Arnab Anand is an experienced Data Scientist with expertise in machine learning, NLP, and data pipeline automation. He has a proven track record of optimizing operational efficiency, notably reducing repair times by 28% using GPT-powered solutions. His skills include web scraping, advanced data visualization, and deploying automated reporting systems using tools like Airflow and Streamlit.
Experience
Senior Data Scientist
Sears
Reduced repair time by 28% through strategic implementation of OpenAI’s GPT-powered Tech Manager bot into existing infrastructure. Developed and deployed KPI evaluation dashboards that streamlined data pipelines and automated processes, enhancing operational efficiency. Seamlessly integrated Chat GPT for dynamic report generation, and deployed a user-friendly chatbot using the Streamlit framework, significantly improving report access and decision-making. Conducted in-depth analysis of Technician Route and Truck Inventory Data, identifying anomalies and optimizing operational efficiency.
Data Scientist
Sears
Utilized web scraping techniques to extract and analyze Instagram user engagement data, identifying trends and optimizing promotional strategies. Conducted geographical analysis to target marketing efforts effectively. Analyzed technician allotment for home repair services, evaluating the effectiveness of the existing routing system against industry standards. Provided actionable recommendations for system optimization. Automated web scraping processes and generated daily reports using Selenium, RabbitMQ, Airflow, and Mailjet, reducing manual workload and enhancing operational efficiency.
Data Scientist
Data Sutram
Spearheaded pilot projects for a leading paper company, analyzing four cities to identify total demand, potential wholesalers, and high-value customers. Expanded project to 30 additional cities. Conducted geo-queries to track mobile device movement, enabling precise visitor profiling and footfall analysis, leading to a 25% improvement in targeted marketing effectiveness. Recommended optimal placement of Electric Vehicle (EV) swapping and charging stations, based on pincode-level EV market analysis. Secured contracts for additional cities. Provided location insights to a leading PoS machine provider, facilitating strategic expansion into tier 2-3 cities and achieving a 40% increase in market share within six months.
Education
Jadavpur University
Bachelor of Engineering
Chemical Engineering