Suraj Gupta

Rising Codementor

US$6.00

For every 15 mins

ABOUT ME

Exp. Data scientist |Ex-Deloitte & Ex-EY | 6yo in Python, SQL, Tableau

I am an experience data analyst and data engineer who loves to get challenged by new data problems. A great analytical thinker and ready to take responsibility of the task end to end. I have worked on multiple roles related to data science, analytics & engineering with top class consulting's and has awarded multiple times for the great client service.
I decided to make my career in freelancing & mentoring as I want to take the complete onus of work I do and provide exceptional service to the clients. With this model I feel more incentivised, responsible and independent, resulting in feeling energized & positively motivated to give my 100%.

Technical expertise ->
• 6 years with tools/technologies like Python, SQL, Tableau, Alteryx, Power BI, Knime and Celonis.
• Ability to create complex & scalable Data pipelines, collecting data from multiple sources, performing ETL procedures, analysing the data and creating reports.
• Created easy to understand Data visualizations in Tableau and Power BI on complex problems, I have created more than 100 dashboards in last 5 years.
• Created multiple advance analytical solutions which used different statistical techniques to analyse and compare the data like Price Variance Analysis, Benford Analysis.
• Worked on multiple data science projects and created Machine learning models on real client problems.
• My projects also included web scrapping with Beautiful soup, Selenium and PDF scrapping with the help Tesseract OCR and Python libraries

New Delhi (+05:30)

Joined May 2022

EXPERTISE

5 years experience

5 years experience

5 years experience

5 years experience

5 years experience

5 years experience

KNIME

5 years experience

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PROJECTS

Vendor Evaluation Model

2021

Used ML Algorithms like Decision Tree & Random Forest to classify the vendors from best to worst, which is used while Vendor Evaluation. ...

Used ML Algorithms like Decision Tree & Random Forest to classify the vendors from best to worst, which is used while Vendor Evaluation. Along with it used Kmeans & Kprototype for detecting transactions which are outlier and aggregating the results through PCA.

Python

Automated Threshold Tuning

2021

Used Statistical techniques like K -prototype, ZScore Outlier Detection, Log-Log Transformation, ATL-BTL Technique to automatically predi...

Used Statistical techniques like K -prototype, ZScore Outlier Detection, Log-Log Transformation, ATL-BTL Technique to automatically predict thresholds to identify Suspicious transactions and reporting all such SAR’s with the help of a dashboard.

Python