Anup Naik

Results-driven Data Scientist and QA Leader with more than 8 years of expertise in data analytics, data & content management, and data storage. Recognized for a consistent record of collaborative success spanning 5 product teams, specialized in crafting robust structured data management products and implementing seamless integration processes. Approaches places a strong emphasis on harnessing data analytics to drive enhanced outcomes across diverse projects, reflecting a commitment to detail and a passion for delivering impactful solutions.
Experienced professional with over two decades in the software R&D industry and a strong focus on Data Analytics. Expertise spans diverse domains, encompassing enterprise storage technology, structured data management, content management, data discovery, and telecommunications. As a certified data analyst, consistently showcased success in devising and executing impactful strategies that leverage data analytics to enhance organizational value. With track record reflects inspirational leadership, underlined by extensive experience and an unwavering commitment to excellence. With proven ability to translate data insights into actionable initiatives, contributing to the overall success and advancement of the organizations.

Project - Exploratory Data Analysis: To analyse seasonal demand patterns and optimize inventory management strategies for Croma's electronic retail stores.

· Conducted extensive exploratory data analysis (EDA) on transactional data to identify seasonal trends (temporal, festive) and their impact on sales volumes.

· Segmented products into premium, mainstream, and value categories for targeted marketing strategies.

· Created dashboards for establishing visual correlations between price evolution and demand for products.

· Developed sales dashboard providing insights into KPIs such as active customers, revenue, transactions etc across temporal dimensions, with filters and comparisons.

Technologies Used: Python, SQL/Pandas, MS Excel/PowerBI/Tableau

Project - Campaign Effectiveness Analysis: To evaluate the effectiveness of marketing campaigns and optimize marketing ROI for Croma.

· Developed predictive models using Random Forest and XGBoost algorithms to assess campaign effectiveness.

· Incorporated sentiment analysis of customer feedback to gauge campaign impact on customer perception.

· Utilized BI tools for dynamic visualization of model results, including confusion matrices and performance metrics.

· Provided actionable recommendations for enhancing future campaign strategies and optimizing marketing ROI.

Technologies Used: Python, Pandas, PowerBI/Tableau

Project - Customer Feedback Analysis using NLP: To analyse customer feedback data and improve customer satisfaction for Croma's electronic retail stores.

· Leveraged natural language processing (NLP) techniques to analyse customer feedback data from Net Promoter Score (NPS) surveys.

· Pre-processed text data, performed sentiment analysis, and extracted key phrases to understand customer sentiments.

· Developed a dynamic dashboard for visualizing sentiment distribution and key phrases, offering insights for improving customer satisfaction and tailoring product offerings.

Technologies Used: Python, PowerBI/Tableau

Project - Delivery Fulfilment Analysis: To optimize delivery fulfilment processes and enhance customer satisfaction for Croma's electronic retail stores.

· Analysed multistage delivery fulfilment processes using transactional data to identify bottlenecks and optimize operations.

· Calculated average durations between key stages of shipment fulfilment and examined variations across multiple dimensions like cities, product groups, day of week etc.

· Utilized BI tools for dynamic dashboard creation to monitor delivery performance and track key metrics.

· Provided recommendations for streamlining delivery processes and enhancing customer satisfaction by ensuring timely deliveries.

Technologies Used: Python, SQL/Pandas, PowerBI/Tableau/MS Excel