Data Scientist

Technical Skills

• Programming languages: Python
• Libraries and Frameworks: Numpy, Pandas, Scikit-​learn, darts,
• Visualisation tools:Qlik Sense, Power BI
• Machine learning: Algorithms, Hypotheses ​testing, K-​means ​clustering, Linear ​regression, Logistic ​regression, Statistics, Time series forecasting
• Cloud: AWS Sagemaker, Azure databricks
• Databases: SQL

Education

• B.Tech, Civil Engineering 72 %

  Kurukshetra University, Kurukshetra 2018

• M.tech, Environmental Engineering 8.4 CGPA

  Indian Institue of Technology, Kharagpur 2022

Work Experience

Accenture (Aug 2022 - Present)

Microsoft Cloud Supply Capacity and Management

Worked with an in-house tool for forecasting cloud demand across multiple regions and resource types over different time horizons.

Developed a POC for high-speed cable demand forecasting using Python and Databricks, implementing time series forecasting with lagged and growth features, and leveraging the Temporal Fusion Transformer (TFT) model.

Automated multiple iterations with different feature sets to achieve the desired forecasting accuracy.

Engaged with stakeholders to align business expectations, refine solutions, and ensure proper use-case understanding for continuous improvement.

NOV Supply Chain Management

Leveraged analytical skills to develop business insights through predictive statistical modeling focused on spare parts management.

Segmented items based on business-defined approaches and identified the best-fit forecasting model.

Identified quick-win use cases for circular movement within the network to optimize logistics and reduce transportation costs.

Utilized Python and SQL to extract and preprocess data from Snowflake, streamlining processes from data extraction to demand forecasting, segmentation, and inventory optimization.

Holcim Logistics

Acted as a subject matter expert in Qlik Sense and other Qlik products.

Designed ETL pipelines to gather, process, and visualize data in dashboards.

Established connections between diverse data sources using Qlik connectors.

Integrated different environments using Qlik APIs and Python, automating data pipelines and streamlining workflows for efficient analytics.

Implemented automated data and application backup solutions into AWS S3 from Qlik Sense, ensuring robust disaster recovery protocols.

About

Data Scientist with 3 years of experience specializing in harnessing data-driven methodologies to fuel business growth and enhance operational efficiency. My expertise encompasses a wide range of advanced analytical practices, including Descriptive Analysis, Root Cause Analysis, Predictive Analysis, Time series forecasting. Continuously learning to stay ahead of the latest trends in data science.
My experience also includes applying analytics and machine learning algorithms for customer churn, as well as conducting hypothesis testing and A/B testing etc. to focus on revamping marketing campaigns and used insights to help businesses overcome challenges.

Contact Information

• Mobile: +91 8950161660
• Email: goyalm685@gmail.com
• Github: Manu Goyal
• LinkedIn: https://www.linkedin.com/in/manu-goyal007/

Feel free to reach out for collaborations or inquiries!