Excel
Project
PowerBI
Project
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.
Skills
Python
Power BI
MySQL
Advanced Excel
Projects
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.
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.
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.