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Senior Data Analysis with 5+ years in Data Analysis & AI
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Assessing your cultural and operational fit
Experienced in data analysis and data processing, including data preprocessing, data ingestion, and analyzing large datasets to generate actionable insights and support data-driven decisions. Skilled in extracting structured information from unstructured text through prompt iteration and taxonomy refinement, and developing dashboards to visualize key metrics. Proficient in CRM data management using Pipedrive and its API to automate lead data integration and organization. Also experienced in web scraping and automated data acquisition using Python tools such as BeautifulSoup, Requests, and Selenium to extract and process large volumes of data from dynamic websites.
Netzwerk Data Science academy
Data science
August 1, 2023 – June 30, 2025
TKM College of engineering
Mechanical Engineering
August 1, 2014 – June 30, 2018
Axion
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December 1, 2025 – Present
Bengaluru, Karnataka, India
Atoa Software Development Pvt Ltd
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January 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India
Insnap Technologies
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May 1, 2023 – January 1, 2025
Bengaluru, Karnataka, India
ETA-APME
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March 1, 2022 – October 1, 2022
Bengaluru, Karnataka, India
Concord United Products Private Limited
Mechanical Design Engineer
January 1, 2019 – November 1, 2020
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's diverse experience across data analysis, lead generation, and data acquisition roles, coupled with ongoing data science education, suggests adaptability and a proactive learning attitude. The transition from mechanical engineering to data science indicates a strong drive for career growth and alignment with analytical roles. The breadth of tools and techniques used (SQL, Python, Excel, Power BI, ML/AI concepts, web scraping, LLMs) indicates a versatile skill set suitable for dynamic team environments. The candidate's interest in stock market analysis further aligns with a data-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through process automation and data quality analysis. Collaboration with cross-functional teams is evident in data acquisition and requirement gathering. The ability to refine prompts and taxonomies suggests an iterative and detail-oriented approach. The candidate's experience in lead generation and data acquisition indicates a results-driven mindset.