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Data Engineer with 1+ years in Data Analytics & BI
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Assessing your cultural and operational fit
Data Science Master's graduate with professional experience in data analytics, business intelligence and ETL pipeline development through client facing roles in Infosys. Skilled in SQL, Python and Machine Learning, with proven experience building automated reporting solutions, scalable data workflows and KPI dashboards. Proficient in data extraction, transformation, exploratory data analysis, and data visualization using Power BI and Tableau. Combines technical expertise with strong stakeholder communication to translate complex datasets into actionable business insights. Seeking opportunities in data analytics, BI, or data engineering where problem solving creates a measurable impact.
Middlesex University London
Masters in Data Science · Data Science
N/A – June 1, 2024
Aarupadai Veedu Institute of Technology
Bachelor of Engineering · Computer Science
N/A – May 1, 2020
Infosys Ltd.
Associate Data Engineer
July 1, 2021 – September 1, 2022
India
Division of data for secure data storage
June 19, 2026 – Present
An algorithm which fragments and encrypts data before uploading for data integrity and safety.
Sentiment Analysis API for Malayalam language
June 19, 2026 – Present
An open source sentiment analysis Api that detects the sentiment of Malayalam texts in terms of polarity.
Football Data Warehouse Design
January 1, 2025 – December 31, 2025
Designed a star schema data warehouse integrating match, player, and team datasets to enable scalable and efficient analytical querying. Developed automated ETL pipelines in Python to clean, transform, and load over 100,000 records into fact and dimension tables. Implemented Slowly Changing Dimension (Type 2) logic and indexing strategies to support historical tracking and optimized reporting performance. Created analytical views with calculated metrics such as win ratios and goal differentials for seamless integration with business intelligence tools.
Team Tactical Evolution Analysis
January 1, 2025 – December 31, 2026
Processed team attribute data across eight seasons to derive tactical KPIs such as pressing intensity, passing speed, and attacking width. Applied dimensionality reduction (PCA) and clustering techniques (K-Means) to group teams based on evolving playstyles, with cluster quality evaluated using silhouette scores. Created radar charts and time-series trend plots using Seaborn to visualize strategic changes over time. Identified key tactical shifts across leagues, uncovering patterns in build-up play and formation styles that contributed to competitive performance.
Match Outcome Predictor
January 1, 2024 – December 31, 2024
Designed and implemented an end-to-end ETL pipeline in Python to integrate and preprocess match, player, and team datasets for predictive modelling. Engineered match-level features by aggregating player ratings and tactical metrics, with robust validation through data integrity checks. Trained and evaluated classification models including Logistic Regression and Random Forest, achieving 74% accuracy and 0.78 AUC on test data. Visualized model outputs using SHAP value plots, confusion matrices, and ROC curves to enhance interpretability and support actionable insights.
Telecom Client | Infosys
January 1, 2021 – December 31, 2022
Processed large scale telecom data to generate analytics ready tables supporting KPI reporting and operational insights and designed dashboards to track claims and audit metrics. Automated multi-source data updates using Power Query, reducing report lag and manual processing effort. Enabled data-driven decision-making by highlighting emerging risks, trend shifts, and gaps in compliance coverage. Developed SQL-driven exception logic to detect missing, inconsistent, or outlier values in operational datasets Embedded live quality indicators into Power BI reports to reduce reliance on manual QA.
Cultural Fit Analysis
The candidate's project portfolio shows a good mix of professional and personal projects, indicating initiative and a passion for data engineering and analytics. The academic projects, while less detailed, show a breadth of interest. The experience at Infosys, a large consulting firm, suggests an ability to work in client-facing roles and adapt to diverse project requirements. The target role of Data Engineer aligns well with the candidate's demonstrated skills in ETL, data warehousing, and cloud data services.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through stakeholder engagement in their professional role, translating complex datasets into actionable business insights. Their project descriptions indicate an ability to work on end-to-end solutions and collaborate in agile teams. The focus on problem-solving and delivering measurable impact aligns well with operational needs.