I help businesses and public sector organisations turn raw data into decisions they can act on. As a Power BI Developer & Data Analyst, I build traffic and performance reporting dashboards for local authority clients — combining Power Query, DAX, and geospatial layers (GeoJSON/WKT, QGIS) to turn survey and sensor data into clear, decision-ready reports. I also run a freelance practice covering custom CRM development (MERN stack , MongoDB, Express, React, Node.js), workflow automation, and data analysis for small and medium businesses. One example: I designed and built an end-to-end automation system where a machine learning model is trained and deployed on the cloud, then connected to a custom CRM to automatically validate and classify incoming data in real time , removing manual data entry and review entirely. I hold an MSc in Data Science (Distinction) and a BSc in Computer Science (Distinction), and I work across the full pipeline: SQL and PostgreSQL/PostGIS for data engineering, Python for automation and machine learning, AWS SageMaker for training and deploying ML models, and Power BI/DAX for connecting model outputs to live reporting dashboards. I also have hands-on experience with computer vision pipelines (object detection and tracking) and cloud GPU infrastructure. Data protection is built into how I work , all data handling follows GDPR principles, including secure storage, access control, and minimising retention of personal data. If you need a Power BI dashboard that actually gets used, a CRM built around how your team really works, a manual process automated end-to-end, or a machine learning model taken from prototype to production and connected to your reporting , I'd like to hear about it.

Rohit p

I help businesses and public sector organisations turn raw data into decisions they can act on. As a Power BI Developer & Data Analyst, I build traffic and performance reporting dashboards for local authority clients — combining Power Query, DAX, and geospatial layers (GeoJSON/WKT, QGIS) to turn survey and sensor data into clear, decision-ready reports. I also run a freelance practice covering custom CRM development (MERN stack , MongoDB, Express, React, Node.js), workflow automation, and data analysis for small and medium businesses. One example: I designed and built an end-to-end automation system where a machine learning model is trained and deployed on the cloud, then connected to a custom CRM to automatically validate and classify incoming data in real time , removing manual data entry and review entirely. I hold an MSc in Data Science (Distinction) and a BSc in Computer Science (Distinction), and I work across the full pipeline: SQL and PostgreSQL/PostGIS for data engineering, Python for automation and machine learning, AWS SageMaker for training and deploying ML models, and Power BI/DAX for connecting model outputs to live reporting dashboards. I also have hands-on experience with computer vision pipelines (object detection and tracking) and cloud GPU infrastructure. Data protection is built into how I work , all data handling follows GDPR principles, including secure storage, access control, and minimising retention of personal data. If you need a Power BI dashboard that actually gets used, a CRM built around how your team really works, a manual process automated end-to-end, or a machine learning model taken from prototype to production and connected to your reporting , I'd like to hear about it.

Available to hire

I help businesses and public sector organisations turn raw data into decisions they can act on. As a Power BI Developer & Data Analyst, I build traffic and performance reporting dashboards for local authority clients — combining Power Query, DAX, and geospatial layers (GeoJSON/WKT, QGIS) to turn survey and sensor data into clear, decision-ready reports.

I also run a freelance practice covering custom CRM development (MERN stack , MongoDB, Express, React, Node.js), workflow automation, and data analysis for small and medium businesses. One example: I designed and built an end-to-end automation system where a machine learning model is trained and deployed on the cloud, then connected to a custom CRM to automatically validate and classify incoming data in real time , removing manual data entry and review entirely.

I hold an MSc in Data Science (Distinction) and a BSc in Computer Science (Distinction), and I work across the full pipeline: SQL and PostgreSQL/PostGIS for data engineering, Python for automation and machine learning, AWS SageMaker for training and deploying ML models, and Power BI/DAX for connecting model outputs to live reporting dashboards. I also have hands-on experience with computer vision pipelines (object detection and tracking) and cloud GPU infrastructure.

Data protection is built into how I work , all data handling follows GDPR principles, including secure storage, access control, and minimising retention of personal data.

If you need a Power BI dashboard that actually gets used, a CRM built around how your team really works, a manual process automated end-to-end, or a machine learning model taken from prototype to production and connected to your reporting , I’d like to hear about it.

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Language

English
Fluent
Tamil
Fluent

Work Experience

Power BI Developer, Data Analyst & ML Developer at Local Authority Client (UK)
September 1, 2023 - Present
Delivered traffic and road performance reporting for UK local authority clients to support council decisions on road safety and infrastructure, following GDPR-compliant handling and retention. Owned and enhanced a suite of Power BI dashboards, DAX measures, and data packs for council officers, committees, and senior leadership, designed for scrutiny by non-technical stakeholders. Wrote T-SQL across SQL Server and PostgreSQL and modeled the warehouse using a Snowflake schema with Bronze/Silver/Gold medallion architecture. Conducted root cause analysis on data quality issues and anomalies to ensure integrity of data feeding public sector policy decisions. Trained and deployed ML models for automated data classification within the reporting pipeline and integrated model outputs into Power BI for live decision-ready reporting. Automated a fully manual Excel reporting workflow using a Python (Flask + Tkinter) tool pulling from the Gold layer and an AWS Lambda pipeline for video-derived imag
Data & Software Intern at Stop the Traffik
January 1, 2023 - May 1, 2023
Built automated data collection pipelines using Python and Selenium, reducing manual data preparation effort by 80%. Set up and managed SQL databases on AWS RDS to ensure reliable data availability for reporting and analysis. Developed a Python/Tkinter tool that enabled non-technical staff to self-serve data preparation tasks.
Data Analyst at AllDayPA
May 1, 2022 - November 1, 2023
Identified and resolved data quality issues between CRM and transactional systems through root cause analysis and validation checks, improving data accuracy by 25%. Built and maintained Power BI dashboards and KPI reporting used by 200+ operational staff, using DAX and a star schema approach grounded in Bronze/Silver/Gold architecture. Balanced scheduled monthly KPI reporting with urgent ad-hoc requests by triaging work based on business impact. Automated month-end reconciliation by replacing a manual workflow and documenting controls to maintain consistency and compliance. Partnered with IT, Operations, and business stakeholders to clarify ambiguous requirements and deliver practical reporting solutions.
Freelance BI Developer & Data Consultant at Independent
January 1, 2022 - Present
Delivered end-to-end Power BI reporting solutions for enterprise and SME clients, from discovery through to a self-sufficient reporting suite. Designed and built an analytics platform from scratch (React, Django API, AWS) with live operational data feeds. Built an end-to-end ML automation system: trained and deployed models on AWS SageMaker, integrated results into a custom CRM (MERN stack: MongoDB, Express, React, Node.js) for automated validation and classification of incoming data, and surfaced outcomes in Power BI to eliminate manual review. Ensured GDPR-aligned data handling including secure storage, access controls, and data minimisation. Served as ongoing technical point of contact for integrations, permissions, and access control. Worked across logistics and transport datasets using a discovery-first approach to understand new domains quickly.

Education

Masters in Computer Science at University of salford
January 20, 2022 - April 21, 2023

Qualifications

AWS
January 18, 2024 - April 12, 2025

Industry Experience

Government, Transportation & Logistics, Professional Services, Software & Internet