Kailainathan M K Email & Phone Number
Who is Kailainathan M K? Overview
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Kailainathan M K is listed as Senior Data Analyst at Eneco, a with 3338 employees, based in Zwolle, Overijssel, Netherlands. AeroLeads shows a matched LinkedIn profile for Kailainathan M K.
Kailainathan M K previously worked as Product Analyst - Advertising at Bol.Com and Data Analyst - Product at Tinka. Kailainathan M K holds Master Of Science - Ms, Computer Science - Big Data Engineering from Vrije Universiteit Amsterdam (Vu Amsterdam).
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About Kailainathan M K
As a Product Analyst, I leverage a robust background in data and analytics to drive insightful and impactful decisions. My career has spanned a few industries, including advertising, fintech, software, and data storage and management, where I honed my expertise in interpreting complex datasets and deriving actionable insights.I possess strong coding skills in SQL, PySpark, and Python, which enable me to handle data efficiently and create sophisticated analytical models. My proficiency in data visualization tools like Tableau , Looker studio and also in Databricks SQLIf you're looking for a dedicated and technically proficient product analyst / data analyst or a data guy with a proven track record in diverse industries, let's connect. I am always eager to discuss how data-driven strategies can solve complex challenges and create new opportunities.
Kailainathan M K's current company
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Kailainathan M K work experience
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Product Analyst - Advertising
Current1) Working in Display Advertising. Helped develop new metrics and KPIs that provided advertisers with deeper insights into campaign performance, contributing to improved decision-making and optimization.2) Created and maintained dashboards that enhanced the team's ability to monitor product performance and identify areas for improvement.3) Provided actionable insights and recommendations to the product manager, directly influencing product strategy and prioritization.4) Contributed to the research and analytical framework for new product development, ensuring that new products were grounded in solid data .5) Learning DBT on the Job to make better and centralised use of data and data definitions. Also to expand my skillset.
Data Analyst - Product
1) Successfully transformed the data and analytics framework, resulting in more efficient and informative systems that supported data-driven decision-making across the company.2) Provided critical insights that optimized the product user journey, leading to improved funnel conversion rates and user satisfaction. Added key KPI's into our monitoring mechanisms which helped understand the product much better.3) Established robust data pipelines and transformed raw data into actionable insights, empowering teams to leverage data effectively.4) Enhanced the company's A/B testing processes through the implementation of monitoring dashboards, leading to more accurate and actionable test results.5) Streamlined communication of insights through automated Slack alerts, ensuring that stakeholders were consistently informed of key data trends and findings.6) Apart from that, conducted analysis on key areas including audience targetting for marketing, customer care engagement and financial transactions which helped better our results. 7) Transitioned most of the company's dashboards from Tableau to the new Databricks SQL product.8) Worked in cross functional teams across the product to effectively help them with Data analysis and decision making.
Research Thesis Intern
1) Successfully developed a sales forecast web application that leveraged machine learning models to predict sales outcomes with reasonable accuracy, providing valuable insights for decision-making.2) Designed and implemented data pipelines to facilitate periodic model training and testing, ensuring adaptability to changing business environments and improving forecast accuracy over time.3) Demonstrated the practical application of machine learning and data analysis skills to solve real-world problems, contributing to the company's strategic objectives and operational efficiency and also help defend my Master's thesis.4) Apart from that, also coordinated with the unified Data team on best practices and approaches for setting up solutions for our team's data problems.
Financial Planning And Analysis : Data Science Intern
1) Collaborated with the worldwide financial planning and analysis team to enhance reporting and analysis processes by transitioning from Excel-based dashboards to more robust tools like Tableau, resulting in improved data visualization and decision-making capabilities.2) Played a pivotal role as the sole analyst intern within a team of finance professionals, providing expertise in dashboard design and visualization techniques to support strategic initiatives.3) Participated in the design and brainstorming of key performance indicators (KPIs) to identify low-profit-margin countries, contributing to the development of actionable insights for management decision-making.4) Worked closely with supervisors, directors, and vice presidents in regular meetings to discuss analysis findings and provide recommendations for optimizing profitability across various regions.5) Engaged with country heads to communicate analysis results, facilitate discussions on performance improvement opportunities, and drive data-driven decision-making processes.6) Assisted in creating data-driven strategies to address low-profit areas, leading to improved profitability and operational efficiency for the company.
