8 years of Experience with 3.2 years of experience as a Data Scientist using ML Algorithm.Working experience and extensive knowledge in SQL,Power BI and python with libraries such as Sklearn,Numpy,pandas,Matplotlib.
worked on tools like Jupyter Notebook,Google colab.
Recognized and got appreciated by clients to deliver efficient solutions.
Having Excellent communication and team working experience.
1.Automated Quality Assurance System for Cement Production:(June 2023-Till Date)
This project aims to develop machine learning-based models that can perform quality checks on cement produced in their manufacturing plants. These models will analyze data from the manufacturing process to ensure the cement meets high-quality standards.
Roles and Responsibilites:
1.Actively Involved in daily stand up calls
2.Analyze and filltered data sent by client
3.Optimized and pre processed data before building a regression model.
4.Mapped data using python libraries like numpy,pandas,seaborn
5.Built and trained the model using Random forest,XGBoost,Gradient Boosting as base model and MLP Regressor as Meta model
6.Analyze model prediction accuracy using MAPE with score of 5.4%
2.Title: Optimization in Logistics Industry
(March 2023-Till Date)
This project addresses a significant issue faced by a logistic company—high transportation costs, which are adversely affecting profitability and competitiveness. The project's goal is to identify the root causes of these elevated costs and implement effective solutions to reduce them.
Roles and Responsibilities:
1.Analyze transportation cost data
2.Identify trends and patterns in cost variations.
3.Analyze current delivery routes and processes.
4.Identify opportunities for route optimization.
5.Develop new, more efficient route plans using Linear programming.
6.Collaborate with the transportation team to implement route changes.
7.Monitor and assess the impact of route optimizations.
8.After optimization the transportation cost reduce by 8%
3.Title: TMT Steel Rods Inventory Management(April 2022-June2022)
This project tackles a big problem: a lot of leftover steel rod pieces are not being used efficiently. Instead, they end up being sold as scrap, which causes the company to lose money. The project's main aim is to create a dashboard using business intelligence tools.
Roles and Responsibilities:
1.cleaned data on steel rod offcuts send bu client.
2.Conducted in-depth data analysis using Power BI to uncover utilization patterns and revenue losses.
3.Designed and developed a Power BI dashboard to visualize data insights effectively.
4.Created interactive reports and visualizations to highlight underutilization trends and financial impact.
5.Ensured the dashboard was user-friendly for non-technical stakeholders.
Roles and Responsibilites:
Research in the field of Artificial Intelligence and Mechanical Engineering and to upgrade the skills of students in technical domains.
Roles and Responsibilites:
Teaching and Research in the field of Mechanical Engineering.
Project Research Publish in "International Journal of Innovative Science and Research Technology" in "Efficient Transportation Cost Minimization strategies in Supply Chain Management comprehensive Analysis and Optimization Framework by using solver Methodology and Python Programming".