Rakesh Singh
@rakeshsingh
Data professional specializing in Data Engineering and Business Intelligence.
What I'm looking for
I am a data professional with a strong foundation in Data Analytics and Business Intelligence, currently specializing in Data Engineering and scalable architecture. My experience includes developing and automating ETL pipelines, creating interactive dashboards, and implementing governance frameworks that drive value through data integration and automation.
During my tenure as a Data Analyst Engineer at GYL Digital Solution, I successfully developed over 15 ETL pipelines and delivered more than 25 interactive dashboards, significantly reducing manual reporting workloads. I am passionate about leveraging data for actionable business intelligence and have a proven track record of optimizing SQL data models and enhancing data availability through automation.
With a Master’s in Data Analysis for Business Intelligence, I possess expertise in predictive modeling and financial forecasting. I am committed to fostering a collaborative environment and mentoring junior analysts to elevate technical standards and project delivery quality.
Experience
Work history, roles, and key accomplishments
Customer Assistant
Beauty Queens
Oct 2024 - Present (9 months)
Delivered exceptional customer service by understanding individual preferences and ensuring a tailored shopping experience. Provided cross-departmental product support and contributed to effective visual merchandising.
Data Analyst Engineer
GYL Digital Solution Pvt. Limited
Jul 2021 - Present (4 years)
Developed and automated 15+ ETL pipelines using SQL and Azure Data Factory, streamlining data integration for education and hospitality projects. Delivered 25+ interactive dashboards with Power BI, Tableau, and QlikView, empowering 50+ stakeholders with real-time business insights and reducing manual reporting workload by 40%.
Education
Degrees, certifications, and relevant coursework
University of Leicester
MSc in Data Analysis with Business Intelligence, Data Analysis with Business Intelligence
Grade: Merit (69.14%)
Core Modules: Functional Data Analytics (R, Python), Data Mining, Neural Networks, Mathematical Modelling, Generalized Linear Models, Algorithm Design. Dissertation: Time Series Forecasting. Forecasted ADMIRAL and AVIVA stock trends (2019–2024) using LSTM and Prophet models, evaluating pre- and post-COVID-19 impacts. Collected daily closing prices from Yahoo Finance; applied differencing, Min-Max
Bharati Vidyapeeth Deemed University College of Engineering
Bachelor’s in information technology, Information Technology
Grade: 8.55 C.G.P. A (81.22%)
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Location
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