Debargha Chatterjee

Data Analyst with over 1.5 years of experience & proficiency in Python, R, Machine Learning, SQL, Tableau, Power BI, & Microsoft Office Suite, seeking to leverage analytical skills and technical expertise. Adept at translating complex data into actionable insights to drive informed decision-making and business strategies.

Data Analyst at Eastern Organic Fertilizer Pvt. Ltd. (LYNQ Group) (2025-04 – Present)

• Built an End-to-end Automated Dashboard Generation System using Python (Pandas, Matplotlib, & Gradio) significantly reducing manual workload and enabling faster, on-demand access to key operational metrics across business units.
• Contributing to structuring and analyzing large-scale site wise operational datasets used for billing, improving data accuracy to support revenue generation, enhance site performance, and drive operational decision-making.
• Playing a key role in 5+ Government Tendering Initiatives, collaborating & liaising with Senior Government Officials and cross-functional teams to prepare compliance documentation, driving successful bid submissions and expanding business opportunities in 4+ states in India.

Data Analyst Intern at Eastern Organic Fertilizer Pvt. Ltd. (LYNQ Group) (2025-02 – 2025-03)

• Developed dashboards from site wise processing data using Python, MS Excel & Power BI to monitor operational metrics and support performance reviews.
• Cleaned and structured workforce attendance and productivity data for 500+ employees, improving accuracy and streamlining HR reporting processes.

Data Scientist Intern at AgenixAI (2025-01 – 2025-04)

• Conducted large-scale data scraping from 25,000+ medical websites using Python (BeautifulSoup, and Selenium) to develop a comprehensive database for a healthcare platform.
• Designed and implemented a Multi-Agent AI system using Crew AI to retrieve medical domain research papers, extract relevant data from credible sources, and compile structured research documents in publication-ready format.
• Collaborated with cross-functional teams, including developers, domain experts, and compliance officers, to ensure seamless system integration, adherence to healthcare regulations, and delivery of an optimized, user-centric platform experience.

Data Analyst Intern at Ozibook (2024-09 – 2024-12)

• Engaged in lead generation tasks, identifying potential clients and conducting market research.
• Performed data scraping using Python (BeautifulSoup, and Selenium) to gather contact information for lead generation.
• Extracted and cleaned data from online platforms (such as LinkedIn, Instagram, etc.) to identify potential leads.
• Assisted in data analysis and visualization using tools like Excel and Google Sheets to support business decisions.
• Collaborated with the team on data-driven projects to enhance operational efficiency in 6+ client projects.

Bachelor of Science in Statistics; Minor in Mathematics, Economics – University of Calcutta