Abhiraj Adhikary

📍 Kharagpur, India | 📱 +91 9474190020 | 📧 [email protected]
🔗 LinkedIn | 🔗 GitHub

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SUMMARY

A motivated and versatile Data Science student seeking challenging opportunities to apply my technical skills in Python, data analysis, and web development. Committed to continuous learning and passionate about leveraging technology to solve complex problems, I aim to contribute innovative solutions that drive meaningful impact in the fields of Data Science, Machine Learning, and Software Engineering.

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EXPERIENCE

Data Analyst (Job Simulation)

Forage (Accenture)
September 2024 – October 2024, Remote

• Audited Social Buzz’s big data practices for scalability improvements.
• Cleaned and modeled ≥6.5M+ posts for accurate analysis.
• Identified top content categories with "Animals" scoring highest (70K).
• Analyzed seasonal trends, highlighting January as the peak month.

Power BI Analyst (Job Simulation)

Forage (PwC)
November 2024 – December 2024, Remote

• Developed a Call Center Performance Dashboard in Power BI, monitoring 5 key KPIs such as Average Speed of Answer (ASA) and call abandonment rates.
• Implemented interactive visuals and filters within the Call Center Dashboard, enabling management to track trends and make informed decisions.
• Created a Telecom Customer Churn Dashboard that analyzed customer data to identify patterns and risk factors, contributing to reduction in customer churn rates through targeted retention strategies.
• Designed an HR Telecom Dashboard focusing on gender diversity and workforce analytics by examining 4 KPIs such as executive gender balance and attrition rates, leading to improvements in gender diversity within the organization.
• Conducted root-cause analysis using the HR Dashboard, delivering insights that enhanced HR performance metrics and reduced employee attrition fostering a more stable and diverse workforce.

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PROJECTS

Data Analysis

Blinkit Operations (Data Analysis)

• Analyzed 100K+ total orders with a conversion rate of 0.78, identifying key revenue-driving categories like Fruits & Vegetables and high cancellation categories like Snacks & Munchies.
• Evaluated delivery performance across multiple locations, highlighting areas of improvement such as Salt Lake Sector 1 with a Turnaround Time (TAT) of ≥28+ minutes, and benchmarks exceeded by stores like Jadavpur.
• Processed 414K+ delivery ratings and 403K+ customer feedback entries, identifying critical pain points to enhance customer satisfaction and streamline operations.
• Forecasted weekly demand trends, optimizing inventory management for high-demand categories like Dairy and Breakfast, and providing actionable insights to reduce cancellations and improve TAT.

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EDUCATION

Bachelor of Computer Science Engineering (Data Science)
Haldia Institute Of Technology
2024 – 2028

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SKILLS

Technical Skills: Python, SQL, Go, Git, Power BI, Tableau