Sep 2020 – Jan 2023 · 2 yrs 4 mos · Berlin, Germany · Remote

• ✅ 𝐉𝐚𝐯𝐚 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐁𝐢𝐠𝐠𝐞𝐬𝐭 𝐁𝐚𝐧𝐤 𝐢𝐧 𝐄𝐮𝐫𝐨𝐩𝐞:
• Served as a Java Big Data Developer, focusing on enhancing and optimizing data processing and management.
• Regularly reviewed and revised code to ensure optimal performance and maintainability, both within and outside of merge requests.
• Collaborated closely with the project owner to evaluate the profitability and feasibility of new tasks, ensuring efficient resource allocation and prioritization.
• Actively engaged in team discussions, sharing knowledge and insights on emerging technologies and best practices.
• Took the lead in promoting knowledge sharing by delivering presentations on relevant topics, such as natural language processing and dialogue flow capabilities.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:
• Proactively identified and revised poorly written code, leading to a significant improvement in overall code quality and setting a new standard for the team.
• Successfully influenced a positive change in team behavior, with 15 coworkers adopting a more proactive approach to code review and quality assurance.
• Demonstrated a strategic approach to task management, effectively avoiding the implementation of • 3 features that were deemed non-essential, resulting in time and resource savings.
• Spearheaded knowledge-sharing initiatives, including delivering a well-received presentation on dialogue flow, which ignited team interest and discussions on natural language processing.

Sep 2019 – Sep 2020 · 1 yr · Remote

• ✅ 𝐑𝐞𝐩𝐥𝐢𝐜𝐚 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐒𝐛𝐞𝐫𝐁𝐨𝐱 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭
• Engaged in the revision and refactoring of the existing ecosystem for creating dialogue scenarios using Scala, Akka, and Kafka.
• Spearheaded the development of new features to enhance user interaction and dialogue flow.
• Diligently addressed and resolved bugs, ensuring a seamless user experience and system functionality.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:
• Successfully refactored and optimized the existing ecosystem, leading to a 20% improvement in dialogue scenario creation efficiency.
• Introduced innovative solutions that were readily adopted, fostering a culture of continuous improvement and technological advancement within the team.
• Recognized for proactive collaboration and bridging the gap between the development, testing, and analytics departments, resulting in more streamlined processes and enhanced product quality.

May 2019 – Sep 2019 · 4 mos · San Francisco Bay Area · Remote

• ✅ 𝐂𝐡𝐚𝐭 𝐁𝐨𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐆𝐫𝐢𝐝 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬
• Developed an API for OmniChannel chat clients, including platforms like Mobile/Flutter and Amazon Alexa.
• Led the initiative to rewrite logic for NLP/NLU processing, leveraging the capabilities of DialogFlow & BigQuery within the Research & Development Team.
• Designed a robust framework based on Google App Engine to support the chatbot functionalities.
• Established a CI/CD pipeline using Google Cloud Build, ensuring seamless deployment and updates.
• Integrated AI-powered NLP functionalities with the backend to enhance chatbot responses and interactions.
• Ensured smooth integration of mobile platforms with the REST backend, providing a consistent user experience across devices.
• Prioritized and implemented unit tests to validate the functionality and reliability of the chatbot system.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐥𝐚𝐮𝐧𝐜𝐡𝐞𝐝 𝐭𝐡𝐞 𝐜𝐡𝐚𝐭𝐛𝐨𝐭 𝐏𝐎𝐂 𝐰𝐢𝐭𝐡𝐢𝐧 𝐒𝐥𝐚𝐜𝐤, 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨 𝐚 25% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐮𝐬𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞𝐝 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬.

Dec 2018 – Jun 2019 · 6 mos · Dubai, United Arab Emirates

• ✅ 𝐏𝐎𝐂 𝐀𝐈-𝐎𝐩𝐬 𝐟𝐨𝐫 𝐖𝐞𝐥𝐥𝐬 𝐅𝐚𝐫𝐠𝐨
• Integrated CI/CD techniques with Machine Learning to streamline and enhance the deployment of AI models.
• Collaborated closely with the ML Platform Team Sales to align project goals and deliverables.
• Underwent business training on MLM platforms, with a focus on DataRobot, to enhance ML knowledge and skills.
• Conducted extensive research on ML methodologies and best practices to ensure optimal project outcomes.
• Performed benchmarking of model training speeds to identify areas for optimization.
• Checked and validated sample datasets in various ML tools to ensure data quality and consistency.
• Designed and implemented a robust pipeline using GitLab, Python Flask, and DVC, enhancing the efficiency of ML model deployment.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 𝐭𝐡𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐢𝐧 𝐚 𝐬𝐡𝐨𝐫𝐭 𝐭𝐢𝐦𝐞𝐟𝐫𝐚𝐦𝐞 𝐚𝐧𝐝 𝐭𝐨𝐨𝐤 𝐨𝐧 𝐚 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐫𝐨𝐥𝐞, 𝐠𝐮𝐢𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐭𝐞𝐚𝐦 𝐭𝐨𝐰𝐚𝐫𝐝𝐬 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐢𝐨𝐧.

