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Hello, I am

Souvik Das

Data Aspirant
Resume
Souvik Das

1

Excel
Project

1

PowerBI
Project

About

Me

Hi, I’m Souvik Das, an aspiring Data Analyst passionate about turning raw data into meaningful insights. I hold a B.E. in Mechanical Engineering from Ramaiah Institute of Technology and have over a year of experience as a Reliability Analyst in the aviation industry.

At Cyient, I worked on Pratt & Whitney Canada projects, automating data checks with Python to cut manual work by 80% and building Power BI dashboards to track key performance trends.

Skilled in Python, SQL, Power BI, and Excel, I love simplifying complex data, uncovering patterns, and designing visuals that tell clear stories. Beyond analytics, I’m fueled by curiosity and creativity — whether it’s crafting dashboards that tell stories or decoding the time-twisting world of Dark.

💡 Data isn’t just numbers — it’s the story behind every business decision.

Key

Skills

Python

Power BI

MySQL

Advanced Excel

My

Projects

AtliQ Hardwares – Sales & Finance Analysis (2019–2021)
AtliQ Hardwares – Sales & Finance Analysis (2019–2021)

Domain/Function: Sales & Finance

Interactive Excel dashboard analyzing AtliQ Hardwares’ sales and financial performance (2019–2021). It highlights country-wise revenue trends, target achievements, and top vs bottom products, helping identify growth opportunities and key business insights across global markets.

Business Insights 360
Business Insights 360

Domain/Function: Consumer Electronics / Hardware Manufacturing

Interactive Power BI dashboard providing a 360° business view of AtliQ Hardwares across Sales, Finance, Marketing, and Supply Chain domains. It visualizes key metrics like Net Sales ($3.74B), Gross Margin (38.08%), and Forecast Accuracy (30.86%) helping identify top-performing regions and products.

My

Experience

💼 Experience

Cyient, Bengaluru – Reliability Analyst
Aug 2024 – Present

  • Managed the Pratt & Whitney Canada Field Event Management process by analyzing field event data to identify trends, root causes, and opportunities for process improvement.

  • Automated data checks between Pratt databases using Python, reducing manual work by 80% and improving data accuracy across multiple systems.

  • Built and maintained interactive Power BI dashboards to visualize open events, monthly trends, and reliability KPIs, enabling better decision-making for technical teams.

  • Collaborated with engineers and data specialists to streamline data validation workflows and enhance the visibility of field performance metrics.

  • Leveraged Excel, SQL, and Power BI for data cleaning, transformation, and performance reporting across global regions.