help create business solutions
Speaking Engagements
- Introduction to Power BI for Educators, January 31st, 2020. Microsoft Technology Event, Chicago
- Propelling Power BI with Python & R (English), May 16th, 2020, Bangalore Power BI Days
- Propelling Power BI with Python & R (Hindi), May 17th, 2020, Bangalore Power BI Days
- Introduction to Classical Time Series Forecasting, Aug 17th, 2020, Udacity Azure ML Group
- Key Influencer Deep Dive, Sept 15th, 2020, Power BI Days Munich
- Deploying Azure ML forecast Model in Power BI, Dec 08th, 2020, Washington DC Power BI User Group
- Forecasting in Power BI, Dec 09th, 2020, Austin,TX Power BI User Group
- Key Influencer Deep Dive, Dec 10th, 2020, Lexington,KY Power BI User Group
- Time Series Forecasting in Power BI, Dec 15th, 2020, Power BI Days Hamburg
- Risk Modeling in Power BI using Monte Carlo Simulation, Dec 22nd, 2020, Dublin Power BI User Group
- Model Interpretability using Azure ML SDK, Jan 16 2021, Global AI Bootcamp Singapore
- Time Series Forecasting in Power BI, Jan 17 2021, Global AI Bootcamp Singapore
- Introduction to Azure ML SDK,Feb 20 2021, Azure Saturday Hamburg
- Enterprise Risk Modeling in Power BI, Feb 27th, 2021, Scottish Summit 2021
- Operationalizing Machine Learning Models With Azure ML & Power BI, Mar 22nd, 2021, Power BI Days
- Enterprise Risk Modeling in Power BI, Apr 21, 2021, Global Power BI Summit 2021
- Power BI Datasets & Dataflow, Apr 21, 2021, Cincinnati Data and AI User Group
- Power Up Power BI with Jupyter Notebook - Use Cases, May 15, 2021, DataWeekender
- Power BI AutoML Deep Dive, May 26, 2021, Portalnd Power BI user Group Portland PBUG
- Power Up Power BI with Jupyter Notebook - Use Cases (Lightning Talk), June 25, 2021, Data Saturdays ANZ 2021
- Power Up Power BI with Jupyter Notebook - Use Cases, Sept 28, 2021, Hampton Roads Power BI User Group
- Excel for Data Science, Oct 06, 2021, AI42
- Power BI for advanced analytics - Part 1, Oct 20, 2021, AI42
- Power BI for advanced analytics - Part 2, Nov 3, 2021, AI42
- Clustering and Segmentation In Power BI, Nov 8-12, 2021, PASS Data Community Summit
- Demystifying Power BI AI Visuals, November 1 2021, Atlanta Power BI User Group
- Power BI Scatterplot Deep Dive, Apr 19, 2022, Minnesota SQL Server UG
- Query Folding in Power BI,May 18 2022, Austin TX Power BI User Group
- Serialization To Optimize Spark Notebooks in Synapse Analytics,July 9th 2022, Data Toboggan Cool Runnings
- Data Insights Summit - Chicago,Sept 13-14 2022 Time Series Forecasting in Power BI, Tabular Editor
- Portland Power BI User Group,Sept 28 2022, Key Influencer Visual Deep Dive
- Delhi Power BI User Group,Oct 26 2022, Introduction to Tabular Editor
- Atlanta Power BI User Group,Nov 07 2022, Data Science for Power BI Developers
- No Code CI/CD Pipeline For Power BI Deployment,Mar 06 2023, Power BI Summit
- Python For Power BI Developers,Apr 20 2023, Persian Power BI User Group
- Jupyter Notebooks For Power BI Developers,May 10 2023, TX Austin Power BI User Group
You can connect with me on LinkedIn and Twitter at:
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