Jun 2018 – Dec 2018 · 6 mos · Moscow City, Russia

• ✅ 𝐃𝐨𝐮𝐛𝐥𝐞 𝐀𝐮𝐝𝐢𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐃𝐨𝐮𝐛𝐥𝐞 𝐃𝐚𝐭𝐚
• Developed a system to filter data across all social network websites for each account holder.
• Enhanced command programming skills to improve the efficiency and reliability of data processing.
• Wrote and optimized Spark-based tests to ensure data accuracy and performance.
• Implemented best practices in design patterns, including the builders design pattern, to streamline data processing.
• Developed functionality to save statistics in AWS S3, ensuring data integrity and accessibility.
• Created a Spark Job for filtering and counting statistics, providing actionable insights for client decision-making.
• Designed scripts for seamless communication with Elastic MapReduce using Python Boto3.
• Worked within a Scrum framework, ensuring timely delivery of project milestones and effective team collaboration.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐝𝐚𝐭𝐚 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐬𝐩𝐞𝐞𝐝𝐬 𝐛𝐲 25% 𝐚𝐧𝐝 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐝𝐚𝐭𝐚 𝐬𝐭𝐨𝐫𝐚𝐠𝐞 𝐜𝐨𝐬𝐭𝐬 𝐛𝐲 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐬𝐭𝐨𝐫𝐚𝐠𝐞 𝐢𝐧 𝐀𝐖𝐒 𝐒3.

May 2017 – Jun 2018 · 1 yr 1 mo

• ✅ 𝐍𝐢𝐟𝐢 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐞𝐬𝐭𝐬 𝐟𝐨𝐫 𝐇𝐨𝐦𝐞𝐂𝐫𝐞𝐝𝐢𝐭 𝐁𝐚𝐧𝐤
• Developed a Scala library for integration tests of Nifi flow, ensuring each Nifi block was tested based on comments.
• Set up Docker-compose with two containers (Nifi and Kafka) and wrote a Process Builder for Docker interaction.
• Designed a validation algorithm for the data-provenance stream based on processor comments.
• Matched responses from Nifi-rest to the case class structure using Scala-faster-xml.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐭𝐡𝐞 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐨𝐟 𝐍𝐢𝐟𝐢 𝐟𝐥𝐨𝐰 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐛𝐲 30%, 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧.

May 2017 – Jun 2018 · 1 yr 1 mo

• ✅ 𝐃𝐚𝐭𝐚 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐇𝐨𝐦𝐞𝐂𝐫𝐞𝐝𝐢𝐭𝐁𝐚𝐧𝐤
• Developed and integrated a system to save data from websites, backend servers, and mobile applications to the Hadoop Ecosystem.
• Wrote a Scala library to automatically generate a config for Flume, enabling data reading from Kafka and storage in HDFS.
• Designed a Spark Job for data complexity in the HDFS block of 128 MB.
• Architected a comprehensive data collection system, including creating a naming convention for
• Kafka topics and segmenting data for homogeneity.
• Collaborated actively with coworkers to develop balancers based on F5 and Imperva for Kafka-REST.
• Engaged with the backend of three Agile teams at the bank, providing consultation on writing Producers with custom partitioning keys for Kafka API.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐑𝐞𝐝𝐮𝐜𝐞𝐝 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐢𝐦𝐞 𝐛𝐲 40% 𝐚𝐧𝐝 𝐞𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐝𝐚𝐭𝐚 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲, 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨 𝐦𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬.

May 2016 – May 2017 · 1 yr

• ✅ 𝐂𝐥𝐢𝐜𝐤𝐇𝐨𝐮𝐬𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧
• Developed and integrated a system to collect data from Google Analytics to ClickHouse, a renowned Russian Database from Yandex.
• Implemented Python code for data collection and integration.
• Ensured data accuracy and optimized data transfer processes.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐝𝐚𝐭𝐚 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐬𝐩𝐞𝐞𝐝𝐬 𝐛𝐲 30% 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐂𝐥𝐢𝐜𝐤𝐇𝐨𝐮𝐬𝐞.

May 2016 – May 2017 · 1 yr

• ✅ 𝐊𝐨𝐫𝐚𝐛𝐥𝐢𝐤 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬
• Integrated, collected, and analyzed both web and offline data.
• Implemented JavaScript code for data collection from the website.
• Analyzed data from the website and surveys to derive actionable insights.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐝 𝐤𝐞𝐲 𝐮𝐬𝐞𝐫 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨 𝐚 20% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐭𝐚𝐫𝐠𝐞𝐭𝐞𝐝 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲.

May 2016 – May 2017 · 1 yr

• ✅ 𝐗𝐟𝐢𝐭 𝐆𝐨𝐨𝐠𝐥𝐞 𝐓𝐚𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧
• Developed and integrated a system using Google Tag Manager to enhance Google Enhanced Analytics for the Xfit website.
• Created JavaScript code for accurate data collection from the Xfit site to Google Analytics.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐝𝐚𝐭𝐚 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐛𝐲 15% 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐫𝐞𝐟𝐢𝐧𝐞𝐝 𝐝𝐚𝐭𝐚 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐦𝐞𝐭𝐡𝐨𝐝𝐬.

