Pradyuman Sharma

Open to work

Research Analyst

Jaipur, IndiaEntry Level

RemoteFull-time$5.5k expected / year

Contact this talentProfile updated Jan 17, 2026

About

Motivated Research Analyst with strong foundation in data analysis, technical troubleshooting, and systematic investigation. B.Tech in Computer Science complemented by RedHat System Administrator certification. Demonstrated ability to conduct thorough research, analyze complex information, and document findings with precision. Skilled at collaborating with cross-functional teams, adapting to fast-paced environments, and maintaining high accuracy standards. Eager to apply technical skills and analytical mindset to support research initiatives and contribute to data-driven decision-making.

Professional details

Job title: Research Analyst
Job category: Data Analysis
Experience level: Entry Level
Contract type: Full-time
Work modes: Remote
Current location: Jaipur, India
Open to relocation: No
Expected salary: $5,500 per year

Skills

microsoft office suitedata analysistechnical troubleshooting

Preferred work areas

EUUKAustraliaUSA

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AI profile score

Jan 17, 2026

52of 100

Fair profile

The candidate's profile shows potential as an entry-level Research Analyst with a background in Computer Science and certifications, but it lacks depth and competitiveness in the global market. Strengths include a relevant job title and category (Data Analysis) with high demand, and a clear professional summary. However, significant weaknesses reduce market value: the location in India (Tier 3) limits global appeal without strong remote credentials, skills are limited to basic items (e.g., Microsoft Office Suite) without in-demand technical specifics like Python, SQL, or data visualization tools, no resume is provided to detail experience or projects, and no professional links (e.g., LinkedIn, GitHub) are included to showcase work. The experience level is entry-level, which impacts seniority, and language proficiency is unspecified. To improve, the candidate should: 1) Expand the skills section with high-demand technical skills (e.g., Python, SQL, Tableau, statistical analysis) and relevant soft skills (e.g., communication, problem-solving). 2) Create and upload a detailed resume that highlights academic projects, certifications, and any quantifiable achievements (e.g., research outcomes or efficiency gains). 3) Add professional links to a LinkedIn profile and GitHub repository to build credibility and demonstrate practical work. 4) Specify language proficiency levels (e.g., English fluency) to enhance appeal for international opportunities in target areas like the EU, UK, Australia, and USA. 5) Consider pursuing additional certifications or online projects to bolster experience and align with remote roles. These actions will strengthen the profile's depth and alignment with market demands.

Country tier40/100
Job title70/100
Category80/100
Skills50/100
Summary60/100
Experience40/100
Links0/100
Resume0/100
Language50/100

How to improve

The professional summary is clear and well-structured but lacks impact and specificity. Enhance it by: 1) Incorporating specific technical skills and tools (e.g., 'proficient in Python for data analysis, SQL for database management, and Tableau for visualization') to demonstrate hands-on expertise. 2) Adding quantifiable achievements or project examples (e.g., 'conducted research that improved data accuracy by 15%' or 'analyzed complex datasets to support decision-making in cross-functional teams'). 3) Tailoring it with industry-relevant keywords (e.g., 'data-driven insights,' 'statistical modeling,' 'research methodologies') to align with target roles. 4) Emphasizing adaptability and collaboration with concrete examples (e.g., 'thrived in agile, fast-paced environments by collaborating on research initiatives'). 5) Concluding with a strong career objective (e.g., 'seeking to leverage analytical and technical skills in a dynamic research role to contribute to data-driven innovation and efficiency'). This will make the summary more compelling and better reflect market expectations.

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