Oct 2021 – Oct 2023 · 2 yrs · Gurugram, Haryana, India

• Cashflow Optimization Tool
• Tech Stack - Python, Pandas, NumPy, Pulp , Django , SQL
• Designed the tool to analyze data, retrieve information using SQL queries, and model cash flow scenarios. By employing advanced mathematical models, the tool has the potential to optimize cash flow by up to 35%, enabling businesses to make data-driven decisions and maximize their financial performance.
• The tool's intuitive interface allows businesses to input their financial data and receive actionable insights for cash flow optimization.
• Labour Hour Prediction For Vehicle Servicing
• Tech Stack - MLOps, Azure Databrick, Azure Data Factory,Azure Functions. CI/CD pipelines,Python, SQL, ML.
• Deployed a flexible and hybrid end-to-end MLOP s (CI/CD) Big Data modelling architecture using Azure cloud platform, Spark and DataBricks .
• Created a serverless scalable microservice using Azure functions and reduce the time latency by 5x. Consulted major Japanese Farm equipment manufacturer with machine learning and AI-driven insights and solutions.
• Developed KPIs and a chained gradient-based boosting ensemble model to predict the labor hours required to complete the job.
• Zero Based Saving analysis tool
• Tech Stack- Python, SQL, ML, Django, HTML, PowerBI, Excel.
• Developed a Zero Based Saving analysis tool, which was built on Django Framework. Worked on analysis using Python libraries and looked out for possibilities of including Machine Learning techniques across different Initiatives in the tool.
• Implemented Data Modelling , Clustering and Optimization techniques. Gained the understanding of Energy domain , also used the basics of Frontend tools HTML, CSS and JavaScript.

Apr 2021 – Apr 2021 · 0 mo

• Applied Supervised and Unsupervised Algorithm for Multiclass Classification Problem. Used and Visualized Decision Tree Algorithm in Class Prediction. Made Interactive Dashboards using PowerBI for Data Visualization and EDA.

Mar 2021 – Apr 2021 · 1 mo

• Completed Data Analytics Virtual Experience Program
• Completed Following Task-
• Data Preparation and Customer analytics Using Pandas Numpy and
• Matplotlib Libraries.
• Experimentation and Uplift testing Analytics Using Pearson Correlation followed by commercial application report showing insights gained.

Mar 2021 – Mar 2021 · 0 mo · Virtual

• Virtual Internship at General Electric Under GE Digital Technology Data Analytics Program.
• This program included combining and visualizing data to drive meaningful insights using enterprise-grade technology.
• Here I learned Deep Insights about Data Engineering ,Data Visualization using Excel and Dataiku.

Jul 2020 – Sep 2021 · 1 yr 2 mos · Gurugram, Haryana, India

• -Consulted major Indian Telecom organizations. Developed and integrated the Customer Segmentation model in the CRM using demographic and behavioral stats. -Improved the model performance Significantly by adding polynomial features and a normalization layer. Channelized the BI pipeline for KPI metrics for different stakeholders. -Extensively used SQL for data acquisition & wrangling, Python for data processing and KPI generation, and Power BI for visualization.

May 2019 – Jul 2019 · 2 mos · Bellary, Karnataka

• Completed a project on steel making.
• Involving Kanbara Reactor Process of desulphurization.
• Used Excel for Analysis of time taken in one complete cycle and possible ways to reduce it.

Dec 2018 – Jan 2019 · 1 mo · Vishakhapatnam, Andhra Pradesh, India

• Winter Internship RINL,Vishakapatnam
• Here i worked on the project Based on the working Principles of Blast Furnace Department of Steel Making.