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Data Science with 2+ years in research & data analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To obtain a Government/Contract-based position where I can utilize my educational background, computer knowledge, and administrative skills to support office and project-related work efficiently.
University of Hyderabad (UOH)
M.Sc. Molecular Microbiology · Molecular Microbiology
August 1, 2019 – June 30, 2021
TSWRDC Warangal West (Kakatiya University)
B.Sc. · Microbiology, Zoology, Chemistry
August 1, 2016 – June 30, 2019
Ochre Digital Media
Lead Generation Associate
January 1, 2026 – May 1, 2026
Hyderābād, Telangana, India
Epistemo Vikas Leadership School
School Teacher
January 1, 2025 – April 1, 2025
Hyderābād, Telangana, India
Camlot Kid's
School Teacher
December 1, 2022 – April 1, 2024
Hyderābād, Telangana, India
College Project
June 1, 2020 – May 1, 2021
Computational approach to identify alternate drugs and targets for Xanthomonas oryzae pv. oryzicola (Bacterial leaf streak disease)
Cultural Fit Analysis
The candidate's background includes academic projects and research experience in molecular microbiology, which aligns with scientific inquiry. However, their professional experience is primarily in teaching and lead generation, which does not directly align with a Data Science role. The project diversity is limited to academic research. While the candidate expresses a desire to utilize their educational background and computer knowledge, the current professional trajectory does not strongly support a direct cultural fit for a typical Data Science team without significant upskilling and a career transition.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Good Communication, Teamwork, Problem-solving, Time Management, Leadership, Adaptability, and Critical Thinking. These are valuable for any professional role, including Data Science, where collaboration and analytical thinking are crucial. However, the operational fit for a Data Science role is limited due to a lack of direct professional experience in the field.