Oct 2023 – Sep 2024 · 11 mos · Berlin, Germany

• Implementing end-to-end machine learning projects, from conception to MLOps deployment using AWS components such as SageMaker Pipelines, AWS ECS, AWS CDK, and CI/CD with Jenkins.
• Implementing and deploying advanced analytical models on AWS to optimize performance marketing campaigns by optimizing ad spend to achieve targeted business outcomes.
• Developing a ML-based ranking algorithm to enhance product offerings for our customers.
• Implementing a forecasting model to estimate future energy orders.
• Deploying an in-house GenAI chatbot using AWS Bedrock service and Streamlit.
• Constructing and optimizing ETL data pipelines using AWS ECS and State Machines.

Apr 2022 – Sep 2023 · 1 yr 5 mos · Berlin, Germany

• Developed machine learning solutions in Big data that empower stakeholders to make data-driven decisions. Here's a glimpse into my responsibilities:
• Majorly contributed and led churn prediction and customer lifetime value (CLV) forecasting initiatives.
• Building robust data pipelines for seamless model deployment and enabling A/B testing of CRM campaigns.
• Analyzing user behavior and engineering features to capture unique user patterns upon which various campaigning strategies can be built.
• Conducting insightful A/B tests to refine strategies and optimize campaign effectiveness.
• Crafting personalized email campaigns and personalised recommendations, on-site campaigns, and newsletters for Germany's largest news media house.

Jul 2021 – Mar 2022 · 8 mos · Berlin, Germany

• Worked on news recommendation algorithms and personalization for ranking news articles based on an ensemble of hybrid models. My key responsibilities included:
• Utilizing tools like PySpark and AWS to analyze user behavior patterns, handling large volumes of data effectively.
• Writing PySpark data transformations to generate training data for our recommendation engine.
• Implementing supervised machine learning algorithms to power the recommendation engine, maximizing user engagement and increasing subscriptions by delivering personalized articles on welt.de and bild.de.
• Developing new machine learning models to predict the ratio of free and premium articles.
• Experimenting with innovative features and machine learning models using AWS.
• Conducting rigorous A/B tests to evaluate the performance of deployed models.
• Creating RShiny dashboards for post-deployment monitoring of A/B tests.
• Applying Agile Scrum Methodology to build and deliver data products effectively.

Nov 2019 – Jun 2021 · 1 yr 7 mos · Germany

• I was majorly involved in data analysis and data extraction through SQL queries, JavaScript development, and thorough documentation. Here are the key details:
• Worked on creation of SQL queries for data extraction, updates and data analysis. Proficient in utilizing joins, filtering, and subqueries to extract meaningful insights from the data.
• Utilized JavaScript to effectively display user data and enable CRUD (Create, Read, Update, Delete) operations, enhancing the user experience and interactivity.
• Committed to meticulous documentation, ensuring comprehensive coverage of both functional and technical aspects.

Aug 2017 – Sep 2019 · 2 yrs 1 mo

• I developed the ideation and implementation of projects aimed at harnessing the power of machine learning and data science within our team. Here are some key highlights:
• Successfully advocated for the integration of ML and data science methodologies, fostering a culture of innovation and continuous improvement within the team.
• Collaborated with stakeholders to identify business challenges and opportunities where ML and data science could provide valuable solutions.
• Successfully automated the Triage ticketing team using AI, resulting in a significant benefit of 10 FTE, enhancing efficiency and productivity.
• Developed a Proof of Concept (POC) for the automation project, encompassing data analysis, visualization, cleaning, preprocessing, feature engineering, and Natural Language Processing. Implemented state of the art classification ML algorithms in Python for workflow optimization.
• Worked on Customer Churn Prediction project, leveraging Tableau for data analytics. Conducted extensive data preprocessing, statistical analysis, and built data models in Python following the CRISP-DM framework, enabling accurate churn prediction.

Sep 2016 – Aug 2017 · 11 mos

• My key responsibilities included:
• Actively contributed to the development of mobile applications across diverse domains, benefiting customers, vendors, and internal operational activities at Vodafone.
• Collaborated with stakeholders to understand requirements and deliver mobile applications that effectively addressed their specific needs.
• Demonstrated strong technical skills and a deep understanding of user experience (UX) principles to create intuitive and user-friendly mobile applications.
• Played a vital role in ensuring seamless integration and functionality of the developed mobile applications, enhancing overall operational efficiency.