Tools & Techniques:

• Tableau
• PowerBI
• Google Analytics
• Grafana
• MS Office

Libraries:

• Pandas
• NumPy
• TensorFlow
• Scikit-learn
• Keras
• BeautifulSoup
• Scrapy
• seaborn
• matplotlib
• NLP

Frameworks:

• Jupyter Notebook
• Hadoop Spark
• Apache Spark
• Hive
• Docker
• Kanban

Project Management:

• Agile methodologies
• scrum
• kanban
• Confluence
• JIRA

Build Integration:

• Jenkins
• TortoiseSVN
• git

Analytics:

• Customer Segmetation
• ROI Optimization
• Campaign Performance
• A/B Testing
• Hypothesis Testing
• Data Storytelling

Project Details:

Tesco Business Solutions

• High value customer profile refresh - Analyzed year-over-year behavior of high-value customers across demographics, channels, and product tiers. Built Tableau dashboards and automated Google Sheets to track sales metrics, guiding CRM strategies and supporting personalized rewards for retention
• Scan as you shop proposition deep dive - Utilized customer data and engagement metrics to uncover that a 10% reduction in manned till costs could be achieved by expanding the ?Scan as You Shop? initiative across all large Tesco stores. This finding provided actionable insights for optimizing operational costs and enhancing the customer shopping experience
• NextGen - Optimized high-value customer segmentation using sales KPIs, stratified sampling, Sweetviz for EDA, and MiniBatchKMeans for clustering. This advanced segmentation aimed to enhance churn and CLV models, refining customer profiles for more effective retention strategies
• Streamlined data extraction, transformation, and analysis with SQL, reducing processing time by 20%
• Training and Analyst Assimilation Program - Mentored junior engineers in python for data science

Actify Data Labs

• AG Retail - Performed data cleaning and EDA on retail apparel spending patterns. Engineered features with onehot encoding, scaling (StandardScaler), and normalization. Used K-means clustering to segment customers, enhancing personalized marketing strategies
• Loyalty at Tata Starbucks - Developed strategies and actionable insights for loyalty programs, including KPI forecasting, audience segmentation, campaign budgeting, and performance evaluation. Built and maintained Tableau dashboards to provide weekly insights for marketing teams. Analyzed customer lifetime value (CLV) to identify growth opportunities and optimize loyalty initiatives

Accenture

• Bayer DMW Custom Reports - Deployed and tested a clinical product using Data Management Warehouse, implementing a REST API to asynchronously retrieve data and generate clinical Excel reports based on user inputs
• Bayer Protocol Deviation (PD) Posting Integration - Deployed and tested a clinical product to transfer data from DMW to RAVE Medidata using a REST API, with PD checks and scheduled posting via Quartz Scheduler

Academic Projects - Edureka:

Clinical Research In Healthcare

• Data Exploration - Analyzed patient conditions, medication usage, and visit intervals within specified timeframes
• Feature Engineering - Applied label encoding and one-hot encoding techniques for feature transformation
• Predictive Modelling - Used linear regression for cost estimation and K-means for patient segmentation

Consumer Complaint Narrative

• Data Exploration - Conducted text-based analysis to understand consumer complaints and resolution patterns
• Feature Engineering - Extracted and transformed key features to optimize model performance
• Predictive Modelling - Built classification models to predict complaint outcomes and evaluated performance

Income Classifier

• Data Exploration - Utilized Big Data technologies (HDFS, Hive) for data analysis and understanding
• Feature Engineering - Applied category indexing and one-hot encoding for data transformation
• Predictive Modelling - Built classifiers using Logistic Regression, Decision Tree, and Random Forest techniques

Praktikum:

2021 - 2021

Kunde: Autism Spectrum Disorder Screening using ML from Gayatri Technologies Pty Ltd

Aufgaben:

• Internship in Data Science and Business Analytics from The Sparks Foundation