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Arnab Anand

@arnabanand

Senior Data Scientist at Sears

Pune, Maharashtra

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SearsJadavpur University

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

Apr 2023 - PresentPune, Maharashtra

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

Dec 2021 - Mar 2023Pune, Maharashtra

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

Sep 2020 - Nov 2021Kolkata, West Bengal

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

Aug 2017 - May 2021

Skills

Python
SQL
Mongo DB
Excel
Git
Docker
Rabbit MQ
VS Code
Kubernetes
Linux
Airflow
Selenium
Web Scraping
Data Mining
Data Visualization
Machine Learning
Beautiful Soup
NLP
Deep Learning