Associate Software Engineer
1) Played a key role in ensuring the seamless operation of payment gateways and ATMs by developing PL/SQL-based packages and procedures to enhance backend functionality and data integrity.2) Successfully navigated through legacy systems with limited documentation, troubleshooting issues, and implementing solutions to improve system performance and reliability.3) Led efforts to address performance issues in legacy systems, resulting in significant reductions in manual work and cost savings for the client.4) Designed and developed frontend GUIs using PowerBuilder to provide intuitive user interfaces for internal tools and applications.5) Actively participated in client hackathons, showcasing creativity and technical expertise by building a service chatbot using Python to provide resolution support during out-of-office hours.6) Implemented alerting mechanisms using Splunk to monitor system health and performance, contributing to proactive issue resolution and incident management.7) Earned certifications in Splunk and utilized the platform to build custom dashboards and reports for monitoring and analysis purposes.8) Leveraged Python and Tableau to build analytical dashboards for pilot projects, demonstrating the value of data-driven insights and advancing reporting capabilities for the organization.
Bachelor Thesis Intern
1) Conducted research for the bachelor thesis focusing on utilizing the extensive network of transmission lines in the state for improving line losses by reconfiguration of transmission line based on ant colony algorithm.2) Collaborated closely with advisors and industry experts to gather relevant data and insights for the thesis project.3) Leveraged Matlab for data analysis, modelling, and simulation to explore the dynamics and performance of the transmission network.4) Presented findings and recommendations through comprehensive reports and presentations, demonstrating a deep understanding of the subject matter and analytical rigour.
Electrical Engineering Intern
1) Gained hands-on experience in the area of electrical parts manufacturing for appliances, including the maintenance and troubleshooting of electrical systems.2) Collaborated with the engineering team to understand the electrical schematics and wiring diagrams, enhancing my technical knowledge and problem-solving skills.3) Documented and reported electrical issues, maintenance activities, and project progress to senior engineers and management.4) Participated in project management tasks, coordinating with different departments to streamline operations and improve workflow efficiency.
Colleagues at Eneco
Other employees you can reach at eneco.nl. View company contacts for 3338 employees →
Bryan Schmidt
Colleague at EnecoGendt, Gelderland, Netherlands
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Marnix Heijboer
Colleague at EnecoAmsterdam, North Holland, Netherlands
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Francisca Schreefel
Colleague at EnecoAlmere, Flevoland, Netherlands
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Elise Vlaardingerbroek
Colleague at EnecoDelft, South Holland, Netherlands
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Andrea Teixeira
Colleague at EnecoHelmond, North Brabant, Netherlands
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Jérôme Hansenne
Colleague at EnecoAntwerp Metropolitan Area, Belgium
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Nepfry Matilde
Colleague at EnecoDelft, South Holland, Netherlands
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Bas Van Der Bos
Colleague at EnecoLelystad, Flevoland, Netherlands
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Wilma Engberts
Colleague at EnecoThe Randstad, Netherlands
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Wouter De Wilde De Ligny
Colleague at EnecoThe Randstad, Netherlands
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Kailainathan M K education
Master Of Science - Ms, Computer Science - Big Data Engineering
Master Of Science - Ms, Computer Science - Big Data Engineering
Bachelor Of Engineering - Be, Electrical And Electronics Engineering
Frequently asked questions about Kailainathan M K
Quick answers generated from the profile data available on this page.
What company does Kailainathan M K work for?
Kailainathan M K works for Eneco.
What is Kailainathan M K's role at Eneco?
Kailainathan M K is listed as Senior Data Analyst at Eneco.
Where is Kailainathan M K based?
Kailainathan M K is based in Zwolle, Overijssel, Netherlands while working with Eneco.
What companies has Kailainathan M K worked for?
Kailainathan M K has worked for Eneco, Bol.Com, Tinka, Netapp, and Accenture.
Who are Kailainathan M K's colleagues at Eneco?
Kailainathan M K's colleagues at Eneco include Bryan Schmidt, Marnix Heijboer, Francisca Schreefel, Elise Vlaardingerbroek, and Andrea Teixeira.
How can I contact Kailainathan M K?
You can use AeroLeads to view verified contact signals for Kailainathan M K at Eneco, including work email, phone, and LinkedIn data when available.
What schools did Kailainathan M K attend?
Kailainathan M K holds Master Of Science - Ms, Computer Science - Big Data Engineering from Vrije Universiteit Amsterdam (Vu Amsterdam).
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