Shivam Panchal

I worked across various domains such as Banking, Finance, Healthcare and Telecom, working with various Start-ups and Individual Clients. The following were my roles and responsibilies.

• Involved in gathering requirements while uncovering and defining multiple dimensions of the Project.
• Extracting data from one or more sources for analysis.
• Working closely with cross functional teams to encourage statistical best practices with respect to experimental design and data analysis.
• Accomplished multiple tasks from collecting data to organizing data and helping in data-driven decision making.
• Implementing Machine Learning and Deep Learning algorithms for supervised and unsupervised learning.
• Build Machine learning and Deep Learning pipelines with end-to-end ETL processes with SQL/NoSQL databases.
• Provide consulting and advise clients on Advance Machine Learning and Deep learning solution implementation.

I also provided long term Data Analytics Consultancy to firms like

Client - S1 Bit

• Building a Stock Trading Platform
• Stock Market Analysis and Stock Forecasting
• Machine Learning and Deep Learning Based Hybrid Forecasting Models

Client - Hour One Media LLC

• Social Media and Customer Sentiment Survey Tool
• Brand Comparison and Brand Analysis

Client - PAM's Auto

• Price Prediction Model and Forecast
• Machine Learning, Deep Learning and Statistical Analysis

Client - The Pittman Group

• Data Visualizations and Analytics
• Reporting And Dashboarding, Automatic Report Generation
• Tableau

Client - Sancoj

• Worked on world’s first opportunity supermarket built on the Ethereum Blockchain and powered by Artificial Intelligence.
• ETL, Natural Language Processing, Deep Learning

• Deep Learning based Forecasting Models, Churn Prediction
• Chat bots and Natural Language Processing
• Integration of a Data Visualization and Reporting with Process Work Flow.

• Stock Analysis and Time Series Analysis
• Building Hybrid Machine Learning and Deep Learning based forecasting model
• Integration of a Data Visualization and Reporting with Process Work Flow.

Worked on world’s first opportunity supermarket built on the Ethereum Blockchain and powered by Artificial Intelligence using transfer Learning and Natural language Processing.

• Data Insights and Reporting over multiple sources of data using Postgre SQL and Report Server.
• Daily Scripts / APIs / Services for reporting mails and alerts for all Google ODK for AUSFB - Insurance Data.
• Data Visualizations for Data Analytics across all verticals using Tableau
• Order flow management to reduce process flow time between various components of Data pipeline.
• Learning Module Development for Deep Learning (Keras+Tensorflow)

As an intern Data Analyst in SIBIA, I worked with data to extract insight, meaning and models, using a battery of statistical and machine learning techniques. My role was to provide machine learning support and data warehousing and summarizing, to help inform and validate.