Senior Analyst with 3+ years in Data Visualization & Machine Learning
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Data Analyst with extensive experience in transforming complex datasets into actionable insights. Developed a reporting dashboard that improved reporting efficiency by 50%, enabling faster, data-driven decisions across departments. Additionally, identified key customer behavior trends that informed a targeted marketing campaign, leading to a 20% sales increase within three months. Skilled in data visualization and collaboration, offering expertise that enhances data accuracy and empowers teams to leverage analytics effectively.
Jeppiaar Engineering College
Bachelor of Engineering · Mechanical Engineering
January 1, 2014 – January 1, 2018
Cape Start Pvt Ltd
Data Research Analyst
December 1, 2022 – Present
India
Competitive Intelligence and Market Analysis (Lexis Nexis - UHG)
December 1, 2022 – Present
Leveraged advanced data analytics techniques to drive competitive intelligence initiatives in support of a major U.S.-based pharmaceutical client (UHG). Systematically collected, cleaned, and analyzed large volumes of market data to track competitor activities, including market share fluctuations and procurement patterns. Utilized the LexisNexis platform as the primary data sourcing and research tool to extract and structure raw competitive data for analysis. Translated raw competitive data into structured, insight-driven reports using Tableau and Power BI – identifying trends, flagging strategic shifts, and delivering actionable intelligence. Compiled comprehensive, client-ready reports to enable data-backed decision-making at the stakeholder level.
Media Monitoring and Metadata Management (Cision and Trendkite)
December 1, 2022 – Present
Audited and evaluated diverse media sources for data integrity and relevance, applying core data analyst competencies in support of Cision, a globally recognized leader in media monitoring. Systematically examined media datasets to identify inconsistencies and gaps, executing precise metadata updates in alignment with client-defined specifications. Ensured accuracy and structure of underlying data pipelines feeding into Cision's and Trendkite's monitoring platforms, directly contributing to the reliability of insights delivered to end clients.
Copyright Claiming and IP Protection (Videocites)
December 1, 2022 – Present
Applied data monitoring and analytical methodologies to support intellectual property protection for high-profile content owners across sports and entertainment as part of the Videocites copyright claiming project. Conducted real-time data tracking and analysis during live broadcast sessions for major sports leagues including the NBA, NFL, NHL, MLB, and Premier League, as well as film studios such as Paramount and Warner Bros. Leveraged specialized data monitoring and reporting tools – Inspector, Datadog, and Discover Feed – to identify, flag, and process copyright claims with precision and speed. Interpreted live data streams under time-sensitive conditions, maintaining high accuracy while ensuring compliance and IP enforcement aligned with client requirements. Generated structured reports to document copyright claim outcomes and support end-to-end IP protection workflows for clients.
Data Science Professional Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience spans diverse domains including media monitoring, competitive intelligence for pharmaceuticals, and intellectual property protection for sports/entertainment. This breadth of exposure suggests adaptability and a willingness to engage with varied business contexts. The focus on delivering actionable insights and improving efficiency aligns well with a results-oriented culture. However, the resume does not provide explicit details on collaboration styles or contributions to team culture beyond training, which limits a deeper assessment of cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their ability to identify key trends and improve reporting efficiency. Their experience in collaborating with cross-functional teams and training colleagues suggests good teamwork and a proactive approach to fostering a data-centric culture. The projects indicate an ability to work under time-sensitive conditions and manage data integrity, which are crucial for operational fit in a senior analyst role.