About Me

Hello! I'm Akash Bharadwaj, a dedicated Data Engineer and Analyst at Cognizant,With almost 2 years of experience as BI Developer, I am specialize in developing robust data pipelines, optimizing workflows, ensuring data quality to drive impactful decision-making and creating BI Analytics systems. Proficient in Python, SQL and DAX for data manipulation and transformation,

I hold Microsoft certifications as both a Data Analyst and Data Engineer. On the cloud front, I am well-versed in Azure services such as ADF, Synapse Analytics, and ADLS. Additionally, I am a certified Azure Open AI services expert and prompt engineer, skills I actively apply to accelerate my current project.

One of my key achievements has been consolidating scattered data models, applying Role-Level Security (RLS), and developing a KPI dashboard. This effort not only optimized the visualization process but also boosted project revenue.

Download Resume

My Experience

Cognizant

Programmer Analyst

Kolkata, India

Duration: April 2023 - Present

Responsibilities:

Data Modeling & Report Building - Designed and developed data models, and interactive dashboards using PowerBi, and Snowflake.
Workspace & Report Management - Manage security, updates, and schedule refreshes of the Dashboards and Data Models in the Workspace.
Cross-Team Collaboration - Collaborating with the data and platform team to provide actionable insights for optimizing enterprise operations through in-depth data analysis and visualization.

Achievements:

KPI Dashboard & Data Model Optimization - Consolidate scattered data models apply RLS and create a KPI Dashboard, It improves client productivity, and reduces memory and CPU consumption of our warehouse and workspace, hence decreasing infrastructure costs and increasing revenue by 2%.
AI Solutions Delivery - Contributed to delivering an AI-driven support ticketing system that enhanced enterprise efficiency and operational optimization.

My Projects

Global Arms Trade Analytics

Data Mining: Collected huge raw data from websites like SIPRI, Global Firepower Index, World Bank, and Kaggle and stored it in our database in SSMS.
Database Management: Used SSMS for data transformation, creating joins, and views, followed by additional data transformation in Power BI’s Power Query Editor.
Data Modeling: Built a comprehensive data model to visualize insights using Power BI.
Key Analysis:
- Identified the top global military powers by firepower, military spending, and weapon in demand.
- Analyzed global defense import/export trends, top deals, and major defense partnerships.
- Studied the impact of COVID-19 and ongoing wars on the global defense supply chain.

GitHub Repository

Vehicle Automation AI Model

Developed a Decision-Making System for Autonomous Driving: Created a machine learning-based decision-making system for autonomous vehicle control.
Machine Learning Model Training: Trained an ML model using datasets containing various driving scenarios and used the model’s outputs for further training to enhance accuracy in decision-making.
Data Management: Stored the core dataset in Excel and used Pandas DataFrame for data manipulation and management in Python, ensuring efficient handling of the dataset.

GitHub Repository