Gold Medalist in Post Graduate Program in Management (PGPM), majoring in Business Analytics and Finance from ICFAI business school (IBSB) and graduate in Computer Science Engineering from M S Ramaiah Institute of Technology. Key skills include data analytics, management consulting, machine learning, ETL, BI, reporting, python programming and automation Have a total experience of 5.5+ years including, 2.5+ years with Data Analytics and Business Analysis and 3+ years in Remote monitoring, Full stack software development, Automation and Agile.Currently working as Data Analyst at Philips for the Healthcare Serviceability ASP (Analytics Solutions Platform) team. Engaged in collaborating with data science team and solutions specialist's in generating data transformations for developing a BI layer for both internal and external stakeholders. At SagasIT Analytics worked as a Business/Data Analyst focusing on Analytics consulting, Client engagement and helping organizations generate insights from data. Prior Post Graduation worked at Philips as a software engineer for the healthcare business unit. Was engaged in building proactive monitoring solution of client infrastructure based on historical insights, automated device and service failure detection/prevention and building pipeline for automated client site updates.Aspire to work in the field of Analytics. Seeking to leverage business knowledge, statistical analysis, machine learning, software engineering and interpersonal skills for developing data driven solutions through technology.
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Data ScientistPhilipsBengaluru, Ka, In
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Associate Data Analyst IiPhilips Apr 2022 - PresentKarnataka, IndiaWorked as a Data Analyst for ASP (Analytics Solutions Platform). Was responsible for building data modelling, data governance, data confidence reports and interacting with stakeholders from different business units. Summary of the work I have performed under the role are as follows:• Building data models for customer facing boards. The dashboards include Operations dashboard, Install Base management dashboard, Cyber Security etc. Have created 10+ data models where data size is in terms of billion rows. • Created data confidence reports on Qlik Sense / Tableau for data quality and shared with customers. Defining quality rules whenever possible after agreement with business and markets. • Supported architect and product owners for Advance Development activities. Collaborated with Business and Markets for understanding their data needs and evaluating it with available data. • Created ETL (Extract, Transform and Load) pipelines in python for transforming raw data. Deployed SQL views in production created on data tables for customers to consume in their dashboard. • Developed data sync utilities in Python and Java for enabling data in Amazon S3. Defined key parameters like data refresh rate, data archival and retention and data path.• Data profiling and building views from data available in different data bases and data warehouse.
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Business AnalystSagasit Analytics Pvt. Ltd. Feb 2022 - Apr 2022Bengaluru, Karnataka, IndiaAdvertising performance analysis and Competitor Analysis Client: Penn National GamingPlatform & Skills: Excel, Power BIBrief: Analyzing promotion and advertising data across all the DBA’s and generating reports on Excel and Power BI to generate insights in optimizing marketing efforts. Scrapping data of the client’s competitors and weighing the performance against client’s performance. Financial reports migration to Power BIClient: Respect AustraliaPlatform & Skills: Excel, SQl, PythonBrief: Analyzed a SQL database with 400+ tables. Back traced the excel reporting of financial reports for the client and established a mapping between the client’s financial reports and database tables. Assessing the approaches for maintaining data synchronization between transactional database and cloud. -
Data Science Intern | Fintech DomainAja Feb 2021 - May 2021Bangalore Urban, Karnataka, IndiaWorked with the data science team and finance team in developing Financial Statements Variance Analysis. The objective was to develop a model to understand other expenses (component of P\L) and generate variance using Natural Language Processing (NLP). I have performed following tasks as part of the project:• Understanding the hierarchy of data which are present in general ledgers format. Performing EDA and cleaning the data. • I have written a custom algorithm in python for grouping the journal entries using text similarity algorithms. Tasks of NLP like tokenization, stop word removal, lemmatization and stemming and bag of words creation were done.• Used T5 model for natural language generation (reasons for variance) and mongo dB was used as database for storing generated natural language.• Used Streamlit python application for creating dashboard for visualization.Outcomes: Created dashboard consisting of other expenses variance report and the ledgers that have contributed for the variance. Drilling down capability till ledger level variance and summarizing the reasons for variance. Heat map showing the correlation between different ledgers. -
Software Engineer IiPhilips Apr 2019 - May 2020Bengaluru, Karnataka, IndiaWorked as a python developer and UI developer for proactive monitoring tool in the healthcare business unit of Philips. I started as software engineer I and later was promoted to role of software engineer II for my contributions to the team deliverables. A brief summary of the work I have performed under the role are as follows:• Building a proactive monitoring solution for client infrastructure management, failure alerting, automated packages updates and client site maintenance. • The proactive monitoring tool was on Angular 2/4 frontend and for backend python was used. Hence have worked on full stack development and dev-ops activities. Worked with several packages in python required for REST API's, automation, database interfacing and logging functionalities.• Designing intelligent workflows and reviewing it with stakeholders. Creating POC (Proof of Concept) for the workflows for testing the compatibility with existing architecture. • Have worked on mongo dB and SQL database. Created schema for user access control for the monitoring portal and deployed the same on production.• Was part of the risk assessment team to assess the requirements for migrating from Mongodb database to PostgreSQL.• Was responsible for requirements gathering, finalization and alignment with product roadmap.• Was recognized for python skills, full stack development and contribution in fast tracking sprint deliverables by IDM team stakeholders at Philips.
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Software Engineer IPhilips Jul 2017 - Mar 2019Bengaluru, Karnataka, India
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Software Development InternPhilips Jan 2017 - Jun 2017Bangalore Urban, Karnataka, India
Karthik M Education Details
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Cgpa - 9.9/10 -
M S Ramaiah Institute Of TechnologyCgpa - 9.24/10 -
Seshadripuram Pre-University College - India92.83%
Frequently Asked Questions about Karthik M
What company does Karthik M work for?
Karthik M works for Philips
What is Karthik M's role at the current company?
Karthik M's current role is Data Scientist.
What schools did Karthik M attend?
Karthik M attended Icfai Business School, M S Ramaiah Institute Of Technology, Seshadripuram Pre-University College - India.
Who are Karthik M's colleagues?
Karthik M's colleagues are Xiao Jin, Philipp Tomalla, Kalkidan Agemasu, Justin Sullivan Cra, Rt (R),(N),(Ct)arrt, Pet, Neil Bunting Bsc Gcgi, Gamze Arbak, Ashwini A V.
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Karthik M.
Innovative Avp | Product Leader | Expert In Blockchain, Cloud Solutions & Generative Ai | Driving Digital Transformation | Passionate About Emerging Tech & Business Growth | Ibm Product Manager SpecializationBengaluru
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