May 2016 – May 2017 · 1 yr

• ✅ 𝐎𝐟𝐟𝐥𝐢𝐧𝐞 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐟𝐨𝐫 𝐈𝐊𝐄𝐀
• Conducted offline research by surveying shoppers at a large shopping center.
• Designed and executed surveys to gather insights and feedback for IKEA.
• Analyzed via Pandas and Numpy survey results to provide actionable recommendations.
• Achievement: Identified key areas of improvement, leading to a 10% increase in shopper satisfaction at the surveyed IKEA location.
• ✅ 𝐆𝐀 𝐃𝐚𝐭𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐈𝐦𝐩𝐨𝐫𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤
• Developed a framework for importing data from the Google Analytics system.
• Streamlined the data analysis process and improved efficiency in data handling and reporting.

Oct 2015 – May 2016 · 7 mos

• ✅ 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧
• Increased efficiency in the e-commerce project, focusing on conversion, revenue, and transactions.
• Full customization of Google Universal Analytics, including Enhanced Ecommerce, dataLayer JSON integration, and ERP connection.
• Comprehensive customization of Yandex.Metrica and Optimizely, integrating with Google Universal Analytics.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐝 𝐚 20% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐞-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐫𝐚𝐭𝐞𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐜𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧𝐬.

Oct 2015 – May 2016 · 7 mos

• ✅ 𝐒𝐮𝐫𝐯𝐞𝐲 𝐚𝐧𝐝 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧
• Created polls using TypeForm and integrated post-poll mechanisms into the call center workflow.
• Developed survey templates and conducted them to gather valuable customer insights.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐬𝐚𝐭𝐢𝐬𝐟𝐚𝐜𝐭𝐢𝐨𝐧 𝐛𝐲 30% 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐟𝐫𝐨𝐦 𝐬𝐮𝐫𝐯𝐞𝐲𝐬.

Oct 2015 – May 2016 · 7 mos

• ✅ 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧
• Conducted in-depth data analysis using Microsoft Excel, including data uploading, Pivot Table aggregation, bottleneck identification, and a/b testing results analysis.
• Generated insights from the collected data, created user segments for application in Google Universal Analytics, and visualized answers to e-commerce project users' queries.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐝 𝐚𝐧𝐝 𝐚𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝 𝐭𝐡𝐫𝐞𝐞 𝐦𝐚𝐣𝐨𝐫 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬, 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨 𝐚 15% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐬𝐢𝐭𝐞 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐮𝐬𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭.

Oct 2013 – Oct 2015 · 2 yrs

• ✅ 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧
• Full customization of Google Universal Analytics, including Enhanced Ecommerce, dataLayer JSON integration, and ERP connection.
• Full customization of Yandex.Metrica with goal duplicates and Enhanced E-commerce duplication.
• Comprehensive Optimizely configuration and integration with Google Universal Analytics.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐁𝐨𝐨𝐬𝐭𝐞𝐝 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐫𝐚𝐭𝐞𝐬 𝐛𝐲 0.5% 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐜𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧𝐬.

Oct 2013 – Oct 2015 · 2 yrs

• ✅ 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝 𝐚𝐧𝐝 𝐔𝐬𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬
• Creation of Google Spreadsheet Dashboards for customers.
• Usability analysis for clients with design recommendations based on Keyvision team insights.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐮𝐬𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐛𝐲 25% 𝐟𝐨𝐫 𝐭𝐡𝐫𝐞𝐞 𝐦𝐚𝐣𝐨𝐫 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐮𝐬𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬.

Oct 2013 – Oct 2015 · 2 yrs

• ✅ 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬
• Script code implementation for CPA and RTB systems.
• Post-click contextual advertising analysis.
• Goals setup in Comagic, CallTouch, and ERP data integration.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐝 𝐚𝐧𝐝 𝐫𝐞𝐜𝐭𝐢𝐟𝐢𝐞𝐝 𝐚 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐭𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐟𝐥𝐚𝐰, 𝐫𝐞𝐬𝐮𝐥𝐭𝐢𝐧𝐠 𝐢𝐧 𝐚 10% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐚𝐜𝐜𝐮𝐫𝐚𝐭𝐞 𝐝𝐚𝐭𝐚 𝐜𝐚𝐩𝐭𝐮𝐫𝐞.

Oct 2013 – Oct 2015 · 2 yrs

• ✅ 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐒𝐞𝐦𝐢𝐧𝐚𝐫𝐬
• Speaker at Google product training sessions and Google Partners seminars, covering topics like Google Tag Manager, Google Analytics, and deriving business metrics from analytical systems.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐓𝐫𝐚𝐢𝐧𝐞𝐝 𝐨𝐯𝐞𝐫 200 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬, 𝐫𝐞𝐜𝐞𝐢𝐯𝐢𝐧𝐠 𝐚 95% 𝐩𝐨𝐬𝐢𝐭𝐢𝐯𝐞 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐫𝐚𝐭𝐞 𝐟𝐨𝐫 𝐜𝐥𝐚𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞.