Data Analyst with 8+ years in data analysis, machine learning, and visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and motivated Data Science professional with strong foundations in data analysis, machine learning, and visualization tools. Seeking an entry-level Data Scientist / Data Analyst role where analytical skills, real-world business exposure, and a continuous learning mindset can contribute to data-driven decision-making.
NVPAS (S. P. University)
B.Sc. Bioinformatics · Bioinformatics
N/A – June 30, 2012
RPTP Science School
12th Science · Science
N/A – May 31, 2008
Sardar Vallabhbhai Patel High School Khetivadi
10th
N/A – May 31, 2005
Fashion Villa
Co-Founder / Business Partner
November 1, 2018 – January 1, 2023
India
AK Developers
Assistant – Clerical & Site Operations
January 1, 2015 – November 1, 2018
India
Data Science & Machine Learning Certification
Venom & Ultron Technologies
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's career objective clearly states a desire for an entry-level Data Scientist/Data Analyst role, indicating strong alignment with the target position. The professional training in Data Science and Machine Learning, despite the lack of direct professional experience in these areas, shows initiative and a commitment to acquiring relevant skills. The diverse background in business operations and clerical work suggests adaptability and a broad understanding of business processes, which can be valuable in a data analysis context. However, the absence of specific data-related projects or roles makes it difficult to fully assess the depth of cultural fit for a highly technical data team.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder/Business Partner suggests entrepreneurial drive, customer coordination skills, and operational management. Clerical and site operations experience indicates organizational skills and attention to detail. The career objective highlights a continuous learning mindset and a focus on data-driven decision-making, which are positive indicators for operational fit in a data-centric role.