Headline

Data Analyst | Power BI • DAX • Azure SQL | 4+ Yrs Infosys (Walmart, METRO) | MSc Data Analytics | Open to Roles in India & UK

About

4+ years turning enterprise data into decisions across Walmart, METRO, and now sports analytics. I'm a Data Analyst with a strong foundation in BI development, cloud data migration, and machine learning. After building enterprise-scale data systems at Infosys, working on Azure cloud migrations for global retail clients. I pursued an MSc in Data Analytics at Queen's University Belfast (2024) to move closer to the decision-making side of data. During my Master's, I completed a 4-month Data Analyst internship at STATSports (Belfast), where I processed 500K+ row GPS datasets, built a Random Forest classification model achieving high accuracy in athlete performance prediction, and designed ML pipelines from raw sensor data to insight-ready outputs. What I bring to a data team: - Power BI dashboards with DAX, data modelling, and business storytelling - Advanced SQL for data extraction, transformation, and validation - Python (Pandas, NumPy, Scikit-learn) for analysis and ML pipelines - Azure SQL + cloud data migration experience on enterprise scale - Experience working with global stakeholders across India, UK, and the US Post-Master's, I have been deepening my BI and ML skills through independent projects, building Power BI dashboards, practising advanced SQL, and completing R-based text analytics certifications while actively seeking the right role where data genuinely drives decisions. I'm currently open to Data Analyst, BI Analyst, and Data Scientist roles in India (Hyderabad, Pune, Bangalore, Mumbai — on-site/hybrid) and in the UK (with visa sponsorship). Open to connect with data teams, hiring managers, and recruiters.

Location

Nagpur

AI stack

hugging face

langchain

ollama

openai

Work experience

Data Analyst Intern at STATSports, Jun 2024 - Sep 2024 · 4 mos, Newry, Northern Ireland, United Kingdom, • Designed and implemented an end-to-end ML pipeline to detect and classify scrums in rugby matches using GPS and speed sensor data from wearable devices worn by players during live matches. • Applied machine learning models (Random Forest, KNN, XGBoost) — achieving 90% accuracy with Random Forest after hyperparameter tuning and feature selection using scikit-learn. • Cleaned and structured 500K+ row datasets using Python (pandas, NumPy) and SQL, significantly reducing preprocessing time and improving pipeline reliability. • Built a manual data labelling and classification pipeline for 7 matches, aligning device output with video footage to create high-quality labelled training data, improving ML model reliability by ~30%. • Developed performance reports and visual outputs using matplotlib and seaborn to help sports analysts interpret model findings and make faster data-backed decisions. • Collaborated with data engineers and sports analysts to convert raw event streams into structured, analytics-ready formats.

Technology Analyst at Infosys, Apr 2023 - Aug 2023 · 5 mos, India, Migrated legacy Informix databases to Azure SQL for enterprise retail clients, improving query performance and system scalability across large datasets. Conducted structured database analysis and data mapping, ensuring 100% data integrity and zero loss during migration. Mentored junior engineers on database architecture and data quality practices, accelerating onboarding and reducing rework. Liaised with client-side data and engineering teams to align technical deliverables with business data requirements. Awarded the Rising Star Award for exceptional delivery and cross-functional collaboration on a high-visibility global client project.

Senior System Engineer at Infosys, Oct 2021 - Mar 2023 · 1 yr 6 mos, Pune Division, Maharashtra, India, Migrated Windows server applications to Microsoft Azure for Walmart, enabling scalable, reliable data infrastructure for retail and logistics operations. Developed C# and .NET data processing applications and converted .NET DLLs to Java, improving cross-platform compatibility and reducing system dependencies. Restructured and migrated file systems to Azure File Share, ensuring data integrity and seamless accessibility across distributed teams.

System Engineer at Infosys, Sep 2019 - Sep 2021 · 2 yrs 1 mo, Pune/Pimpri-Chinchwad Area, Deployed and maintained applications on SonarQube for METRO's IAM team, enforcing code quality standards and reducing production-level defects. Enhanced email notification workflows within the IAM application, improving system reliability and end-user communication experience. Designed and implemented unit test cases that increased code coverage and reduced post-release bugs across multiple application releases. Performed structured bug analysis and resolution, contributing to improved application stability and uptime for a global retail client.

Internship Trainee at Infosys, Jan 2019 - May 2019 · 5 mos, Mysuru Area, India, Developed front-end modules using Angular 7 and Angular Material on live projects, gaining hands-on experience in agile team workflows. Strengthened core programming skills in Python, SQL, and Java through structured training and project-based assignments.

Education

Master of Science - MS, Data Analytics, Queen's University Belfast

Bachelor of Engineering, Computer Science, Shri ramdeobaba college of engineering and management