- Master’s Graduate in Business Analytics from the University of Birmingham, with a passion for data analysis and business intelligence.
- Computer Science Engineering graduate from Vellore Institute of Technology, well-versed in programming and technology.
- Technical Skills: Python, R, Scala, SQL – equipped for modern data challenges.
- Experience: Transforming data into actionable insights, from analyzing customer markets to automating employee reporting.
- Goal: Leveraging data to drive innovative business strategies and exploring new horizons in data-driven discovery.
| Core Skills | Languages/Tools | Toolkits | Soft Skills |
|---|---|---|---|
| Data Management | Python (Pandas, NumPy, SciPy, Matplotlib) | IBM SPSS | Communication (English, Hindi, Tamil) |
| Data Analysis | R | Machine Learning Algorithms | Collaboration |
| Machine Learning | Scala | PyTorch | Critical Thinking |
| Data Visualization | SQL | Apache Spark (PySpark) | Problem Solving |
| Business Intelligence | Tableau | MS SQL Server | Analytical Storytelling |
| ERP Systems | Power BI | Qlik Sense | Leadership |
| MS Excel (Pivot Tables, VLOOKUP, Conditional Formatting) | SAP S/4HANA, Saasu |
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Customer Market Analysis (April 2024)
- Developed a Tableau dashboard with 8 visualizations to uncover market trends, identifying previously unnoticed customer segments.
- Analyzed 8,000 transactional rows using R to categorize 3 distinct customer segments, shaping 2 new market strategies.
- Created 5 KPIs in Tableau to pinpoint market opportunities and actionable insights.
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Automated Employee Reporting System (February 2024)
- Increased employee productivity by analyzing performance metrics with SQL queries, identifying top-performing departments.
- Automated reporting using SQL and Excel VBA, reducing reporting time by 20%.
- Cleansed and preprocessed 10,000 rows with Apache Spark (PySpark), reducing data processing time by 25%.
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Sales Performance Analysis (December 2023)
- Analyzed sales performance data for 20,000 employees using Excel, enabling faster trend identification.
- Summarized total sales with 3 Power BI charts, focusing on region, product category, and time.
- Uncovered correlations between 2 complex datasets, visualizing results with SQL and Power BI.
- Al Jamhour Auto Spare Parts, Sharjah, U.A.E (July 2022 - August 2023)
- Led a shop reorganization, enhancing inventory and sales processes, boosting efficiency by 20%.
- Implemented data analytics tools (Tableau, Excel, Power BI) to reduce unsold inventory by 20%.
- Achieved a 20% sales increase and 15% reduction in inventory costs.
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University of Birmingham, UK (September 2023)
- Masters in Business Analytics
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Vellore Institute of Technology, India (July 2018)
- Bachelors in Computer Science Engineering
- Passionate about football and strategic board games.
